David H. Chu
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Mast cells and histamine
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Dermatology and Skin Diseases 5
- Cancer and Skin Lesions 3
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 3
- Co-authors
- Arthur Weiss (4 shared papers)Craig T. Morita (1 shared paper)Mark J. Levis (1 shared paper)Henry R. Bourne (1 shared paper)Philip Wedegaertner (1 shared paper)Paul T. Wilson (1 shared paper)Nicolai S. C. van Oers (2 shared papers)Jean‐François Peyron (1 shared paper)
- Journals
- Pediatric Dermatology (2 papers)The Journal of Immunology (2 papers)Journal of Glaucoma (2 papers)British Journal of Dermatology (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
David H. Chu
26 papers receiving 976 citations
Peers
Comparison fields: 5 of 84
- Immunology 372
- Immunology and Allergy 68
- Ophthalmology 71
- Genetics 70
- Molecular Biology 475
Countries citing papers authored by David H. Chu
This map shows the geographic impact of David H. 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 David H. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Chu more than expected).
Fields of papers citing papers by David H. Chu
This network shows the impact of papers produced by David H. 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 David H. Chu. The network helps show where David H. Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside David H. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 265 | |
| 2 | 1998 | 210 | |
| 3 | 1996 | 114 | |
| 4 | 1998 | 108 | |
| 5 | 2006 | 68 | |
| 6 | 2009 | 65 | |
| 7 | 1999 | 52 | |
| 8 | 2018 | 29 | |
| 9 | 2006 | 13 | |
| 10 | 1999 | 11 | |
| 11 | 2003 | 9 | |
| 12 | 2006 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2003 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2004 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2003 | 5 | |
| 20 | 2025 | 4 |
About David H. Chu
David H. Chu is a scholar working on Dermatology, Immunology, Molecular Biology, Epidemiology and Physiology, having authored 29 papers that have together received 999 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Dermatology and Skin Diseases (5 papers), Nail Diseases and Treatments (5 papers), Glaucoma and retinal disorders (3 papers), Immune Cell Function and Interaction (3 papers), Asthma and respiratory diseases (3 papers), Cancer and Skin Lesions (3 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Immunology (372 citations), Immunology and Allergy (68 citations), Ophthalmology (71 citations), Genetics (70 citations) and Molecular Biology (475 citations). David H. Chu has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Arthur Weiss, Craig T. Morita, Mark J. Levis, Henry R. Bourne, Philip Wedegaertner, Paul T. Wilson, Nicolai S. C. van Oers, Jean‐François Peyron, Hergen Spits and R. Rowley. Their work appears in journals such as Pediatric Dermatology, The Journal of Immunology, Journal of Glaucoma, British Journal of Dermatology and Experimental Hematology.
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.