Jin Yan
Impact in
- Aging top 10%
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Signaling Pathways in Disease 4
- FOXO transcription factor regulation 3
- Immunology 11
- Atherosclerosis and Cardiovascular Diseases 4
- Reproductive System and Pregnancy 4
- Immune cells in cancer 3
- Co-authors
- Barbara F. Hales (4 shared papers)Hidehito Kuroyanagi (3 shared papers)Takuji Shirasawa (3 shared papers)Boyang Yu (2 shared papers)Masa-aki Muramatsu (2 shared papers)Yoichi Matsuda (2 shared papers)Asato Kuroiwa (2 shared papers)Junping Kou (1 shared paper)
In The Last Decade
Jin Yan
34 papers receiving 958 citations
Peers
Comparison fields: 5 of 91
- Aging 27
- Physiology 50
- Cancer Research 163
- Epidemiology 319
- Cell Biology 135
Countries citing papers authored by Jin Yan
This map shows the geographic impact of Jin Yan'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 Jin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yan more than expected).
Fields of papers citing papers by Jin Yan
This network shows the impact of papers produced by Jin Yan. 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 Jin Yan. The network helps show where Jin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yan, 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 | 1998 | 113 | |
| 2 | 2017 | 100 | |
| 3 | 2000 | 100 | |
| 4 | 2006 | 94 | |
| 5 | 1998 | 87 | |
| 6 | 1999 | 74 | |
| 7 | 2019 | 52 | |
| 8 | 2008 | 41 | |
| 9 | 2005 | 32 | |
| 10 | 2006 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2011 | 29 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 19 | |
| 16 | 2018 | 16 | |
| 17 | 2017 | 13 | |
| 18 | 2008 | 12 | |
| 19 | 2010 | 11 | |
| 20 | STAT5 inhibitor attenuates atherosclerosis via inhibition of inflammation: the role of STAT5 in atherosclerosis. | 2021 | 11 |
About Jin Yan
Jin Yan is a scholar working on Molecular Biology, Immunology, Cancer Research, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 968 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), MicroRNA in disease regulation (4 papers), Reproductive System and Pregnancy (4 papers), Cell Adhesion Molecules Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), FOXO transcription factor regulation (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Aging (27 citations), Physiology (50 citations), Cancer Research (163 citations), Epidemiology (319 citations) and Cell Biology (135 citations). Jin Yan has collaborated with scholars based in China, Canada and Japan. Frequent co-authors include Barbara F. Hales, Hidehito Kuroyanagi, Takuji Shirasawa, Boyang Yu, Masa-aki Muramatsu, Yoichi Matsuda, Asato Kuroiwa, Junping Kou, Noriko Okazaki and Yasuhiko Masuho. Their work appears in journals such as Biomedicine & Pharmacotherapy, Journal of Pharmacology and Experimental Therapeutics, Toxicological Sciences, Pesticide Biochemistry and Physiology and Bioscience Reports.
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.