Jay P. Siegel

49 papers and 3.6k indexed citations i.

About

Jay P. Siegel is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Jay P. Siegel has authored 49 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 9 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Jay P. Siegel’s work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (7 papers) and Statistical Methods in Clinical Trials (7 papers). Jay P. Siegel is often cited by papers focused on Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (7 papers) and Statistical Methods in Clinical Trials (7 papers). Jay P. Siegel collaborates with scholars based in United States, Belgium and Thailand. Jay P. Siegel's co-authors include Raj K. Puri, Warren J. Leonard, M Sharon, Paula L. Smith, James D. Neaton, John T. Farrar, Kay Dickersin, Roderick J. A. Little, Scott S. Emerson and Weichung Joe Shih and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Jay P. Siegel i

Fields of papers citing papers by Jay P. Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Siegel. 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 Jay P. Siegel. The network helps show where Jay P. Siegel may publish in the future.

Countries citing papers authored by Jay P. Siegel

Since Specialization
Citations

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