John S. McDougal

1.0k citations
21 papers · 863 · h-index 11

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 7
    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 3

John S. McDougal

20 papers receiving 738 citations

Peers

John S. McDougal
Comparison fields: 5 of 96
  • Virology 343
  • Infectious Diseases 304
  • Immunology 189
  • Microbiology 54
  • Epidemiology 194
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Citations per year

Countries citing papers authored by John S. McDougal

Since Specialization
Citations

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

Fields of papers citing papers by John S. McDougal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985290
2 2008140
3 2008125
4 198570
5 198038
6 200437
7
Generation of T helper cells in vitro. V. Antigen-specific Ly1+ T cells mediate the helper effect and induce feedback suppression.
197928
8 197722
9 201022
10 197721
11 198114
12 200611
13
Human markers for IgG2 and IgG4 appear to be on the same molecule in the chimpanzee.
19918
14 19827
15 19847
16 19937
17
Tritiated proline in macrophages. In vivo and in vitro uptake by foreign-body granulomas.
19726
18 20034
19 20063
20 19842

About John S. McDougal

John S. McDougal is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 21 papers that have together received 863 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Glycosylation and Glycoproteins Research (5 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HIV/AIDS drug development and treatment (4 papers), Immunotherapy and Immune Responses (3 papers), HIV/AIDS Research and Interventions (3 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Virology (343 citations), Infectious Diseases (304 citations), Immunology (189 citations), Microbiology (54 citations) and Epidemiology (194 citations). John S. McDougal has collaborated with scholars based in United States, Uganda and Italy. Frequent co-authors include Linda S. Martin, Bharat Parekh, F W Shen, Thomas J. Spira, Janet K.A. Nicholson, John W. Hargrove, S P Cort, Judith Bard, Chou‐Pong Pau and Brian J. Ward. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Journal of Clinical Virology, Emerging infectious diseases and Journal of Clinical Immunology.

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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