David Chen

1.6k citations
4 papers · 105 · h-index 3

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • RNA regulation and disease 1
    • Single-cell and spatial transcriptomics 1
    • T-cell and B-cell Immunology 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Immunotherapy and Immune Responses 1
    • Immune Cell Function and Interaction 1

David Chen

3 papers receiving 103 citations

Peers

David Chen
Comparison fields: 5 of 34
  • Immunology 69
  • Neurology 6
  • Dermatology 6
  • Microbiology 4
  • Oncology 13
Replace Tianda Deng with:
Tianda Deng United States
Daniel Korenfeld United States
Maximilian Schmid Germany
Beate Kruse Germany
Peggy P. Teh Australia
Vasundhara Singh United States
Shihui Foo Singapore
Luc Roberts Canada
Leila Godfrey United Kingdom
Anna Bremser Germany
David Chen relative to Tianda Deng United States Tianda Deng's profile →
Citations per field
00.5×11×
Tianda Deng · 1×
Citations per year

Countries citing papers authored by David Chen

Since Specialization
Citations

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

Fields of papers citing papers by David Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

4 of 4 papers shown

About David Chen

David Chen is a scholar working on Molecular Biology, Immunology, Neurology, Neurology and Infectious Diseases, having authored 4 papers that have together received 105 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Immunotherapy and Immune Responses (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), RNA regulation and disease (1 paper), Immune Cell Function and Interaction (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Immunology (69 citations), Neurology (6 citations), Dermatology (6 citations), Microbiology (4 citations) and Oncology (13 citations). David Chen has collaborated with scholars based in United States. Frequent co-authors include Steven B. Wells, Peter A. Szabo, Peter A. Sims, Daniel P. Caron, Donna L. Färber, Nora Lam, Zicheng Wang, Yufeng Shen, Masaru Kubota and Maya M.L. Poon. Their work appears in journals such as Nature Immunology, Cell Reports Methods 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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