Fahad Alshanbari | Veterinary Science | Best Researcher Award

Best Researcher Award

Fahad Alshanbari
Qassim University

Fahad Alshanbari
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 57204459683
Documents 35
Citations 139
h-index 7
Subject Area Veterinary Science
Event Scientific World Research Awards
ORCID 0000-0001-7267-4301

The Best Researcher Award recognition article highlights the scholarly activities and research profile of Fahad Alshanbari from Qassim University. His academic contributions within veterinary science demonstrate sustained engagement in scientific investigation, publication, and knowledge dissemination. Through peer-reviewed research outputs and citation impact, his work contributes to ongoing developments in veterinary medicine, animal health, and related biological sciences. The profile presented below summarizes his research background, publication activity, scientific influence, and suitability for recognition within the Scientific World Research Awards program.[1]

Abstract

Fahad Alshanbari is a researcher affiliated with Qassim University whose scholarly activities focus on veterinary science and associated biological disciplines. His publication record reflects active participation in scientific research addressing animal health, disease management, veterinary diagnostics, and related biomedical applications. With 35 indexed publications, 139 citations, and an h-index of 7, his work demonstrates measurable academic visibility and influence. The accumulated research output indicates a commitment to advancing veterinary knowledge through peer-reviewed studies, interdisciplinary collaboration, and scientific dissemination. These achievements support consideration for recognition through the Scientific World Research Awards program.[1][2]

Keywords

Veterinary Science, Animal Health, Biomedical Research, Veterinary Medicine, Scientific Publications, Research Impact, Academic Recognition, Citation Analysis, Animal Disease Studies, Best Researcher Award.

Introduction

Research excellence within veterinary science plays an important role in improving animal welfare, disease prevention, and public health outcomes. Academic researchers contribute by generating evidence-based knowledge that supports veterinary practice and scientific advancement. Fahad Alshanbari’s scholarly profile reflects participation in this broader scientific mission through publication, collaboration, and dissemination of research findings within recognized academic platforms. His research activities align with contemporary objectives aimed at strengthening veterinary science and biological research communities.[1]

Research Profile

The research profile of Fahad Alshanbari demonstrates consistent scholarly engagement within veterinary science. His Scopus-indexed publication record comprises 35 documents supported by an accumulated citation count of 139 and an h-index of 7. These metrics indicate both productivity and academic visibility within the research community. His affiliation with Qassim University further supports participation in collaborative scientific investigations and dissemination of research findings through reputable scholarly channels.[1]

Research Contributions

The research contributions associated with Fahad Alshanbari encompass veterinary science topics relevant to animal health, disease investigation, biological assessment, and clinical applications. His publications contribute to scientific understanding through data-driven methodologies and peer-reviewed dissemination. Such work supports knowledge generation, promotes evidence-based veterinary practices, and strengthens the academic literature available to researchers, clinicians, and students working within related scientific fields.[2][3]

Publications

  • Peer-reviewed veterinary science research articles published in indexed journals.
  • Collaborative studies addressing animal health and biological sciences.
  • Research outputs contributing to veterinary diagnostics and disease investigations.
  • Scientific publications recognized through citation activity and scholarly referencing.
  • Academic works supporting evidence-based veterinary practices and research development.

Research Impact

Research impact may be evaluated through publication productivity, citation performance, and scholarly influence. With 139 citations and an h-index of 7, Fahad Alshanbari’s work has achieved measurable recognition within academic literature. Citation activity suggests that published findings have been referenced by other researchers, indicating relevance to ongoing investigations and broader scientific discussions in veterinary science and related biomedical domains.[1][4]

Award Suitability

The Best Researcher Award recognizes sustained scientific achievement, publication excellence, and contributions to knowledge advancement. Fahad Alshanbari’s research profile demonstrates several characteristics commonly associated with academic recognition, including peer-reviewed publications, measurable citation impact, institutional affiliation, and ongoing scholarly engagement. His documented research record within veterinary science provides an appropriate foundation for consideration within the Scientific World Research Awards evaluation framework.[5]

Conclusion

Fahad Alshanbari’s academic profile reflects active participation in veterinary science research through publication, citation impact, and scholarly dissemination. His documented contributions support scientific understanding within his field while demonstrating commitment to research excellence. The combination of publication productivity, measurable influence, and institutional engagement highlights the significance of his academic achievements and supports recognition through research-focused award programs.

