Wayne T. McCormack

4.4k citations
58 papers · 2.3k · h-index 27

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • melanin and skin pigmentation

Papers in

Wayne T. McCormack

57 papers receiving 2.2k citations

Peers

Wayne T. McCormack
Comparison fields: 5 of 142
  • Immunology 990
  • Cell Biology 278
  • Information Systems and Management 92
  • Radiology, Nuclear Medicine and Imaging 260
  • Immunology and Allergy 69
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Citations per field
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Citations per year

Countries citing papers authored by Wayne T. McCormack

Since Specialization
Citations

This map shows the geographic impact of Wayne T. McCormack'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 Wayne T. McCormack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne T. McCormack more than expected).

Fields of papers citing papers by Wayne T. McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne T. McCormack. 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 Wayne T. McCormack. The network helps show where Wayne T. McCormack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991228
2 1991198
3
Analysis of the Team-Based Learning Literature: TBL Comes of Age.
2014164
4 2002160
5 1989137
6
Crystal-cell interaction and apoptosis in oxalate-associated injury of renal epithelial cells.
1999128
7 1991118
8 1990107
9 2010104
10 198964
11 200156
12 199656
13 200356
14 199151
15 201450
16 201842
17 201242
18 199039
19 199339
20 199036

About Wayne T. McCormack

Wayne T. McCormack is a scholar working on Immunology, Information Systems and Management, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Immune Cell Function and Interaction (9 papers), Interdisciplinary Research and Collaboration (7 papers), Glycosylation and Glycoproteins Research (7 papers), Biomedical and Engineering Education (6 papers), Health and Medical Research Impacts (6 papers) and Problem and Project Based Learning (5 papers). The work is most often cited by research in Immunology (990 citations), Cell Biology (278 citations), Information Systems and Management (92 citations), Radiology, Nuclear Medicine and Imaging (260 citations) and Immunology and Allergy (69 citations). Wayne T. McCormack has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Craig B. Thompson, Larry W. Tjoelker, Louise M. Carlson, Paul Haidet, Karla A. Kubitz, Jin‐Xiong She, David G. Schatz, Marjorie A. Oettinger, Laurence A. Turka and Jerold Chun. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, International Immunology, Cell and Molecular and Cellular Biology.

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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