James E. McCormack
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Toxin Mechanisms and Immunotoxins 3
- Genetics top 10%
- Virus-based gene therapy research 8
- Animal Genetics and Reproduction 3
- Virology top 10%
-
- Glycosylation and Glycoproteins Research 3
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Philippa MarrackJohn W. KapplerJ E CallahanGail E. SonensheinP S LinsleyAnthony T. VellaRoy A. LevineAlan Buckler
- Cited by
- ImmunologyGeneticsVirology
- Journals
- Molecular and Cellular Biology (4 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
James E. McCormack
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Immunology 761
- Genetics 296
- Virology 37
- Molecular Biology 524
- Oncology 174
Countries citing papers authored by James E. McCormack
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 22 | |
| 2 | 2002 | 38 | |
| 3 | 2001 | 16 | |
| 4 | 2001 | 21 | |
| 5 | 2000 | 49 | |
| 6 | 1999 | 65 | |
| 7 | Direct synovial gene transfer with retroviral vectors in rat adjuvant arthritis. | 1998 | 25 |
| 8 | 1997 | 20 | |
| 9 | 1997 | 26 | |
| 10 | 1995 | 207 | |
| 11 | 1995 | 11 | |
| 12 | 1993 | 38 | |
| 13 | 1993 | 208 | |
| 14 | 1992 | 2 | |
| 15 | 1991 | 6 | |
| 16 | Changes in phosphorylation of myc oncogene and RB antioncogene protein products during growth arrest of the murine lymphoma WEHI 231 cell line. | 1991 | 29 |
| 17 | 1989 | 71 | |
| 18 | 1987 | 11 | |
| 19 | 1986 | 16 | |
| 20 | 1986 | 78 |
About James E. McCormack
James E. McCormack is a scholar working on Equine, Immunology and Genetics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Animal Genetics and Reproduction (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Immunology (761 citations), Genetics (296 citations) and Virology (37 citations). James E. McCormack has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Philippa Marrack, John W. Kappler, J E Callahan, Gail E. Sonenshein, P S Linsley, Anthony T. Vella, Roy A. Levine, Alan Buckler, J W Kappler and P Hugo. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Proceedings of the National Academy of Sciences, Molecular Therapy and Human Gene 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.