Suzanne McCray
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Immune Response and Inflammation
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
- Immunodeficiency and Autoimmune Disorders 3
- Complement system in diseases 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Sandra Clarke (2 shared papers)Christopher A. Pennell (2 shared papers)Stephen H. Clarke (5 shared papers)L W Arnold (1 shared paper)Larry W. Arnold (2 shared papers)Stephen Clarke (2 shared papers)Călin Tatu (1 shared paper)Jian Ye (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)European Journal of Immunology (2 papers)The Journal of Experimental Medicine (1 paper)Annals of the New York Academy of Sciences (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United States
In The Last Decade
Suzanne McCray
10 papers receiving 361 citations
Peers
Comparison fields: 5 of 42
- Immunology 314
- Radiology, Nuclear Medicine and Imaging 90
- Immunology and Allergy 21
- Genetics 27
- Hematology 16
Countries citing papers authored by Suzanne McCray
This map shows the geographic impact of Suzanne McCray'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 Suzanne McCray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne McCray more than expected).
Fields of papers citing papers by Suzanne McCray
This network shows the impact of papers produced by Suzanne McCray. 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 Suzanne McCray. The network helps show where Suzanne McCray may publish in the future.
Co-authors
The 17 scholars most cited alongside Suzanne McCray, 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 | 1994 | 148 | |
| 2 | 1996 | 53 | |
| 3 | 2000 | 44 | |
| 4 | 1993 | 27 | |
| 5 | 2001 | 23 | |
| 6 | 2015 | 19 | |
| 7 | 1991 | 19 | |
| 8 | 2008 | 13 | |
| 9 | 1995 | 13 | |
| 10 | 1992 | 7 |
About Suzanne McCray
Suzanne McCray is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Genetics, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 366 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Complement system in diseases (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Pancreatic function and diabetes (1 paper) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Immunology (314 citations), Radiology, Nuclear Medicine and Imaging (90 citations), Immunology and Allergy (21 citations), Genetics (27 citations) and Hematology (16 citations). Suzanne McCray has collaborated with scholars based in United States. Frequent co-authors include Sandra Clarke, Christopher A. Pennell, Stephen H. Clarke, L W Arnold, Larry W. Arnold, Stephen Clarke, Călin Tatu, Jian Ye, Hongsheng Wang and Donna A. Culton. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, Annals of the New York Academy of Sciences and The EMBO Journal.
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.