Ray Paxton
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Toxin Mechanisms and Immunotoxins
- Immune Response and Inflammation
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Immune Cell Function and Interaction 4
- T-cell and Retrovirus Studies 3
- Toxin Mechanisms and Immunotoxins 3
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 1
- Oncology 4
- Lung Cancer Research Studies 1
- Co-authors
- Subhashini Srinivasan (2 shared papers)Kenneth H. Grabstein (4 shared papers)William C. Fanslow (1 shared paper)Melanie K. Spriggs (1 shared paper)Richard J. Armitage (1 shared paper)Marylou G. Gibson (1 shared paper)S.S. Kerwar (1 shared paper)Robert Jeyaseelan (1 shared paper)
- Journals
- Biochemical Society Symposia (1 paper)Cytokine (1 paper)Cellular Immunology (1 paper)Journal of Biological Chemistry (1 paper)Seminars in Immunology (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Ray Paxton
8 papers receiving 496 citations
Peers
Comparison fields: 5 of 55
- Immunology 364
- Immunology and Allergy 42
- Oncology 139
- Virology 16
- Hematology 27
Countries citing papers authored by Ray Paxton
This map shows the geographic impact of Ray Paxton'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 Ray Paxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray Paxton more than expected).
Fields of papers citing papers by Ray Paxton
This network shows the impact of papers produced by Ray Paxton. 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 Ray Paxton. The network helps show where Ray Paxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Ray Paxton, 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 | 1995 | 177 | |
| 2 | 1994 | 144 | |
| 3 | 1997 | 94 | |
| 4 | 2003 | 62 | |
| 5 | 1975 | 16 | |
| 6 | 1994 | 7 | |
| 7 | 2007 | 5 | |
| 8 | 1998 | 3 |
About Ray Paxton
Ray Paxton is a scholar working on Immunology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 8 papers that have together received 508 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and Retrovirus Studies (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), T-cell and B-cell Immunology (2 papers), Cell Adhesion Molecules Research (1 paper), Lung Cancer Research Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (364 citations), Immunology and Allergy (42 citations), Oncology (139 citations), Virology (16 citations) and Hematology (27 citations). Ray Paxton has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Subhashini Srinivasan, Kenneth H. Grabstein, William C. Fanslow, Melanie K. Spriggs, Richard J. Armitage, Marylou G. Gibson, S.S. Kerwar, Robert Jeyaseelan, William E. Munger and Lawrence W. Torley. Their work appears in journals such as Biochemical Society Symposia, Cytokine, Cellular Immunology, Journal of Biological Chemistry and Seminars in Immunology.
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.