Zhen Jin
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Inflammasome and immune disorders 5
-
- Sirtuins and Resveratrol in Medicine 6
- Co-authors
- Feng Yao (12 shared papers)Weirong Wang (10 shared papers)Zihan Zheng (10 shared papers)Rong Lin (7 shared papers)Danli Chen (7 shared papers)Jianjun Yang (6 shared papers)Lifang Chen (4 shared papers)Yanhao He (3 shared papers)
- Journals
- Experimental Cell Research (3 papers)International Immunopharmacology (2 papers)Pharmaceutical Development and Technology (1 paper)DNA and Cell Biology (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhen Jin
19 papers receiving 565 citations
Peers
Comparison fields: 5 of 78
- Geriatrics and Gerontology 96
- Physiology 32
- Immunology 98
- Molecular Biology 290
- Nephrology 27
Countries citing papers authored by Zhen Jin
This map shows the geographic impact of Zhen 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 Zhen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Jin more than expected).
Fields of papers citing papers by Zhen Jin
This network shows the impact of papers produced by Zhen 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 Zhen Jin. The network helps show where Zhen Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 123 | |
| 2 | 2017 | 51 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2018 | 33 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2021 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2022 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Zhen Jin
Zhen Jin is a scholar working on Molecular Biology, Geriatrics and Gerontology, Biochemistry, Immunology and Nephrology, having authored 20 papers that have together received 570 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (6 papers), Inflammasome and immune disorders (5 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Nuclear Receptors and Signaling (2 papers), Biochemical effects in animals (2 papers) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Geriatrics and Gerontology (96 citations), Physiology (32 citations), Immunology (98 citations), Molecular Biology (290 citations) and Nephrology (27 citations). Zhen Jin has collaborated with scholars based in China and United States. Frequent co-authors include Feng Yao, Weirong Wang, Zihan Zheng, Rong Lin, Danli Chen, Jianjun Yang, Lifang Chen, Yanhao He, Lifang Chen and Bo Wang. Their work appears in journals such as Experimental Cell Research, International Immunopharmacology, Pharmaceutical Development and Technology, DNA and Cell Biology and Naunyn-Schmiedeberg s Archives of Pharmacology.
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.