John Paxton

9 papers and 495 indexed citations i.

About

John Paxton is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, John Paxton has authored 9 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in John Paxton’s work include Lipid Membrane Structure and Behavior (3 papers), Electron Spin Resonance Studies (2 papers) and Influenza Virus Research Studies (2 papers). John Paxton is often cited by papers focused on Lipid Membrane Structure and Behavior (3 papers), Electron Spin Resonance Studies (2 papers) and Influenza Virus Research Studies (2 papers). John Paxton collaborates with scholars based in United States, Austria and United Kingdom. John Paxton's co-authors include Gerald M. Rosen, Elmer J. Rauckman, Eli Finkelstein, John Lenard, Frank R. Landsberger, Richard W. Compans, Floyd S. Brauer, Roland C. Aloia, N. S. ISAACS and Mohamed B. Abou‐Donia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes and Molecular Pharmacology.

In The Last Decade

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

Fields of papers citing papers by John Paxton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John 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 John Paxton. The network helps show where John Paxton may publish in the future.

Countries citing papers authored by John Paxton

Since Specialization
Citations

This map shows the geographic impact of John 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 John Paxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John 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