Subha Perni

106 total papers · 986 total citations
34 papers, 393 citations indexed

About

Subha Perni is a scholar working on Radiology, Nuclear Medicine and Imaging, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Subha Perni has authored 34 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in General Health Professions and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Subha Perni's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Advances in Oncology and Radiotherapy (5 papers) and Glioma Diagnosis and Treatment (5 papers). Subha Perni is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Advances in Oncology and Radiotherapy (5 papers) and Glioma Diagnosis and Treatment (5 papers). Subha Perni collaborates with scholars based in United States, Egypt and Canada. Subha Perni's co-authors include Reshma Jagsi, David P. Horowitz, Michael K. Rooney, Daniel W. Golden, Anne R. McCall, Andrew J. Einstein, Beverly Moy, Ryan David Nipp, Danielle S. Bitterman and Matthew R. Baldwin and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Subha Perni

30 papers receiving 386 citations

Hit Papers

Readability of Patient Ed... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Subha Perni 185 82 70 63 63 34 393
Fallon Chipidza 106 0.6× 61 0.7× 36 0.5× 22 0.3× 35 0.6× 21 354
Bryan D. Steitz 151 0.8× 78 1.0× 51 0.7× 44 0.7× 36 0.6× 33 334
Matthew Prime 115 0.6× 97 1.2× 28 0.4× 25 0.4× 32 0.5× 36 432
Esli Osmanlliu 75 0.4× 47 0.6× 64 0.9× 48 0.8× 28 0.4× 33 385
Mike Paget 75 0.4× 153 1.9× 86 1.2× 81 1.3× 59 0.9× 24 438
Jayson S. Marwaha 85 0.5× 89 1.1× 69 1.0× 35 0.6× 41 0.7× 32 419
Liz Salmi 251 1.4× 153 1.9× 23 0.3× 16 0.3× 24 0.4× 32 441
Liesbet Van Bulck 95 0.5× 33 0.4× 158 2.3× 99 1.6× 67 1.1× 33 431
Martin Holderried 131 0.7× 91 1.1× 67 1.0× 20 0.3× 27 0.4× 40 412
Jason A. Freed 81 0.4× 74 0.9× 50 0.7× 29 0.5× 32 0.5× 38 429

Countries citing papers authored by Subha Perni

Since Specialization
Citations

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

Fields of papers citing papers by Subha Perni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subha Perni

This figure shows the co-authorship network connecting the top 25 collaborators of Subha Perni. A scholar is included among the top collaborators of Subha Perni 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 Subha Perni. Subha Perni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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