Prateek Prasanna

286 total papers · 6.1k total citations
111 papers, 3.8k citations indexed

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 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Pulmonary and Respiratory Medicine and 28 papers in Artificial Intelligence. Recurrent topics in Prateek Prasanna's work include Radiomics and Machine Learning in Medical Imaging (67 papers), AI in cancer detection (23 papers) and Glioma Diagnosis and Treatment (20 papers). Prateek Prasanna is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (67 papers), AI in cancer detection (23 papers) and Glioma Diagnosis and Treatment (20 papers). Prateek Prasanna collaborates with scholars based in United States, India and China. 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, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Prateek Prasanna

96 papers receiving 3.7k citations

Hit Papers

Intratumoral and peritumo... 2014 2026 2018 2022 2017 2014 2017 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prateek Prasanna 2.7k 1.0k 676 572 539 111 3.8k
Stephen Moore 2.3k 0.9× 1.1k 1.1× 1.1k 1.6× 739 1.3× 245 0.5× 81 4.5k
Jinzhong Yang 3.9k 1.4× 1.8k 1.8× 599 0.9× 1.5k 2.7× 177 0.3× 179 5.2k
Vinay Jain 1.3k 0.5× 496 0.5× 102 0.2× 192 0.3× 1.7k 3.1× 190 5.7k
Ulaş Bağcı 2.1k 0.8× 806 0.8× 923 1.4× 635 1.1× 29 0.1× 217 4.2k
Kyunghwa Han 3.9k 1.4× 1.7k 1.7× 1.1k 1.6× 924 1.6× 573 1.1× 328 7.9k
Ruijiang Li 3.1k 1.1× 1.7k 1.7× 712 1.1× 929 1.6× 176 0.3× 152 5.2k
Timothy L. Kline 1.7k 0.6× 515 0.5× 669 1.0× 603 1.1× 195 0.4× 102 3.4k
Anne L. Martel 2.0k 0.7× 741 0.7× 1.4k 2.0× 525 0.9× 64 0.1× 135 4.2k
Hemamali Samaratunga 631 0.2× 3.5k 3.4× 185 0.3× 256 0.4× 269 0.5× 214 6.1k
Panagiotis Korfiatis 1.7k 0.6× 431 0.4× 745 1.1× 490 0.9× 269 0.5× 67 3.0k

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).

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.

Co-authorship network of co-authors of Prateek Prasanna

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Prasanna. A scholar is included among the top collaborators of Prateek Prasanna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prateek Prasanna. Prateek Prasanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026