Jin Han
Impact in
- Rehabilitation top 10%
- Wound Healing and Treatments
- Pathology and Forensic Medicine top 10%
- Cardiac Ischemia and Reperfusion
Papers in ⓘ
- Co-authors
- Junling Shi (10 shared papers)Bing Pang (9 shared papers)Chunmei Jiang (7 shared papers)Won Sun Park (6 shared papers)Mohamad Warda (6 shared papers)Xiaoguang Xu (5 shared papers)Dongyan Shao (7 shared papers)Ning Liao (6 shared papers)
- Journals
- Food & Function (3 papers)American Journal of Physiology-Heart and Circulatory Physiology (3 papers)PROTEOMICS (2 papers)Phytomedicine (2 papers)Food Research International (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Jin Han
29 papers receiving 962 citations
Peers
Comparison fields: 5 of 100
- Rehabilitation 63
- Pathology and Forensic Medicine 142
- Molecular Biology 537
- Cancer Research 110
- Nutrition and Dietetics 89
Countries citing papers authored by Jin Han
This map shows the geographic impact of Jin Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Han more than expected).
Fields of papers citing papers by Jin Han
This network shows the impact of papers produced by Jin Han. 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 Han. The network helps show where Jin Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Han, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 83 | |
| 2 | 2021 | 77 | |
| 3 | 2005 | 73 | |
| 4 | 2007 | 64 | |
| 5 | 2021 | 57 | |
| 6 | 2019 | 57 | |
| 7 | 2021 | 55 | |
| 8 | 2011 | 53 | |
| 9 | 2020 | 47 | |
| 10 | 2007 | 42 | |
| 11 | 2018 | 39 | |
| 12 | 2020 | 38 | |
| 13 | 2019 | 34 | |
| 14 | 2020 | 30 | |
| 15 | 2008 | 30 | |
| 16 | 2015 | 29 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2018 | 23 |
About Jin Han
Jin Han is a scholar working on Rehabilitation, Toxicology, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 30 papers that have together received 974 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Cardiac Ischemia and Reperfusion (5 papers), Redox biology and oxidative stress (3 papers), Gut microbiota and health (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Probiotics and Fermented Foods (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Rehabilitation (63 citations), Pathology and Forensic Medicine (142 citations), Molecular Biology (537 citations), Cancer Research (110 citations) and Nutrition and Dietetics (89 citations). Jin Han has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Junling Shi, Bing Pang, Chunmei Jiang, Won Sun Park, Mohamad Warda, Xiaoguang Xu, Dongyan Shao, Ning Liao, Junjun Li and Jae Boum Youm. Their work appears in journals such as Food & Function, American Journal of Physiology-Heart and Circulatory Physiology, PROTEOMICS, Phytomedicine and Food Research International.
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.