Chen‐Chung Chu

967 citations
30 papers · 692 · h-index 18

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
  • Hematology top 10%
    • Blood groups and transfusion

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 2
    • Blood disorders and treatments 4
    • Diabetes and associated disorders 2

Chen‐Chung Chu

30 papers receiving 683 citations

Peers

Chen‐Chung Chu
Comparison fields: 5 of 64
  • Immunology 219
  • Hematology 100
  • Genetics 159
  • Infectious Diseases 75
  • Hepatology 29
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Marta Zelazko Argentina
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Therese Vallerskog United States
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Citations per field
00.5×10×13.3×
Alex So · 1×
Citations per year

Countries citing papers authored by Chen‐Chung Chu

Since Specialization
Citations

This map shows the geographic impact of Chen‐Chung Chu'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 Chen‐Chung Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Chung Chu more than expected).

Fields of papers citing papers by Chen‐Chung Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Chung Chu. 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 Chen‐Chung Chu. The network helps show where Chen‐Chung Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen‐Chung Chu, 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 Chen‐Chung Chu Line = papers co-authored together Chen‐Chung Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201574
2 200772
3 201158
4 200645
5 200632
6 200929
7 200823
8 201323
9 200823
10 201422
11 200120
12 201820
13 201420
14 200720
15 200120
16 200619
17 200918
18 199918
19
Influence of HLA-DRB1 genes and the shared epitope on genetic susceptibility to rheumatoid arthritis in Taiwanese.
200717
20 201517

About Chen‐Chung Chu

Chen‐Chung Chu is a scholar working on Immunology, Genetics, Surgery, Epidemiology and Molecular Biology, having authored 30 papers that have together received 692 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Kawasaki Disease and Coronary Complications (4 papers), Immunotherapy and Immune Responses (4 papers), Blood disorders and treatments (4 papers), Blood groups and transfusion (3 papers), Diabetes and associated disorders (2 papers), Hepatitis B Virus Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (219 citations), Hematology (100 citations), Genetics (159 citations), Infectious Diseases (75 citations) and Hepatology (29 citations). Chen‐Chung Chu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Marie Lin, Hsin‐Fu Liu, Yann‐Jinn Lee, Yuh‐Cheng Yang, Tzu‐Yang Chang, Chien-Ching Chang, Wei‐Shiung Yang, Cathy S.J. Fann, Pei‐Lung Chen and Tien‐Chun Chang. Their work appears in journals such as Transfusion, Human Immunology, Vox Sanguinis, Journal of Clinical Immunology and Nature Communications.

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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