Jay Desai

1.1k citations
35 papers · 800 · h-index 16

Impact in

Papers in

Jay Desai

33 papers receiving 771 citations

Peers

Jay Desai
Comparison fields: 5 of 117
  • Internal Medicine 146
  • Cardiology and Cardiovascular Medicine 246
  • Gastroenterology 51
  • Control and Systems Engineering 161
  • Biomedical Engineering 191
Replace Kozo Konishi with:
Kozo Konishi Japan
Conor D. Barrett United States
Yasushi Terada Japan
Koichi Nagashima Japan
Moussa Mansour United States
Kazuo Tanoue Japan
Lucio Torelli Italy
Massimiliano Tuveri Italy
Vincenzo Santinelli Italy
Srinivas R. Dukkipati United States
Jay Desai relative to Kozo Konishi Japan Kozo Konishi's profile →
Citations per field
00.5×7.7×
Kozo Konishi · 1×
Citations per year

Countries citing papers authored by Jay Desai

Since Specialization
Citations

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

Fields of papers citing papers by Jay Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013145
2 200597
3 201377
4 199865
5 200657
6 202146
7 201641
8 200539
9 200334
10 200323
11 200622
12 200221
13 200619
14 200417
15 202316
16 201815
17 201511
18 200411
19 20198
20 20057

About Jay Desai

Jay Desai is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Control and Systems Engineering and Mechanical Engineering, having authored 35 papers that have together received 800 indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Teleoperation and Haptic Systems (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Protein purification and stability (4 papers), Surgical Simulation and Training (4 papers), Robotic Mechanisms and Dynamics (3 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Internal Medicine (146 citations), Cardiology and Cardiovascular Medicine (246 citations), Gastroenterology (51 citations), Control and Systems Engineering (161 citations) and Biomedical Engineering (191 citations). Jay Desai has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Christopher Kennedy, James Aisenberg, Jeffrey I. Weitz, Jennifer M. Kolb, Tie Hu, Ari D. Brooks, Christopher B. Granger, A.C.W. Lau, Lawrence S. Brown and Peter Zannikos. Their work appears in journals such as Organic Process Research & Development, Digestive Diseases and Sciences, Biotechnology and Bioengineering, Physical review. D and Gastrointestinal Endoscopy.

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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