David Chaplin

17.0k citations
178 papers · 12.8k indexed · 3 hit papers · h-index 56

David Chaplin

170 papers receiving 12.4k citations

Hit Papers

Overview of the immune response1.4k19992026200820174008001.2k

Peers

David Chaplin
Comparison fields: 5 of 171
  • Immunology 7.3k
  • Immunology and Allergy 740
  • Neurology 464
  • Hematology 593
  • Molecular Biology 3.6k
Replace Patrick W. Gray with:
Patrick W. Gray United States
Thomas A. Hamilton United States
Irmgard Förster Germany
Richard Horuk United States
Norma P. Gerard United States
Angela Santoni Italy
Gregory P. Downey Canada
James W. Larrick United States
Nancy H. Ruddle United States
J. Fernando Bazán United States
David Chaplin relative to Patrick W. Gray United States Patrick W. Gray's profile →
Citations per field
00.5×3.1×
Patrick W. Gray · 1×
Citations per year

Countries citing papers authored by David Chaplin

Since Specialization
Citations

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

Fields of papers citing papers by David Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201421
2 20130
3 201232
4 201212
5 200935
6 20079
7 200672
8 200596
9 2003216
10 200126
11 200135
12 200052
13
B lymphocytes deliver lymphotoxin-dependent signals for the development of follicular dendritic cell clusters
19981
14 1996206
15 19952
16 1991149
17 198846
18 198797
19 19876
20
Molecular linkage of the genes encoding adrenal steroid 21-hydroxylase to the S region of the murine major histocompatibility complex (MHC)
19852

About David Chaplin

David Chaplin is a scholar working on Immunology, Immunology and Allergy and Microbiology, having authored 178 papers that have together received 12.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (31 papers), Immune Cell Function and Interaction (29 papers), Immune Response and Inflammation (29 papers), Immunotherapy and Immune Responses (25 papers), Asthma and respiratory diseases (19 papers), IL-33, ST2, and ILC Pathways (14 papers), Monoclonal and Polyclonal Antibodies Research (14 papers) and Complement system in diseases (10 papers). The work is most often cited by research in Immunology (7.3k citations), Immunology and Allergy (740 citations) and Neurology (464 citations). David Chaplin has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Yang‐Xin Fu, Emil R. Unanue, Guangming Huang, Mitsuru Matsumoto, Kristin A. Hogquist, Cynthia J. L. Carruthers, David A. Randolph, Sanjeev Mariathasan, Hector Molina and Markus Nett. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Allergy and Clinical Immunology, The Journal of Experimental Medicine and Journal of Biological Chemistry.

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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