Chen‐Chung Chu

977 citations
30 papers · 730 · h-index 19

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • 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
    • Immunodeficiency and Autoimmune Disorders 2
    • Blood disorders and treatments 4
    • Diabetes and associated disorders 2

Chen‐Chung Chu

30 papers receiving 714 citations

Peers

Chen‐Chung Chu
Comparison fields: 5 of 65
  • Immunology 234
  • Hematology 107
  • Genetics 170
  • Infectious Diseases 81
  • Hepatology 30
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Alex So United Kingdom
H. Makni Tunisia
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Roger H. Halterman United States
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Citations per field
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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 201580
2 200774
3 201159
4 200651
5 200637
6 200931
7 201324
8 201823
9 200823
10 201423
11 200822
12 201422
13 200121
14 200720
15 200120
16 199920
17 200619
18 199919
19 200919
20
Influence of HLA-DRB1 genes and the shared epitope on genetic susceptibility to rheumatoid arthritis in Taiwanese.
200718

About Chen‐Chung Chu

Chen‐Chung Chu is a scholar working on Immunology, Genetics, Hematology, Epidemiology and Surgery, having authored 30 papers that have together received 730 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers), Kawasaki Disease and Coronary Complications (4 papers), Blood disorders and treatments (4 papers), Blood groups and transfusion (3 papers), Coronary Artery Anomalies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (234 citations), Hematology (107 citations), Genetics (170 citations), Infectious Diseases (81 citations) and Hepatology (30 citations). Chen‐Chung Chu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Marie Lin, Yann‐Jinn Lee, Hsin‐Fu Liu, Yuh‐Cheng Yang, Tzu‐Yang Chang, Pei‐Lung Chen, Chien-Ching Chang, Wei‐Shiung Yang, Cathy S.J. Fann and Tsung-Hsien Su. Their work appears in journals such as Transfusion, Human Immunology, Vox Sanguinis, Journal of Clinical Immunology and BMC Genomics.

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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