James E. McCormack

1.5k citations
27 papers · 1.4k · h-index 18

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Virology top 10%

Papers in

    • T-cell and B-cell Immunology 11
    • Virus-based gene therapy research 7

James E. McCormack

27 papers receiving 1.3k citations

Peers

James E. McCormack
Comparison fields: 5 of 65
  • Immunology 661
  • Virology 36
  • Genetics 214
  • Rheumatology 76
  • Molecular Biology 285
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Citations per field
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Citations per year

Countries citing papers authored by James E. McCormack

Since Specialization
Citations

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

Fields of papers citing papers by James E. McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993214
2 1995209
3 1998157
4 198490
5 198672
6 198969
7 199966
8 199365
9 200059
10 198752
11 199445
12 199340
13 199133
14
Changes in phosphorylation of myc oncogene and RB antioncogene protein products during growth arrest of the murine lymphoma WEHI 231 cell line.
199132
15 199727
16
Direct synovial gene transfer with retroviral vectors in rat adjuvant arthritis.
199826
17 199722
18 200120
19 200117
20 198616

About James E. McCormack

James E. McCormack is a scholar working on Immunology, Genetics, Pathology and Forensic Medicine, Molecular Biology and Pharmacology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Virus-based gene therapy research (7 papers), Genomics and Chromatin Dynamics (5 papers), Lymphoma Diagnosis and Treatment (4 papers), RNA Research and Splicing (2 papers), Inflammatory mediators and NSAID effects (1 paper), Cancer-related Molecular Pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (661 citations), Virology (36 citations), Genetics (214 citations), Rheumatology (76 citations) and Molecular Biology (285 citations). James E. McCormack has collaborated with scholars based in United States. Frequent co-authors include Philippa Marrack, John W. Kappler, Gail E. Sonenshein, J E Callahan, Anthony T. Vella, Peter S. Linsley, Roy A. Levine, Alan Buckler, Kay Townsend and Patrice Hugo. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Proceedings of the National Academy of Sciences, Human Gene Therapy and Molecular Therapy.

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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