Yu‐Hou Chen
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
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- interferon and immune responses
- Immune Response and Inflammation
Papers in
-
- Connexins and lens biology 4
- RNA and protein synthesis mechanisms 3
- Protein Interaction Studies and Fluorescence Analysis 3
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- NF-κB Signaling Pathways 2
- Co-authors
- Ming‐Daw Tsai (7 shared papers)Gu‐Gang Chang (5 shared papers)Chi‐Huey Wong (3 shared papers)Ying‐Ta Wu (3 shared papers)Yih‐Shyun E. Cheng (2 shared papers)Meng‐I Lin (2 shared papers)Pang‐Hung Hsu (3 shared papers)Lai‐Chen Tsai (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical Journal (2 papers)Biochemistry (2 papers)Experimental Eye Research (1 paper)Protein Expression and Purification (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yu‐Hou Chen
17 papers receiving 457 citations
Peers
Comparison fields: 5 of 70
- Endocrinology 31
- Immunology 119
- Epidemiology 157
- Molecular Medicine 23
- Molecular Biology 220
Countries citing papers authored by Yu‐Hou Chen
This map shows the geographic impact of Yu‐Hou 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 Yu‐Hou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hou Chen more than expected).
Fields of papers citing papers by Yu‐Hou Chen
This network shows the impact of papers produced by Yu‐Hou 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 Yu‐Hou Chen. The network helps show where Yu‐Hou Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Hou 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 96 | |
| 2 | 2011 | 73 | |
| 3 | 2011 | 61 | |
| 4 | 2000 | 47 | |
| 5 | 2012 | 37 | |
| 6 | 2007 | 37 | |
| 7 | 2017 | 30 | |
| 8 | 2015 | 26 | |
| 9 | 2019 | 12 | |
| 10 | 2001 | 10 | |
| 11 | 2005 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2004 | 6 | |
| 14 | 2003 | 4 | |
| 15 | 2006 | 3 | |
| 16 | 2009 | 2 | |
| 17 | The interaction of Glu294 at the subunit interface is important for the activity and stability of goose delta-crystallin. | 2009 | 2 |
About Yu‐Hou Chen
Yu‐Hou Chen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 17 papers that have together received 459 indexed citations. Recurring topics across this work include Connexins and lens biology (4 papers), interferon and immune responses (3 papers), Influenza Virus Research Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Alkaline Phosphatase Research Studies (3 papers), NF-κB Signaling Pathways (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Endocrinology (31 citations), Immunology (119 citations), Epidemiology (157 citations), Molecular Medicine (23 citations) and Molecular Biology (220 citations). Yu‐Hou Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ming‐Daw Tsai, Gu‐Gang Chang, Chi‐Huey Wong, Ying‐Ta Wu, Yih‐Shyun E. Cheng, Meng‐I Lin, Pang‐Hung Hsu, Lai‐Chen Tsai, Mei‐Whey Hung and Tsu‐Chung Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Journal, Biochemistry, Experimental Eye Research and Protein Expression and Purification.
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.