Kunal Nagpal

1.4k total citations · 1 hit paper
10 papers, 592 citations indexed

About

Kunal Nagpal is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kunal Nagpal has authored 10 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kunal Nagpal's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Lung Cancer Treatments and Mutations (2 papers). Kunal Nagpal is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Lung Cancer Treatments and Mutations (2 papers). Kunal Nagpal collaborates with scholars based in United States, Germany and Canada. Kunal Nagpal's co-authors include Greg S. Corrado, Yun Liu, Po-Hsuan Cameron Chen, Martin C. Stumpe, Craig H. Mermel, Robert MacDonald, Jason Hipp, Timo Kohlberger, Andrew Evans and Niels Olson and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and American Journal Of Pathology.

In The Last Decade

Kunal Nagpal

8 papers receiving 576 citations

Hit Papers

Development and validation of a deep learning algorithm f... 2019 2026 2021 2023 2019 100 200 300

Peers

Kunal Nagpal
Comparison fields: 5 of 106
  • Artificial Intelligence 345
  • Radiology, Nuclear Medicine and Imaging 258
  • Health Informatics 113
  • Computer Vision and Pattern Recognition 109
  • Pulmonary and Respiratory Medicine 108
Replace Arash Mohtashamian with:
Arash Mohtashamian United States
Lily H. Peng United States
Niels Olson United States
Norman Zerbe Germany
Chengkuan Chen United States
Nikolas Stathonikos Netherlands
Iringo Kovacs Netherlands
Benoît Schmauch France
Sharifa Sahai United States
Christoph Haarburger Germany
Arash Mohtashamian United States View profile →
Citations per field, relative to Kunal Nagpal
Kunal Nagpal · 1×
Citations per year, relative to Kunal Nagpal
Kunal Nagpal · 1×

Countries citing papers authored by Kunal Nagpal

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Nagpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Nagpal

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 1
5 3
6 5
7 90
8
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer breakdown →
302
9 186
10 1

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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2026