Prashant Nagpal

1.9k citations
92 papers · 950 · h-index 18

Impact in

Papers in

Prashant Nagpal

89 papers receiving 929 citations

Peers

Prashant Nagpal
Comparison fields: 5 of 78
  • Internal Medicine 45
  • Pulmonary and Respiratory Medicine 333
  • Radiology, Nuclear Medicine and Imaging 232
  • Critical Care and Intensive Care Medicine 38
  • Health Informatics 10
Replace Katharina Otani with:
Katharina Otani Japan
Ki Yeol Lee South Korea
Adele Valentini Italy
Michael A. Bolen United States
Daniel Kuetting Germany
Bushra S. Rana United Kingdom
Mustafa Koplay Türkiye
Giulia Elena Mandoli Italy
Koenraad Nieboer Belgium
Sun Ho Ahn United States
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Citations per field
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Citations per year

Countries citing papers authored by Prashant Nagpal

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Nagpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prashant Nagpal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Prashant Nagpal Line = papers co-authored together Prashant Nagpal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 202263
3 201945
4 201742
5 201739
6 201935
7 202034
8 201733
9 202129
10 201427
11 202024
12 201523
13 201923
14 201921
15 201620
16 201719
17 202118
18 201918
19 202017
20 202116

About Prashant Nagpal

Prashant Nagpal is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 92 papers that have together received 950 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (15 papers), Advanced X-ray and CT Imaging (11 papers), Radiation Dose and Imaging (10 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Advanced MRI Techniques and Applications (9 papers), Aortic Disease and Treatment Approaches (8 papers), Vascular Procedures and Complications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Internal Medicine (45 citations), Pulmonary and Respiratory Medicine (333 citations), Radiology, Nuclear Medicine and Imaging (232 citations), Critical Care and Intensive Care Medicine (38 citations) and Health Informatics (10 citations). Prashant Nagpal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ashish Khandelwal, Sarv Priya, Michael L. Steigner, Sachin S. Saboo, Girish Bathla, Eric A. Hoffman, Arun Sharma, Richard Thomas, Junfeng Guo and Mathews Jacob. Their work appears in journals such as Journal of cardiovascular computed tomography, Journal of the American College of Radiology, Academic Radiology, American Journal of Neuroradiology and Radiology Cardiothoracic Imaging.

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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