David Chiang

1.4k total citations · 1 hit paper
13 papers, 1.0k citations indexed

About

David Chiang is a scholar working on Immunology and Allergy, Physiology and Immunology. According to data from OpenAlex, David Chiang has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology and Allergy, 6 papers in Physiology and 5 papers in Immunology. Recurrent topics in David Chiang's work include Allergic Rhinitis and Sensitization (6 papers), Food Allergy and Anaphylaxis Research (5 papers) and Asthma and respiratory diseases (5 papers). David Chiang is often cited by papers focused on Allergic Rhinitis and Sensitization (6 papers), Food Allergy and Anaphylaxis Research (5 papers) and Asthma and respiratory diseases (5 papers). David Chiang collaborates with scholars based in United States. David Chiang's co-authors include M. Cecilia Berin, Kari C. Nadeau, Donald Y.M. Leung, Peter Dawson, Robert A. Wood, Stacie M. Jones, Hugh A. Sampson, Scott H. Sicherer, A. Wesley Burks and Wendy F. Davidson and has published in prestigious journals such as Science, Gastroenterology and Journal of Allergy and Clinical Immunology.

In The Last Decade

David Chiang

13 papers receiving 985 citations

Hit Papers

Identification of a T follicular helper cell subset that ... 2019 2026 2021 2023 2019 100 200 300

Peers

David Chiang
Comparison fields: 5 of 82
  • Immunology and Allergy 616
  • Physiology 367
  • Immunology 350
  • Dermatology 238
  • Surgery 130
Replace Hanne Jansen with:
Hanne Jansen Netherlands
Martin E. Dahl United States
Sabita Islam United Kingdom
Azza Abdel-Gadir United States
Sara K. Cooke United States
Morad Lahfa France
Shuyan Gu China
Diana Deleanu Romania
Rikiya Koketsu Japan
Андрис Рубинс Latvia
Hanne Jansen Netherlands View profile →
Citations per field, relative to David Chiang
David Chiang · 1×
Citations per year, relative to David Chiang
David Chiang · 1×

Countries citing papers authored by David Chiang

Since Specialization
Citations

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

Fields of papers citing papers by David Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of David Chiang. A scholar is included among the top collaborators of David Chiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Chiang. David Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 33
2
Identification of a T follicular helper cell subset that drives anaphylactic IgE breakdown →
317
3 87
4 9
5 234
6 59
7 12
8 2
9 112
10 14
11 72
12 38
13 15

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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