I‐Chen Yu
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
- Neurology 15
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Barrier Structure and Function Studies 2
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- Genomics, phytochemicals, and oxidative stress 6
- Co-authors
- Chawnshang Chang (10 shared papers)Hung‐Yun Lin (8 shared papers)Jui‐Hung Yen (19 shared papers)Shuyuan Yeh (6 shared papers)Ping‐Chang Kuo (18 shared papers)Janet D. Sparks (6 shared papers)Barbara A. Scofield (16 shared papers)Ning-Chun Liu (6 shared papers)
- Journals
- Diabetes (4 papers)The Journal of Immunology (4 papers)Journal of Neuroinflammation (3 papers)Frontiers in Immunology (3 papers)Brain Behavior and Immunity (3 papers)
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
I‐Chen Yu
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Neurology 208
- Biological Psychiatry 51
- Endocrinology, Diabetes and Metabolism 266
- Reproductive Medicine 97
- Immunology 229
Countries citing papers authored by I‐Chen Yu
This map shows the geographic impact of I‐Chen Yu'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 I‐Chen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Chen Yu more than expected).
Fields of papers citing papers by I‐Chen Yu
This network shows the impact of papers produced by I‐Chen Yu. 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 I‐Chen Yu. The network helps show where I‐Chen Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Chen Yu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 176 | |
| 2 | 2008 | 165 | |
| 3 | 2007 | 140 | |
| 4 | 2007 | 108 | |
| 5 | 2020 | 88 | |
| 6 | 2016 | 75 | |
| 7 | 2012 | 70 | |
| 8 | 2011 | 70 | |
| 9 | 2007 | 67 | |
| 10 | 2008 | 65 | |
| 11 | 2014 | 57 | |
| 12 | 2018 | 54 | |
| 13 | 2017 | 48 | |
| 14 | 2016 | 35 | |
| 15 | 2007 | 34 | |
| 16 | 2020 | 24 | |
| 17 | 2023 | 23 | |
| 18 | 2021 | 23 | |
| 19 | 2009 | 20 | |
| 20 | 2021 | 18 |
About I‐Chen Yu
I‐Chen Yu is a scholar working on Neurology, Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Hormonal and reproductive studies (5 papers), Nuclear Receptors and Signaling (3 papers), Acute Ischemic Stroke Management (3 papers), Adipose Tissue and Metabolism (3 papers), Regulation of Appetite and Obesity (3 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (208 citations), Biological Psychiatry (51 citations), Endocrinology, Diabetes and Metabolism (266 citations), Reproductive Medicine (97 citations) and Immunology (229 citations). I‐Chen Yu has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Chawnshang Chang, Hung‐Yun Lin, Jui‐Hung Yen, Shuyuan Yeh, Ping‐Chang Kuo, Janet D. Sparks, Barbara A. Scofield, Ning-Chun Liu, Lumin Chen and Hallel C. Paraiso. Their work appears in journals such as Diabetes, The Journal of Immunology, Journal of Neuroinflammation, Frontiers in Immunology and Brain Behavior and Immunity.
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.