Han Lin
Impact in
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- Curcumin's Biomedical Applications
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- Hormonal Regulation and Hypertension
Papers in
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- Acupuncture Treatment Research Studies 3
- Traditional Chinese Medicine Analysis 2
- Co-authors
- Qingquan Lian (4 shared papers)Ren‐Shan Ge (4 shared papers)Guoxin Hu (3 shared papers)Dianne O. Hardy (2 shared papers)Shuhua Zhou (1 shared paper)Jingjing Guo (1 shared paper)Yanhui Chu (1 shared paper)Barry R. Zirkin (1 shared paper)
- Journals
- Life Sciences (2 papers)Frontiers in Pharmacology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Frontiers in Psychiatry (1 paper)Journal of Andrology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Han Lin
25 papers receiving 319 citations
Peers
Comparison fields: 5 of 89
- Molecular Medicine 33
- Endocrinology, Diabetes and Metabolism 72
- Reproductive Medicine 35
- Complementary and alternative medicine 33
- Behavioral Neuroscience 13
Countries citing papers authored by Han Lin
This map shows the geographic impact of Han Lin'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 Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Lin more than expected).
Fields of papers citing papers by Han Lin
This network shows the impact of papers produced by Han Lin. 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 Han Lin. The network helps show where Han Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Lin, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 59 | |
| 2 | 2013 | 59 | |
| 3 | 2011 | 31 | |
| 4 | 2008 | 22 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 2010 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2003 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 1995 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 1998 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2015 | 3 |
About Han Lin
Han Lin is a scholar working on Complementary and alternative medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology and Neurology, having authored 26 papers that have together received 328 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Acupuncture Treatment Research Studies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Liver Disease and Transplantation (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Traditional Chinese Medicine Analysis (2 papers), Stress Responses and Cortisol (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Molecular Medicine (33 citations), Endocrinology, Diabetes and Metabolism (72 citations), Reproductive Medicine (35 citations), Complementary and alternative medicine (33 citations) and Behavioral Neuroscience (13 citations). Han Lin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qingquan Lian, Ren‐Shan Ge, Guoxin Hu, Dianne O. Hardy, Shuhua Zhou, Jingjing Guo, Yanhui Chu, Barry R. Zirkin, Guorong Chen and Shulin Xiang. Their work appears in journals such as Life Sciences, Frontiers in Pharmacology, Evidence-based Complementary and Alternative Medicine, Frontiers in Psychiatry and Journal of Andrology.
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.