Jun Tan
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Endometriosis Research and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Immunology 10
- Reproductive System and Pregnancy 7
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- Ovarian function and disorders 6
- Endometriosis Research and Treatment 4
- Ovarian cancer diagnosis and treatment 2
- Co-authors
- Shengping Hou (6 shared papers)Xiaotang Wang (3 shared papers)Wanqian Li (3 shared papers)Siyuan He (3 shared papers)Guoqing Wang (2 shared papers)Wei Fan (2 shared papers)Na Li (1 shared paper)Yan Ma (1 shared paper)
- Journals
- Reproductive Biology and Endocrinology (3 papers)Reproductive Sciences (2 papers)Clinical Immunology (2 papers)Reproductive BioMedicine Online (1 paper)Journal of Assisted Reproduction and Genetics (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Jun Tan
31 papers receiving 850 citations
Jun Tan's Hit Papers
Peers
Comparison fields: 5 of 83
- Reproductive Medicine 122
- Cancer Research 178
- Immunology 198
- Hepatology 46
- Obstetrics and Gynecology 39
Countries citing papers authored by Jun Tan
This map shows the geographic impact of Jun 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 Jun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tan more than expected).
Fields of papers citing papers by Jun Tan
This network shows the impact of papers produced by Jun 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 Jun Tan. The network helps show where Jun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | YY1 lactylation in microglia promotes angiogenesis through transcription activation-mediated upregulation of FGF2 Hit paper breakdown → | 2023 | 192 |
| 2 | 2014 | 176 | |
| 3 | 2021 | 110 | |
| 4 | 2018 | 48 | |
| 5 | 2020 | 46 | |
| 6 | 2020 | 40 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 26 | |
| 9 | 2023 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2017 | 15 | |
| 13 | 2022 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 7 |
About Jun Tan
Jun Tan is a scholar working on Immunology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 851 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Reproductive System and Pregnancy (7 papers), Ovarian function and disorders (6 papers), Endometriosis Research and Treatment (4 papers), Ovarian cancer diagnosis and treatment (2 papers), Kruppel-like factors research (2 papers), Prenatal Screening and Diagnostics (2 papers) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Reproductive Medicine (122 citations), Cancer Research (178 citations), Immunology (198 citations), Hepatology (46 citations) and Obstetrics and Gynecology (39 citations). Jun Tan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Shengping Hou, Xiaotang Wang, Wanqian Li, Siyuan He, Guoqing Wang, Wei Fan, Na Li, Yan Ma, Qi Lu and Mudi Yao. Their work appears in journals such as Reproductive Biology and Endocrinology, Reproductive Sciences, Clinical Immunology, Reproductive BioMedicine Online and Journal of Assisted Reproduction and Genetics.
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.