Ray Paxton

8 papers and 517 indexed citations i.

About

Ray Paxton is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Ray Paxton has authored 8 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Ray Paxton’s work include Immune Cell Function and Interaction (4 papers), T-cell and Retrovirus Studies (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Ray Paxton is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and Retrovirus Studies (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Ray Paxton collaborates with scholars based in United States, Israel and United Kingdom. Ray Paxton's co-authors include Subhashini Srinivasan, Kenneth H. Grabstein, Melanie K. Spriggs, Marylou G. Gibson, Richard J. Armitage, William C. Fanslow, Robert Jeyaseelan, S.S. Kerwar, Susan Quinn DeJoy and Lawrence W. Torley and has published in prestigious journals such as Journal of Biological Chemistry, Seminars in Immunology and Cytokine.

In The Last Decade

Co-authorship network of co-authors of Ray Paxton i

Fields of papers citing papers by Ray Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Ray Paxton

Since Specialization
Citations

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).

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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2025