Pan Tan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 5%
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Circular RNAs in diseases 2
-
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Junkun Zhan (17 shared papers)You‐Shuo Liu (14 shared papers)Wuyang Huang (12 shared papers)Yanjiao Wang (9 shared papers)Zhiyong Tang (8 shared papers)Yi‐Yin Chen (4 shared papers)Xiao Lin (4 shared papers)Jia‐Yu Zhong (3 shared papers)
- Journals
- Cardiovascular Diabetology (2 papers)BioMed Research International (1 paper)International Journal of Cardiology (1 paper)Heart & Lung (1 paper)Aging (1 paper)
- Partner nations
- China
In The Last Decade
Pan Tan
19 papers receiving 751 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 215
- Geriatrics and Gerontology 42
- Nephrology 75
- Aging 12
- Orthopedics and Sports Medicine 49
Countries citing papers authored by Pan Tan
This map shows the geographic impact of Pan 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 Pan Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Tan more than expected).
Fields of papers citing papers by Pan Tan
This network shows the impact of papers produced by Pan 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 Pan Tan. The network helps show where Pan Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2015 | 95 | |
| 3 | 2019 | 64 | |
| 4 | 2019 | 60 | |
| 5 | 2014 | 58 | |
| 6 | 2016 | 54 | |
| 7 | 2016 | 51 | |
| 8 | 2015 | 43 | |
| 9 | 2014 | 36 | |
| 10 | 2013 | 35 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 27 | |
| 13 | 2013 | 25 | |
| 14 | 2019 | 17 | |
| 15 | 2014 | 14 | |
| 16 | 2015 | 9 | |
| 17 | 2017 | 3 | |
| 18 | 2014 | 1 | |
| 19 | 2023 | 1 |
About Pan Tan
Pan Tan is a scholar working on Molecular Biology, Physiology, Cancer Research, Geriatrics and Gerontology and Epidemiology, having authored 19 papers that have together received 752 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Parathyroid Disorders and Treatments (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Circular RNAs in diseases (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Cancer Research (215 citations), Geriatrics and Gerontology (42 citations), Nephrology (75 citations), Aging (12 citations) and Orthopedics and Sports Medicine (49 citations). Pan Tan has collaborated with scholars based in China. Frequent co-authors include Junkun Zhan, You‐Shuo Liu, Wuyang Huang, Yanjiao Wang, Zhiyong Tang, Yi‐Yin Chen, Xiao Lin, Jia‐Yu Zhong, Yanjiao Wang and Jieyu He. Their work appears in journals such as Cardiovascular Diabetology, BioMed Research International, International Journal of Cardiology, Heart & Lung and Aging.
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.