Prateek Prasanna

92 papers and 3.3k indexed citations i.

About

Prateek Prasanna is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Prateek Prasanna has authored 92 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 20 papers in Artificial Intelligence. Recurrent topics in Prateek Prasanna’s work include Radiomics and Machine Learning in Medical Imaging (62 papers), Glioma Diagnosis and Treatment (20 papers) and AI in cancer detection (16 papers). Prateek Prasanna is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (62 papers), Glioma Diagnosis and Treatment (20 papers) and AI in cancer detection (16 papers). Prateek Prasanna collaborates with scholars based in United States, India and Switzerland. Prateek Prasanna's co-authors include Anant Madabhushi, Pallavi Tiwari, Niha Beig, Vamsidhar Velcheti, Nathaniel Braman, Rajat Thawani, Kaustav Bera, Maryam Etesami, Donna Plecha and Hannah Gilmore and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Prateek Prasanna i

Fields of papers citing papers by Prateek Prasanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prateek Prasanna

Since Specialization
Citations

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