Richard M. Zur

18 papers and 383 indexed citations i.

About

Richard M. Zur is a scholar working on Artificial Intelligence, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Richard M. Zur has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Epidemiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Richard M. Zur’s work include Lymphoma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Richard M. Zur is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Richard M. Zur collaborates with scholars based in United States, Canada and France. Richard M. Zur's co-authors include Yulei Jiang, Lorenzo L. Pesce, Samuel Aballéa, Khaled Maman, Zalmaï Hakimi, Jameel Nazir, Con Kelleher, Christopher R. Chapple, Emad Siddiqui and Wendy J. Ungar and has published in prestigious journals such as Blood, Frontiers in Immunology and European Urology.

In The Last Decade

Co-authorship network of co-authors of Richard M. Zur i

Fields of papers citing papers by Richard M. Zur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Richard M. Zur

Since Specialization
Citations

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