Stephen Buxser

1.4k citations
36 papers · 1.3k · h-index 19

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 4
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 4
    • Immune Response and Inflammation 3

Stephen Buxser

36 papers receiving 1.2k citations

Peers

Stephen Buxser
Comparison fields: 5 of 104
  • Immunology 514
  • Developmental Neuroscience 74
  • Cellular and Molecular Neuroscience 309
  • Immunology and Allergy 41
  • Infectious Diseases 106
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Stephen Buxser

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Buxser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989309
2 1993118
3 1990116
4 198396
5 198563
6 199952
7 198350
8 198347
9 199644
10 198833
11 198131
12 202129
13 198227
14 199026
15 198125
16 199422
17 199620
18 200519
19 198919
20 199118

About Stephen Buxser

Stephen Buxser is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Immune Response and Inflammation (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Immunology (514 citations), Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (309 citations), Immunology and Allergy (41 citations) and Infectious Diseases (106 citations). Stephen Buxser has collaborated with scholars based in United States and Poland. Frequent co-authors include Charles A. Janeway, Steven M. Vroegop, Gary L. Johnson, Junji Yagi, Patricia J. Conrad, Barry Jones, Michael Katz, Ralph Bradshaw, Simona Raffioni and L. Watson. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, Analytical Biochemistry, Cellular Immunology and Chemistry and Physics of Lipids.

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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