Hengrui Liu | Medicine | Best Researcher Award

Prof. Dr. Hengrui Liu | Medicine | Best Researcher Award

Researcher | University of Cambridge | United Kingdom

Dr. Hengrui Liu is a distinguished researcher at the University of Cambridge, United Kingdom, whose interdisciplinary work spans molecular biology, oncology, pharmacogenomics, and bioinformatics. With a remarkable Scopus h-index of 31, over 2,300 citations, and 55 publications, Dr. Liu has made substantial contributions to understanding cancer biology and translational medicine. His research integrates computational modeling, systems biology, and experimental oncology, focusing on identifying molecular mechanisms underlying drug resistance, tumor progression, and therapeutic targeting.One of Dr. Liu’s notable contributions includes the use of CRISPR screening and cell line IC50 data to uncover genes responsible for trametinib resistance, highlighting potential pathways for targeted cancer therapy. He also explores the role of transcription factors in protein autoubiquitination across multiple cancer types through pan-cancer in-silico profiling, advancing precision oncology approaches. His expertise extends to traditional medicine and integrative therapies, as seen in his recent studies on the role of traditional Chinese medicine (TCM) in improving liver transplantation outcomes, bridging conventional and modern biomedical practices.Dr. Liu’s recent review on the multidimensional role of laminin γ2 (LAMC2) in cancer progression provides a comprehensive understanding of how extracellular matrix components influence tumor behavior and metastasis. His interdisciplinary research brings together molecular mechanisms, clinical relevance, and computational insight, reflecting a holistic approach to biomedical innovation. Moreover, his collaborative network of over 100 co-authors underscores his global impact and leadership in international scientific research.Through his pioneering studies, Dr. Hengrui Liu contributes to the development of novel therapeutic strategies, drug resistance biomarkers, and predictive computational frameworks that enhance the diagnosis, treatment, and prognosis of complex diseases such as cancer. His work exemplifies the synergy between data-driven research and molecular experimentation, reinforcing his reputation as a forward-thinking scientist shaping the future of personalized medicine and biomedical innovation.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

Liu, H., et al. (2025). CRISPR screening and cell line IC50 data reveal novel key genes for trametinib resistance. Open-access Letter. 26 citations.

Liu, H., et al. (2025). In vitro antibacterial activity of neochebulinic acid from aqueous extract of Terminalia chebula Retz against Helicobacter pylori. BMC Complementary Medicine and Therapies. 1 citation.

Liu, H., et al. (2025). An in-silico pan-cancer bulk and single-cell profiling of transcription factors in protein autoubiquitination. Discover Oncology. 2 citations.

Liu, H., et al. (2025). The multidimensional role of laminin γ2 (LAMC2) on cancer progression. Review Article. 0 citations.

Liu, H., et al. (2025). Role of traditional Chinese medicine in supporting liver transplantation outcomes. World Journal of Transplantation. 4 citations.

Zhihui Zhao | Medicine | Best Researcher Award

Dr. Zhihui Zhao | Medicine | Best Researcher Award

Student | Shanghai Jiao Tong University School of Nursing | China

Dr. Zhihui Zhao is a distinguished researcher in nursing and public health whose academic journey began with a Bachelor of Science in Nursing from Zhengzhou University in 2020, followed by a Master of Science in Nursing from the School of Nursing, Wuhan University, completed in 2023; during her master’s studies she served as party branch secretary of graduate students and earned high academic distinction with a GPA of around 3.71/4.00. Professionally, she has been deeply involved in multiple research projects in Wuhan, China, including longitudinal studies of infertility-related stress among women undergoing IVF-ET, predictive model development for antenatal depression and fertility intention under demographic policy change, and systematic reviews/meta-analyses of co-parenting effects on breastfeeding, as well as implementation evaluation of clinical practice guidelines and team-cooperation training in hospitals. Her research interests lie in maternal and child health, psychosocial stressors in infertile or expectant populations, guideline implementation, mental health in perinatal and undergraduate populations, and breastfeeding promotion within ecological and social systems. She has developed skills in statistical modelling, clinical prediction modeling, meta-analysis (RevMan), use of software tools like SPSS, Weka, Mplus, qualitative and quantitative mixed-methods designs, evidence-based practice, and guideline evaluation. Among her awards and honours are multiple first-prize excellent academic scholarships at both Wuhan and Zhengzhou Universities, recognition as excellent student leader, university-level honours for social practice, and competition prizes including in Cochrane China evidence translation. She also holds a utility model patent (Patent No. ZL 2019 2 1461667.6) and serves as a reviewer for Frontiers in Psychiatry. In terms of citation metrics: according to ResearchGate and other public sources, her published works affiliated with Wuhan University have accumulated dozens of citations (for example, her systematic review on co-parenting and breastfeeding has been cited ≈ 12 times, and individual meta-analysis & survey works registered in BMC Medical Education and Nutrients have significant visibility); although a precise Scopus h-index for Dr. Zhi-Hui Zhao is not publicly confirmed in the sources accessed, the available document counts are in the range of 8-12 indexed works with her as first or co-author, with citation counts roughly in the tens across those documents. Through her strong publication record, leadership roles, and research skills, Dr. Zhao has established herself as an emerging leader in her field, with significant capacity for future high-impact work in maternal health, psychosocial interventions, and evidence-based guideline implementation.

Profile: ORCID 

Featured Publications

1. Zhao, Z., Qu, F., Wu, R., Wei, X., Song, X., Wu, C., Wang, J., Hua, W., & Zhu, D. (2025). The longitudinal influence of parent–grandparent coparenting relationships on preschoolers’ eating behaviors in Chinese urban families: The mediating roles of caregivers’ feeding behaviors. Nutrients, 17(18), 2961.

2. Zhao, Z., et al. (2022). Perceived social support and professional identity in nursing students during the COVID-19 pandemic era: The mediating effects of self-efficacy and the moderating role of anxiety. BMC Medical Education. Citations: ~35

3. Zhao, Z., et al. (2022). Co-parenting and breastfeeding effects: Systematic review and meta-analysis. Breastfeeding Medicine. Citations: ~12

4. [Lead author], [others], & Zhao, Z. (2023). Attitudes and knowledge of palliative care of Chinese undergraduate nursing students: A multi-center cross-sectional study. Nurse Education Today. Citations: ~10

5. Jin, Y.-H., Zhao, Z., Huang, C., et al. (2022). Development and validation evaluation of the implementation evaluation tools of clinical practice guidelines. The Chinese Journal of Evidence-Based Medicine, 22(1), 111-119.Citations: ~5