References

  1. Elsevier. (n.d.). Scopus author details: Fahad Alshanbari, Author ID 57204459683. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57204459683
  2. ORCID. (n.d.). ORCID record for Fahad Alshanbari.
    https://orcid.org/0000-0001-7267-4301
  3. Poultry Science. (2026). Photoperiod as a neuroendocrine regulator: A review on pineal-melatonin signaling and physiological plasticity in poultry.
    DOI:https://doi.org/10.1016/j.psj.2026.106743
  4. Journal article. (2026). Heat Stress Effects on Milk Production and the Genomic Architecture of Thermotolerance in Dairy Cattle.
    DOI:https://doi.org/10.3390/biology15100813
  5. Scientific World Research Awards. (n.d.). Award criteria and recognition framework.
    https://scientificworld.net/

Haris Mahboob | Veterinary Science | Best Researcher Award

Dr. Haris Mahboob | Veterinary Science | Best Researcher Award

Student | National University of Sciences & Technology | Pakistan

Haris Mahboob is a dedicated and multidisciplinary researcher working across artificial intelligence, healthcare, molecular medicine, and veterinary biology, with a strong focus on integrating machine learning and deep learning into biomedical research. His research interests include AI-assisted disease diagnosis, oncology-focused predictive modeling, biomarker identification, drug discovery support, and computational analysis of imbalanced medical datasets. He is particularly engaged in developing intelligent systems that enhance early detection of complex diseases such as cancer and improve overall clinical decision-making. His research skills span association-rule mining, machine learning model development, handling imbalanced datasets using techniques like SMOTE, data preprocessing, statistical analysis, feature engineering, biomedical interpretation, and writing impactful scientific manuscripts. Haris has contributed to notable publications, including a study on identifying etiological factors of malignant mesothelioma using machine learning techniques in an imbalanced dataset, demonstrating his ability to merge clinical insight with informatics. His work on evaluating the effectiveness of a feed-based monovalent Aeromonas vaccine in farmed carp reflects his strength in immunology, microbiology, and applied animal health research. While specific awards or honors are not publicly documented, his growing body of research, multidisciplinary expertise, and involvement in high-quality studies highlight his academic promise and increasing recognition in his field. Based on available Scopus-indexed records of his two publications, his citation metrics indicate emerging research influence, with citations contributed primarily through his machine-learning-based oncology study. Although complete citation totals, exact document counts, and a verified h-index are not explicitly listed in public sources, his citation impact is steadily increasing as his work gains broader visibility. In conclusion, Haris Mahboob represents an early-career researcher with strong potential, actively bridging AI technologies with biomedical and veterinary sciences. His integrated approach to data-driven healthcare innovation positions him to make significant contributions in oncology research, diagnostic intelligence, and translational biomedical applications in the future.

Profiles: Scopus | ORCID | Google Scholar | LinkedIn

Featured Publications

Alam, T. M., Shaukat, K., Mahboob, H., Sarwar, M. U., Iqbal, F., Nasir, A., Hameed, I. A., & Luo, S. (2022). A machine learning approach for identification of malignant mesothelioma etiological factors in an imbalanced dataset. The Computer Journal, 65(7), 1740–1751.

Mubeen, N., Abbas, F., Hafeez-ur-Rehman, M., Crumlish, M., Mahboob, H., Akmal, M., Sadiqa, A., Alam, T. M., & Jalil, S. (2025). Effectiveness of feed-based monovalent Aeromonas vaccine in farmed carp. Microorganisms, 13(8), 1903.

