Prashant Kumar Verma

41 papers receiving 348 citations

Peers

Prashant Kumar Verma
Comparison fields: 5 of 92
  • Developmental Biology 13
  • Hepatology 27
  • Neurology 38
  • Radiology, Nuclear Medicine and Imaging 50
  • Critical Care and Intensive Care Medicine 10
Replace Maciej Guziński with:
Maciej Guziński Poland
Marcin Jankowski Poland
Dinesh Kumar Sahu India
D. Spitzer Austria
Sarah Keller Germany
Anush Sridharan United States
Stephanie Klinzing Switzerland
Etsuko Tate Japan
Kinga Karlinger Hungary
Sneh Lata India
Prashant Kumar Verma relative to Maciej Guziński Poland Maciej Guziński's profile →
Citations per field
00.5×6.5×
Maciej Guziński · 1×
Citations per year

Countries citing papers authored by Prashant Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Prashant Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200946
2 201231
3 201825
4 200024
5 200519
6 201818
7 201517
8 201516
9 201213
10 201712
11 201811
12 201111
13 202211
14 201810
15
A Short Study Report on Bone Marrow Aspirate Concentrate Cell Therapy in Ten South Asian Indian Patients with Autism.
201710
16 20126
17 20175
18 20205
19 20205
20 20225

About Prashant Kumar Verma

Prashant Kumar Verma is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Epidemiology, Biomedical Engineering and Surgery, having authored 48 papers that have together received 357 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (5 papers), Ultrasound Imaging and Elastography (5 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Advanced MRI Techniques and Applications (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Developmental Biology (13 citations), Hepatology (27 citations), Neurology (38 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Critical Care and Intensive Care Medicine (10 citations). Prashant Kumar Verma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Shubha R. Phadke, Ashwin Dalal, Francis Duck, Noor Ahmad Shaik, Prajnya Ranganath, Victor F. Humphrey, Babajan Banaganapalli, David Capener, Pankaj Kumar Singh and Iain D. Wilkinson. Their work appears in journals such as Ultrasound in Medicine & Biology, Antiviral Therapy, European Journal of Medical Genetics, The Journal of the Acoustical Society of America and Pediatric Neurology.

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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