Prasoon P. Mohan

32 papers receiving 455 citations

Prasoon P. Mohan's Hit Papers

Dual Cross-Attention for medical image segmentation 2023 · 105 citations
1050+1+2Years since publication255075100

Peers

Prasoon P. Mohan
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 44
  • Internal Medicine 13
  • Reproductive Medicine 28
  • Pulmonary and Respiratory Medicine 103
  • Hepatology 23
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Citations per year

Countries citing papers authored by Prasoon P. Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Prasoon P. Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasoon P. Mohan. 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 Prasoon P. Mohan. The network helps show where Prasoon P. Mohan may publish in the future.

Co-authors

The 25 scholars most cited alongside Prasoon P. Mohan, 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 Prasoon P. Mohan Line = papers co-authored together Prasoon P. Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dual Cross-Attention for medical image segmentation
Hit paper breakdown →
2023105
2 201363
3 201344
4 201035
5 200826
6 201821
7 202120
8 201215
9 200614
10 201612
11 201512
12 201811
13 202011
14 201810
15 20209
16 20168
17 20078
18 20196
19 20206
20 20186

About Prasoon P. Mohan

Prasoon P. Mohan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Hepatology and Neurology, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Vascular Procedures and Complications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Aortic aneurysm repair treatments (3 papers), Gastrointestinal disorders and treatments (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Maternal and fetal healthcare (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (44 citations), Internal Medicine (13 citations), Reproductive Medicine (28 citations), Pulmonary and Respiratory Medicine (103 citations) and Hepatology (23 citations). Prasoon P. Mohan has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Emrah Çelik, Robert L. Vogelzang, Philip Cherian, Govindarajan Narayanan, Shree Venkat, Roberto I. Vázquez-Padrón, Ripal Gandhi, Shivank Bhatia, Abdel Douiri and Brinder S. Mahon. Their work appears in journals such as Journal of Vascular and Interventional Radiology, CardioVascular and Interventional Radiology, Annals of Vascular Surgery, Emergency Medicine Journal and Engineering Applications of Artificial Intelligence.

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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