The nominee’s work drives meaningful advancements at the intersection of science, society, and innovation by developing data-driven solutions that enhance healthcare, strengthen disease prevention, and support evidence-based decision-making. Through interdisciplinary research and forward-looking scientific contributions, the nominee is shaping impactful technologies that improve human and animal well-being while promoting global progress across biomedical, veterinary, and industrial sectors.

Muhammad Aleem Abbas Shah | Veterinary Science | Young Scientist Award

Dr. Muhammad Aleem Abbas Shah | Veterinary Science | Young Scientist Award

Researcher | Kyungpook National University | South Korea

Dr. Muhammad Aleem Abbas Shah is a dynamic researcher and academic whose extensive expertise encompasses clinical pharmacology, pharmacokinetics, pharmacodynamics, immunology, and phytomedicine, reflecting a multidisciplinary orientation that bridges biomedical, environmental, and computational domains. After earning his Doctor of Veterinary Medicine (DVM), he continued his academic journey with advanced studies and tenure at Kyungpook National University, complementing his scientific research with educational leadership and methodological instruction in education and psychology. His career includes numerous collaborations in university and research settings, and work as an educator and mentor, enabling a diverse professional experience encompassing laboratory research, public health risk analysis, and academic publishing. Dr. Abbas’s research interests focus on the therapeutic efficacy of botanical extracts in metabolic, inflammatory, and immune-regulated disorders, anti-obesity and antioxidant mechanisms, computational modeling for biomedical applications, and innovations in educational research approaches. His research skills include advanced pharmacological experimentation, gut microbiota studies, animal modeling, statistical analyses, and the development/application of computational tools such as multinomial Naive Bayes models for sentiment analysis and nonlinear analysis in fuzzy metric spaces. He is recognized for research on modulation of immune responses by probiotics, public health investigations on heavy metal residues, and cross-disciplinary advances like wireless portable electrocardiograph system design. Dr. Abbas’s distinctions include participation in international conferences and research collaborations, grant-based projects, and academic awards reflective of his interdisciplinary impact. As of 2025, his scholarly influence is evidenced by 709 citations and an h-index of 12, with 17 documents indexed since 2020 according to Google Scholar, and comparable metrics reported by Scopus. In summary, Dr. Abbas stands out for pioneering multifaceted research in biomedical sciences and education, leveraging integrative skills and global collaborations to advance therapeutic science, public health, and data-driven education.

Featured Publications

M. Abbas, K. A. Memon, A. A. Jamali, S. Memon, & A. Ahmed. (2019). Multinomial Naive Bayes classification model for sentiment analysis. International Journal of Computer Science and Network Security, 19(3), 62. [Cited by 264].​

Y. Quah, S. J. Lee, E. B. Lee, B. T. Birhanu, M. S. Ali, M. A. Abbas, N. Boby, Z. E. Im, … (2020). Cornus officinalis ethanolic extract with potential anti-allergic, anti-inflammatory, and antioxidant activities. Nutrients, 12(11), 3317. [Cited by 61].​

J. G. Augoustides, E. Greenblatt, M. A. Abbas, J. P. O’Reardon, & C. J. Datto. (2002). Clinical approach to agitation after electroconvulsive therapy: a case report and literature review. The Journal of ECT, 18(4), 213-217. [Cited by 34].​

M. A. Abbas, N. Boby, E. B. Lee, J. H. Hong, & S. C. Park. (2022). Anti-obesity effects of Ecklonia cava extract in high-fat diet-induced obese rats. Antioxidants, 11(2), 310. [Cited by 31].​

N. Boby, M. A. Abbas, E. B. Lee, Z. E. Im, W. H. Hsu, & S. C. Park. (2021). Protective effect of Pyrus ussuriensis Maxim. extract against ethanol-induced gastritis in rats. Antioxidants, 10(3), 439. [Cited by 30].​