Jay S. Kaufman

439 papers and 20.6k indexed citations i.

About

Jay S. Kaufman is a scholar working on General Health Professions, Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jay S. Kaufman has authored 439 papers receiving a total of 20.6k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in General Health Professions, 98 papers in Health and 66 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jay S. Kaufman’s work include Health disparities and outcomes (84 papers), Advanced Causal Inference Techniques (43 papers) and Food Security and Health in Diverse Populations (43 papers). Jay S. Kaufman is often cited by papers focused on Health disparities and outcomes (84 papers), Advanced Causal Inference Techniques (43 papers) and Food Security and Health in Diverse Populations (43 papers). Jay S. Kaufman collaborates with scholars based in United States, Canada and United Kingdom. Jay S. Kaufman's co-authors include Richard Cooper, Lynne C. Messer, Barbara Laraia, Sam Harper, Daniel McGee, Gary S. Collins, Stephen S. Rich, Kathryn M. Rose, Mohammad Alì Mansournia and David A. Savitz 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 S. Kaufman i

Fields of papers citing papers by Jay S. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay S. Kaufman

Since Specialization
Citations

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