John W. Chamberlain

716 citations
33 papers · 532 · h-index 12

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Viral Infections and Vectors

Papers in

    • T-cell and B-cell Immunology 12
    • Immunotherapy and Immune Responses 10
    • Immune Cell Function and Interaction 9
    • RNA and protein synthesis mechanisms 2

John W. Chamberlain

33 papers receiving 498 citations

Peers

John W. Chamberlain
Comparison fields: 5 of 69
  • Immunology 209
  • Infectious Diseases 65
  • Public Health, Environmental and Occupational Health 93
  • Virology 15
  • Surgery 93
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J L Sullivan United States
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Citations per field
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Citations per year

Countries citing papers authored by John W. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by John W. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Chamberlain. 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 John W. Chamberlain. The network helps show where John W. Chamberlain may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200789
2 199279
3 199145
4 197442
5 200228
6 197226
7 199820
8 199218
9 200016
10 199114
11 200513
12 200511
13 198611
14 196311
15 20059
16 19609
17 20029
18 19999
19 19988
20 19858

About John W. Chamberlain

John W. Chamberlain is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Infectious Diseases, having authored 33 papers that have together received 532 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (9 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Xenotransplantation and immune response (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Immunology (209 citations), Infectious Diseases (65 citations), Public Health, Environmental and Occupational Health (93 citations), Virology (15 citations) and Surgery (93 citations). John W. Chamberlain has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jane R. Parnes, Rho Hyun Seong, Gordon F. Vawter, Sherman M. Weissman, Alan D. Perlmutter, Kevin R. Bewley, Subinay Ganguly, Roger Hewson, Bushra Jamil and Afia Zafar. Their work appears in journals such as The Journal of Immunology, Nucleic Acids Research, Journal of Pediatric Surgery, Molecular and Cellular Biology and New England Journal of Medicine.

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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