Gene Gulati

38 papers and 469 indexed citations i.

About

Gene Gulati is a scholar working on Physiology, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Gene Gulati has authored 38 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Genetics. Recurrent topics in Gene Gulati’s work include Clinical Laboratory Practices and Quality Control (18 papers), Digital Imaging for Blood Diseases (11 papers) and Hematological disorders and diagnostics (6 papers). Gene Gulati is often cited by papers focused on Clinical Laboratory Practices and Quality Control (18 papers), Digital Imaging for Blood Diseases (11 papers) and Hematological disorders and diagnostics (6 papers). Gene Gulati collaborates with scholars based in United States. Gene Gulati's co-authors include Bong Hak Hyun, Jerald Z. Gong, John K. Ashton, Alina Florea, Jinming Song, Roland Schwarting, Adam D. Toll, Monica E. de Baca, Melissa R. George and J. Siegel and has published in prestigious journals such as Annals of Internal Medicine, American Journal of Clinical Pathology and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Co-authorship network of co-authors of Gene Gulati i

Fields of papers citing papers by Gene Gulati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gene Gulati

Since Specialization
Citations

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