Prashant Kumar

41 papers receiving 599 citations

Peers

Prashant Kumar
Comparison fields: 5 of 111
  • Virology 45
  • Molecular Medicine 40
  • Pharmaceutical Science 40
  • Infectious Diseases 109
  • Nutrition and Dietetics 55
Replace Jitendra Gupta with:
Jitendra Gupta India
Sanil D. Singh South Africa
Giovani Marino Fávero Brazil
J Koch United States
Rute Nunes Portugal
Diletta Scaccabarozzi Italy
Ankur Sharma India
Ferenc Tóth Hungary
Rohan Pai India
Punna Rao Ravi India
Prashant Kumar relative to Jitendra Gupta India Jitendra Gupta's profile →
Citations per field
00.5×4.6×
Jitendra Gupta · 1×
Citations per year

Countries citing papers authored by Prashant Kumar

Since Specialization
Citations

This map shows the geographic impact of Prashant Kumar'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 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 more than expected).

Fields of papers citing papers by Prashant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201693
2 201544
3 201642
4 201634
5
In vitro antifungal susceptibility of Candida.
199531
6 202328
7 201527
8 202327
9 202025
10 202024
11 201619
12 202019
13 202017
14 202016
15 201015
16 202413
17
Effect of different seed priming treatments and its duration on seedling characters of Bitter gourd (Momordica charantia L.)
201711
18 202110
19 201810
20 202110

About Prashant Kumar

Prashant Kumar is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Genetics and Epidemiology, having authored 43 papers that have together received 619 indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (5 papers), Tuberous Sclerosis Complex Research (5 papers), Extracellular vesicles in disease (4 papers), Advanced Drug Delivery Systems (4 papers), COVID-19 Impact on Reproduction (3 papers), Terahertz technology and applications (3 papers) and Plant Genetic and Mutation Studies (3 papers). The work is most often cited by research in Virology (45 citations), Molecular Medicine (40 citations), Pharmaceutical Science (40 citations), Infectious Diseases (109 citations) and Nutrition and Dietetics (55 citations). Prashant Kumar has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Anand K. Kondapi, Venkata S. Bollimpelli, Sonali Kumari, Kishore Golla, Santosh Kumar, Sunitha Kodidela, John J. Bissler, Sumel Ashique, Anup Ghosh and A. Chakrabarti. Their work appears in journals such as PLoS ONE, Biology, International Journal of Molecular Sciences, Scientific Reports and Current Drug Delivery.

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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