Stephen M. Shaw

1.9k citations
39 papers · 1.0k · h-index 17

Impact in

Papers in

    • Ion Transport and Channel Regulation 4
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • T-cell and B-cell Immunology 4

Stephen M. Shaw

39 papers receiving 967 citations

Peers

Stephen M. Shaw
Comparison fields: 5 of 112
  • Virology 124
  • Microbiology 128
  • Hepatology 94
  • Immunology 254
  • Infectious Diseases 154
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Citations per year

Countries citing papers authored by Stephen M. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Shaw. 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 Stephen M. Shaw. The network helps show where Stephen M. Shaw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 198097
3 201191
4 200681
5 200980
6 198069
7 197667
8 198945
9 198143
10 201235
11 200334
12 200632
13
"Second Generation" MNCs in China
199324
14 200020
15 198719
16
Human cytotoxic T cell responses to trinitrophenyl hapten and influenza virus. Diversity of restriction antigens and specificity of HLA-linked genetic regulation.
198019
17 198318
18 198916
19 201912
20 200212

About Stephen M. Shaw

Stephen M. Shaw is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (5 papers), Ion Transport and Channel Regulation (4 papers), T-cell and B-cell Immunology (4 papers), Influenza Virus Research Studies (4 papers), Electrolyte and hormonal disorders (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Virology (124 citations), Microbiology (128 citations), Hepatology (94 citations), Immunology (254 citations) and Infectious Diseases (154 citations). Stephen M. Shaw has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include William E. Biddison, G M Shearer, David H. Smith, Yuedan Li, Peter M.T. Deen, Mike Westby, Chris Pickford, Arnold L. Smith, Patrick Anderson and Alain Vandewalle. Their work appears in journals such as Organic Process Research & Development, The Journal of Immunology, American Journal of Physiology-Renal Physiology, Journal of Clinical Investigation and Journal of the International AIDS Society.

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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