Fujun Jin
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
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- Bone Metabolism and Diseases
- Gut microbiota and health
- Heat shock proteins research
Papers in
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- Bone Metabolism and Diseases 14
- Heat shock proteins research 4
- DNA and Nucleic Acid Chemistry 3
- Epidemiology 12
- Herpesvirus Infections and Treatments 11
- Co-authors
- Yifei Wang (30 shared papers)Yanting Wu (13 shared papers)Yiliang Wang (12 shared papers)Kaio Kitazato (6 shared papers)Xiaogang Wang (8 shared papers)Qiao-Li Wang (8 shared papers)Yiliang Wang (5 shared papers)Shurong Qin (6 shared papers)
- Journals
- Nature Communications (4 papers)Theranostics (3 papers)PLoS ONE (2 papers)International Journal of Biological Sciences (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Fujun Jin
57 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 192
- Molecular Biology 510
- Neurology 45
- Infectious Diseases 97
- Biological Psychiatry 7
Countries citing papers authored by Fujun Jin
This map shows the geographic impact of Fujun 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 Fujun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujun Jin more than expected).
Fields of papers citing papers by Fujun Jin
This network shows the impact of papers produced by Fujun 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 Fujun Jin. The network helps show where Fujun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fujun 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 106 | |
| 2 | 2020 | 100 | |
| 3 | 2017 | 87 | |
| 4 | 2024 | 82 | |
| 5 | 2017 | 75 | |
| 6 | 2016 | 71 | |
| 7 | 2017 | 63 | |
| 8 | 2021 | 61 | |
| 9 | 2019 | 54 | |
| 10 | 2020 | 51 | |
| 11 | 2014 | 46 | |
| 12 | 2022 | 41 | |
| 13 | 2020 | 40 | |
| 14 | 2018 | 37 | |
| 15 | 2018 | 34 | |
| 16 | 2014 | 33 | |
| 17 | 2019 | 28 | |
| 18 | 2019 | 28 | |
| 19 | 2018 | 27 | |
| 20 | 2019 | 26 |
About Fujun Jin
Fujun Jin is a scholar working on Molecular Biology, Epidemiology, Complementary and alternative medicine, Neurology and Dermatology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (14 papers), Herpesvirus Infections and Treatments (11 papers), Heat shock proteins research (4 papers), Skin Protection and Aging (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Bone health and osteoporosis research (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (192 citations), Molecular Biology (510 citations), Neurology (45 citations), Infectious Diseases (97 citations) and Biological Psychiatry (7 citations). Fujun Jin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yifei Wang, Yanting Wu, Yiliang Wang, Kaio Kitazato, Xiaogang Wang, Qiao-Li Wang, Yiliang Wang, Shurong Qin, Zhe Ren and Lianzhou Huang. Their work appears in journals such as Nature Communications, Theranostics, PLoS ONE, International Journal of Biological Sciences and International Journal of Biological Macromolecules.
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.