Han‐Min Chen
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Metabolism, Diabetes, and Cancer 10
- Epidemiology 13
- Autophagy in Disease and Therapy 7
- Fungal Infections and Studies 4
- Co-authors
- Yao‐Jen Liang (10 shared papers)Chi‐Shun Tu (4 shared papers)Yeong-Der Yao (3 shared papers)Chi‐Feng Hung (4 shared papers)Yibo Ou (7 shared papers)Shao‐Hsuan Kao (9 shared papers)Xiangyue Zhou (6 shared papers)Yue He (6 shared papers)
- Journals
- Journal of Proteomics (4 papers)Frontiers in Cellular Neuroscience (3 papers)Journal of Proteome Research (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)PLoS ONE (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Han‐Min Chen
67 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Rehabilitation 230
- Neurology 134
- Biomaterials 200
- Complementary and alternative medicine 72
- Molecular Biology 618
Countries citing papers authored by Han‐Min Chen
This map shows the geographic impact of Han‐Min Chen'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‐Min Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐Min Chen more than expected).
Fields of papers citing papers by Han‐Min Chen
This network shows the impact of papers produced by Han‐Min Chen. 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‐Min Chen. The network helps show where Han‐Min Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Han‐Min Chen, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 245 | |
| 2 | 2012 | 141 | |
| 3 | 2011 | 98 | |
| 4 | 2014 | 94 | |
| 5 | 2007 | 93 | |
| 6 | 2008 | 91 | |
| 7 | 2020 | 90 | |
| 8 | 2015 | 73 | |
| 9 | 2021 | 70 | |
| 10 | 2011 | 62 | |
| 11 | 2005 | 50 | |
| 12 | 2009 | 48 | |
| 13 | 2013 | 44 | |
| 14 | 2021 | 41 | |
| 15 | 2014 | 37 | |
| 16 | 2010 | 35 | |
| 17 | 2008 | 32 | |
| 18 | 2020 | 32 | |
| 19 | 2010 | 29 | |
| 20 | 2005 | 29 |
About Han‐Min Chen
Han‐Min Chen is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Plant Science and Rehabilitation, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Autophagy in Disease and Therapy (7 papers), Wound Healing and Treatments (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Fungal Infections and Studies (4 papers), Calcium signaling and nucleotide metabolism (4 papers), Adipose Tissue and Metabolism (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Rehabilitation (230 citations), Neurology (134 citations), Biomaterials (200 citations), Complementary and alternative medicine (72 citations) and Molecular Biology (618 citations). Han‐Min Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yao‐Jen Liang, Chi‐Shun Tu, Yeong-Der Yao, Chi‐Feng Hung, Yibo Ou, Shao‐Hsuan Kao, Xiangyue Zhou, Yue He, Jiun‐Tsai Lin and Jyh‐Gang Leu. Their work appears in journals such as Journal of Proteomics, Frontiers in Cellular Neuroscience, Journal of Proteome Research, Evidence-based Complementary and Alternative Medicine and PLoS ONE.
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.