Kunal Vyas

634 citations
35 papers · 317 · h-index 11

Impact in

Papers in

Kunal Vyas

34 papers receiving 311 citations

Peers

Kunal Vyas
Comparison fields: 5 of 62
  • Radiation 36
  • Radiology, Nuclear Medicine and Imaging 71
  • Biomedical Engineering 123
  • Structural Biology 4
  • Pulmonary and Respiratory Medicine 55
Replace Till Saxer with:
Till Saxer Switzerland
Misao Kubota Japan
Nadav Shapira United States
Takayuki Igarashi Japan
Stéphane Bedwani Canada
Michael Salamon Germany
M. Ladisa Italy
Maria Cristina Frassanito Italy
Hsin‐Hon Lin Taiwan
P. Rizo France
Kunal Vyas relative to Till Saxer Switzerland Till Saxer's profile →
Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Kunal Vyas

Since Specialization
Citations

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

Fields of papers citing papers by Kunal Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunal Vyas, 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 Kunal Vyas Line = papers co-authored together Kunal Vyas 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 202245
2 202038
3 202035
4
Colonic tuberculosis: colonoscopic appearance and clinico-pathologic analysis.
200020
5 201919
6 202217
7 202116
8 201015
9 202012
10 202311
11 201110
12 20159
13 20217
14 20106
15 20126
16 20126
17
Unilateral hydrothorax secondary to ascites demonstration by a noninvasive radionuclide imaging technique.
19815
18 20104
19 20214
20 20184

About Kunal Vyas

Kunal Vyas is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 35 papers that have together received 317 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Advanced Biosensing Techniques and Applications (5 papers), Magnetic properties of thin films (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Atomic and Subatomic Physics Research (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Radiation Detection and Scintillator Technologies (3 papers). The work is most often cited by research in Radiation (36 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Biomedical Engineering (123 citations), Structural Biology (4 citations) and Pulmonary and Respiratory Medicine (55 citations). Kunal Vyas has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Maarten Grootendorst, C. H. W. Barnes, David S. Tuch, Berlinda J. de Wit–van der Veen, Marcel P. M. Stokkel, Cornelis H. Slump, Justin J. Palfreyman, Justin Llandro, Henk G. van der Poel and Elise M. Bekers. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Magnetics, Scientific Reports, EJNMMI Physics and Nano Letters.

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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