Yu‐Hou Chen

536 citations
17 papers · 451 · h-index 10

Impact in

    • Vibrio bacteria research studies
    • 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

Yu‐Hou Chen

17 papers receiving 449 citations

Peers

Yu‐Hou Chen
Comparison fields: 5 of 70
  • Endocrinology 31
  • Immunology 118
  • Molecular Medicine 26
  • Epidemiology 158
  • Molecular Biology 232
Replace Maria Carmela Di Marcantonio with:
Maria Carmela Di Marcantonio Italy
Mounia Alaoui-El-Azher United States
Ivan S. Coulter Ireland
Aparna Vasudevan China
M. Kawamura Japan
Tapas Patra United States
Zhuo Cao China
Mark J. Sartain United States
Ankit Pandeya United States
Francesco Petrillo Italy
Yu‐Hou Chen relative to Maria Carmela Di Marcantonio Italy Maria Carmela Di Marcantonio's profile →
Citations per field
00.5×2.6×
Maria Carmela Di Marcantonio · 1×
Citations per year

Countries citing papers authored by Yu‐Hou Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yu‐Hou Chen Line = papers co-authored together Yu‐Hou Chen links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201094
2 201172
3 201158
4 200047
5 200737
6 201237
7 201729
8 201526
9 201911
10 200110
11 20057
12 20046
13 20176
14 20034
15 20063
16 20092
17
The interaction of Glu294 at the subunit interface is important for the activity and stability of goose delta-crystallin.
20092

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 451 indexed citations. Recurring topics across this work include Connexins and lens biology (4 papers), Influenza Virus Research Studies (3 papers), interferon and immune responses (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Alkaline Phosphatase Research Studies (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Endocrinology (31 citations), Immunology (118 citations), Molecular Medicine (26 citations), Epidemiology (158 citations) and Molecular Biology (232 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, Lai‐Chen Tsai, Mei‐Whey Hung, Pang‐Hung Hsu and Ting-Jen Rachel Cheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical Journal, Biochemistry, Experimental Eye Research and European Journal of Biochemistry.

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.

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