William M. Pryor

5 papers and 212 indexed citations i.

About

William M. Pryor is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, William M. Pryor has authored 5 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in William M. Pryor’s work include Multiple Sclerosis Research Studies (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). William M. Pryor is often cited by papers focused on Multiple Sclerosis Research Studies (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Mitochondrial Function and Pathology (2 papers). William M. Pryor collaborates with scholars based in United States. William M. Pryor's co-authors include Lesley J. White, Rebecca Larson, Srinivasa Subramaniam, Neelam Shahani, Supriya Swarnkar, Damon T. Page, Daniel J. Larson, Kevin K. McCully, Wen‐Chin Huang and Marta Biagioli and has published in prestigious journals such as Neurobiology of Disease, Science Signaling and Journal of Neuroscience Research.

In The Last Decade

Co-authorship network of co-authors of William M. Pryor i

Fields of papers citing papers by William M. Pryor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M. Pryor. 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 William M. Pryor. The network helps show where William M. Pryor may publish in the future.

Countries citing papers authored by William M. Pryor

Since Specialization
Citations

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