Fang Tan
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Glioma Diagnosis and Treatment
- Molecular Biology top 10%
- Gut microbiota and health
Papers in
-
- Gut microbiota and health 17
- Physiology 20
- Biochemical effects in animals 10
- Co-authors
- Xin Zhao (59 shared papers)Jianfei Mu (22 shared papers)Ruokun Yi (31 shared papers)Xianrong Zhou (17 shared papers)Solomon F. Ofori‐Acquah (15 shared papers)W.K. Alfred Yung (3 shared papers)Samit Ghosh (9 shared papers)Kenneth R. Hess (2 shared papers)
- Journals
- Food Science & Nutrition (7 papers)Frontiers in Microbiology (6 papers)Blood (5 papers)Journal of Food Biochemistry (4 papers)RSC Advances (4 papers)
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Fang Tan
132 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 164
- Genetics 298
- Molecular Biology 1.2k
- Biological Psychiatry 42
- Biochemistry 100
- Pharmacology 131
Countries citing papers authored by Fang Tan
This map shows the geographic impact of Fang Tan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fang Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Tan more than expected).
Fields of papers citing papers by Fang Tan
This network shows the impact of papers produced by Fang Tan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fang Tan. The network helps show where Fang Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 210 | |
| 2 | The expression of PAX6, PTEN, vascular endothelial growth factor, and epidermal growth factor receptor in gliomas: relationship to tumor grade and survival. | 2003 | 164 |
| 3 | 2008 | 78 | |
| 4 | 2006 | 76 | |
| 5 | 2005 | 75 | |
| 6 | 2019 | 56 | |
| 7 | 2019 | 50 | |
| 8 | 2020 | 47 | |
| 9 | 2019 | 47 | |
| 10 | 2019 | 46 | |
| 11 | 2019 | 45 | |
| 12 | 2012 | 44 | |
| 13 | 2019 | 41 | |
| 14 | 2022 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2020 | 38 | |
| 17 | 2019 | 38 | |
| 18 | 2021 | 37 | |
| 19 | 2020 | 37 | |
| 20 | 2019 | 34 |
About Fang Tan
Fang Tan is a scholar working on Molecular Biology, Physiology, Food Science, Cancer Research and Pathology and Forensic Medicine, having authored 143 papers that have together received 2.5k indexed citations. Recurring topics across this work include Gut microbiota and health (17 papers), Probiotics and Fermented Foods (13 papers), Biochemical effects in animals (10 papers), Antioxidants, Aging, Portulaca oleracea (10 papers), Cancer-related molecular mechanisms research (8 papers), Hemoglobinopathies and Related Disorders (7 papers), Pharmacological Effects of Natural Compounds (7 papers) and Tea Polyphenols and Effects (7 papers). The work is most often cited by research in Genetics (298 citations), Molecular Biology (1.2k citations), Biological Psychiatry (42 citations), Biochemistry (100 citations) and Pharmacology (131 citations). Fang Tan has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Xin Zhao, Jianfei Mu, Ruokun Yi, Xianrong Zhou, Solomon F. Ofori‐Acquah, W.K. Alfred Yung, Samit Ghosh, Kenneth R. Hess, Yi Zhou and Olufolake Adisa. Their work appears in journals such as Food Science & Nutrition, Frontiers in Microbiology, Blood, Journal of Food Biochemistry and RSC Advances.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.