Carol Cowing

1.6k citations
19 papers · 1.2k · h-index 15

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

    • Immune Response and Inflammation 7
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Protein purification and stability 2

Carol Cowing

19 papers receiving 1.1k citations

Peers

Carol Cowing
Comparison fields: 5 of 80
  • Immunology 884
  • Radiology, Nuclear Medicine and Imaging 235
  • Genetics 278
  • Immunology and Allergy 50
  • Virology 20
Replace Mark D. Howell with:
Mark D. Howell United States
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Citations per field
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Citations per year

Countries citing papers authored by Carol Cowing

Since Specialization
Citations

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

Fields of papers citing papers by Carol Cowing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1988276
2
Macrophage Ia antigens. I. macrophage populations differ in their expression of Ia antigens.
1978208
3 1978118
4 197895
5 198371
6 198569
7 198064
8 198561
9 198160
10 197852
11
Strain differences in ease of tolerance induction to bovine gamma-globulin: dependence on macrophage function.
197535
12 198523
13 198922
14 199121
15 197520
16 199314
17 19929
18 19795
19 19775

About Carol Cowing

Carol Cowing is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Genetics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Xenotransplantation and immune response (2 papers), Protein purification and stability (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (884 citations), Radiology, Nuclear Medicine and Imaging (235 citations), Genetics (278 citations), Immunology and Allergy (50 citations) and Virology (20 citations). Carol Cowing has collaborated with scholars based in United States. Frequent co-authors include Howard B. Dickler, Benjamin D. Schwartz, Ralph L. Brinster, Georg Widera, Linda C. Burkly, Michael A. Frohman, R D Palmiter, David Lo, Richard A. Flavell and Donald C. Shreffler. Their work appears in journals such as The Journal of Immunology, Cellular Immunology, Cell, The EMBO Journal and Proceedings of the National Academy of Sciences.

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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