Premi Thomas

15 papers and 482 indexed citations i.

About

Premi Thomas is a scholar working on Epidemiology, Artificial Intelligence and Oncology. According to data from OpenAlex, Premi Thomas has authored 15 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Premi Thomas’s work include Cervical Cancer and HPV Research (4 papers), AI in cancer detection (3 papers) and Colorectal and Anal Carcinomas (2 papers). Premi Thomas is often cited by papers focused on Cervical Cancer and HPV Research (4 papers), AI in cancer detection (3 papers) and Colorectal and Anal Carcinomas (2 papers). Premi Thomas collaborates with scholars based in United States and France. Premi Thomas's co-authors include G S Pinkus, Jonathan W. Said, Hector Battifora, Ann E. Walts, Shikha Bose, Alberto M. Marchevsky, George L. Manderino, S Bose, Fred Rosenfelt and Gerhard Becker and has published in prestigious journals such as The Journal of Immunology, Molecular Pharmacology and Human Pathology.

In The Last Decade

Co-authorship network of co-authors of Premi Thomas i

Fields of papers citing papers by Premi Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Premi Thomas

Since Specialization
Citations

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