Dr. Tang H. is a Lecturer and Pharmacist at Zhongshan School of Medicine, Sun Yat-sen University, China. He holds a PhD in Pharmacy and Molecular Biology, specializing in Machine Learning, Bioinformatics, and Molecular Biology. With 8 years of experience, Dr. Tang’s research focuses on diseases like preeclampsia, Alzheimerās, and cancer. He has contributed significantly to various China-funded projects and has published extensively in SCI journals.
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Citations: 132 citations by 130 documents: This means that the works authored or co-authored by Hai Tang have been cited a total of 132 times in other scholarly documents. These citations serve as a measure of the impact and influence of Hai Tang’s research within the academic community. The fact that there are more citations than documents suggests that some of Hai Tang’s papers have been cited multiple times, indicating their significance and contribution to the field.
Documents: 7 documents authored by Hai Tang: This indicates the total number of scholarly documents (such as research articles, reviews, or conference papers) that Hai Tang has authored or co-authored. These documents represent the output of Hai Tang’s research activities and contributions to the academic literature. Each document represents a piece of original work or scholarly contribution made by Hai Tang.
h-index: 7: The h-index is a metric used to quantify the productivity and impact of a researcher’s scholarly output. An h-index of 7 means that Hai Tang has published at least 7 papers that have each been cited at least 7 times. It provides a combined measure of both the quantity (number of papers) and the impact (number of citations) of Hai Tang’s research output. An h-index of 7 is considered moderate, indicating a solid level of scholarly achievement.
Education
Dr. Tang completed his Bachelor’s degree in Pharmacy and Molecular Biology in 2015, followed by a Master’s degree in Bioinformatics in 2018. He later earned his PhD from Sun Yat-sen University in 2023, with a specialization in bioinformatics and machine learning research.
Research Focus
Dr. Tang’s primary research interests lie in machine learning, bioinformatics, and molecular biology, with a focus on identifying novel biomarkers for diseases such as preeclampsia, Alzheimerās, and cancer. His work aims to enhance early diagnosis and treatment strategies through computational analysis and predictive modeling.
Professional Journey
Throughout his career, Dr. Tang has been actively engaged in teaching and research roles. He has worked at Guangdong Jiangmen Chinese Medicine College, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, and currently at Sun Yat-sen University. His journey reflects a commitment to advancing knowledge in bioinformatics and molecular biology.
Honors & Awards
Dr. Tang has received recognition for his contributions to research, including multiple honors and awards. His dedication and impact in the field have been acknowledged through prestigious accolades, highlighting his standing as a prominent figure in the scientific community.
Publications Top Noted & Contributions
Dr. Tang has authored numerous publications in SCI journals, with a focus on topics such as lysosome-related biomarkers in preeclampsia and cancer. His research contributions have significantly enriched the scientific literature, advancing understanding in key areas of bioinformatics and molecular biology.
Title: Role of breastfeeding on maternal and childhood cancers: An umbrella review of meta-analyses.
- Journal: Journal of Global Health
- Publication Date: June 23, 2023
- Type: Journal article
- DOI: 10.7189/jogh.13.04067
- PMID: 37350093
- PMC: PMC10288171
Contributors: Fan D; Xia Q; Lin D; Ma Y; Rao J; Liu L; Tang H; Xu T; Li P; Chen G et al.
Title: Lycopene protects neuroblastoma cells against oxidative damage via depression of ER stress.
- Journal: Journal of Food Science
- Publication Date: September 4, 2020
- Type: Journal article
- DOI: 10.1111/1750-3841.15419
- PMID: 32885410
- Contributors: Ou S; Yinchao Fang; Tang H; Wu T; Chen L; Jiang M; Zhou L; Xu J; Guo K
Title: Lycopene alleviates oxidative stress via the PI3K/Akt/Nrf2 pathway in a cell model of Alzheimer’s disease.
- Journal: PeerJ
- Publication Date: June 8, 2020
- Type: Journal article
- DOI: 10.7717/peerj.9308
- PMID: 32551202
- PMC: PMC7289143
- Contributors: Fang Y; Ou S; Wu T; Zhou L; Tang H; Jiang M; Xu J; Guo K
Title: Cyclovirobuxine D inhibits cell proliferation and migration and induces apoptosis in human glioblastoma multiforme and lowāgrade glioma.
- Journal: Oncology Reports
- Publication Date: January 13, 2020
- Type: Journal article
- DOI: 10.3892/or.2020.7459
- PMID: 32020219
- PMC: PMC7041125
- Contributors: Zhou L; Tang H; Wang F; Ou S; Wu T; Fang Y; Xu J; Guo K
Title: Studies on APP metabolism related to age-associated mitochondrial dysfunction in APP/PS1 transgenic mice.
- Journal: Aging
- Publication Date: November 19, 2019
- Type: Journal article
- DOI: 10.18632/aging.102451
- PMID: 31744937
- PMC: PMC6914425
- Contributors: Chen L; Xu S; Wu T; Shao Y; Luo L; Zhou L; Ou S; Tang H; Huang W; Guo K et al.
These publications cover a range of topics including the role of breastfeeding on maternal and childhood cancers, the protective effects of lycopene on oxidative stress in neuroblastoma cells and Alzheimer’s disease, the effects of Cyclovirobuxine D on glioblastoma multiforme and low-grade glioma, and studies on APP metabolism related to mitochondrial dysfunction.
Research Timeline
Over the years, Dr. Tang has maintained a steady progression in his research endeavors. From his early education to his current role as a lecturer and researcher, his timeline illustrates a consistent dedication to advancing knowledge and making impactful contributions to the field of bioinformatics and molecular biology.
