Ke Jin
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Developmental Biology and Gene Regulation 3
- Epigenetics and DNA Methylation 3
- Co-authors
- Cornelia M. Weyand (9 shared papers)Jörg J. Goronzy (9 shared papers)Bowen Wu (7 shared papers)Xing Long (12 shared papers)Lü Tian (3 shared papers)Zhenke Wen (3 shared papers)Gerald J. Berry (5 shared papers)Yi Shen (2 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Cellular and Molecular Medicine (3 papers)Cell Metabolism (3 papers)Nature Immunology (2 papers)Journal of Oral Pathology and Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ke Jin
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Complementary and Manual Therapy 60
- Rheumatology 251
- Immunology 294
- Cancer Research 201
- Urology 61
Countries citing papers authored by Ke Jin
This map shows the geographic impact of Ke Jin'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 Ke Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Jin more than expected).
Fields of papers citing papers by Ke Jin
This network shows the impact of papers produced by Ke Jin. 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 Ke Jin. The network helps show where Ke Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Jin, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 149 | |
| 2 | 2019 | 130 | |
| 3 | 2021 | 89 | |
| 4 | 2019 | 73 | |
| 5 | 2020 | 71 | |
| 6 | 2020 | 71 | |
| 7 | 2021 | 60 | |
| 8 | 2016 | 59 | |
| 9 | 2022 | 57 | |
| 10 | 2020 | 51 | |
| 11 | 2020 | 41 | |
| 12 | 2007 | 38 | |
| 13 | 2021 | 31 | |
| 14 | 2007 | 30 | |
| 15 | 2014 | 27 | |
| 16 | 2018 | 26 | |
| 17 | 2020 | 25 | |
| 18 | Erbium: YAG laser (2,940 nm) treatment stimulates hair growth through upregulating Wnt 10b and β-catenin expression in C57BL/6 mice. | 2015 | 24 |
| 19 | 2022 | 23 | |
| 20 | 2017 | 22 |
About Ke Jin
Ke Jin is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Epidemiology, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer-related molecular mechanisms research (4 papers), Developmental Biology and Gene Regulation (3 papers), Epigenetics and DNA Methylation (3 papers), Temporomandibular Joint Disorders (3 papers), Adenosine and Purinergic Signaling (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Complementary and Manual Therapy (60 citations), Rheumatology (251 citations), Immunology (294 citations), Cancer Research (201 citations) and Urology (61 citations). Ke Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Cornelia M. Weyand, Jörg J. Goronzy, Bowen Wu, Xing Long, Lü Tian, Zhenke Wen, Gerald J. Berry, Yi Shen, Yinyin Li and Tuantuan Zhao. Their work appears in journals such as Cancer Research, Journal of Cellular and Molecular Medicine, Cell Metabolism, Nature Immunology and Journal of Oral Pathology and Medicine.
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.