Prashant Kumar

36 papers receiving 449 citations

Peers

Prashant Kumar
Comparison fields: 5 of 93
  • Biochemistry 50
  • Endocrinology, Diabetes and Metabolism 103
  • Analytical Chemistry 59
  • Food Science 99
  • Pharmacology 46
Replace Sudipta Das with:
Sudipta Das India
Kapil Kumar India
Preeti Dhar United States
Chenling Qu China
M Karthikeyan India
Bishnu Prasad Pandey Nepal
Zhihang Zhang United States
Jing Neng China
Thomas S. Villani United States
Hui Dai China
Prashant Kumar relative to Sudipta Das India Sudipta Das's profile →
Citations per field
00.5×4.2×
Sudipta Das · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200956
2 201448
3 200846
4 201041
5 201229
6 200929
7 201324
8 200921
9 200920
10 200920
11 201916
12 202213
13 201812
14 201912
15 201011
16
Effect of Trichosanthes dioica on oxidative stress and CYP450 gene expression levels in experimentally induced diabetic rats.
201111
17 201910
18 20239
19 20208
20 20237

About Prashant Kumar

Prashant Kumar is a scholar working on Mechanics of Materials, Analytical Chemistry, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Materials Chemistry, having authored 40 papers that have together received 496 indexed citations. Recurring topics across this work include Laser-induced spectroscopy and plasma (13 papers), Natural Antidiabetic Agents Studies (6 papers), Analytical chemistry methods development (6 papers), Laser-Ablation Synthesis of Nanoparticles (5 papers), Diamond and Carbon-based Materials Research (3 papers), Atomic and Molecular Physics (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Mercury impact and mitigation studies (2 papers). The work is most often cited by research in Biochemistry (50 citations), Endocrinology, Diabetes and Metabolism (103 citations), Analytical Chemistry (59 citations), Food Science (99 citations) and Pharmacology (46 citations). Prashant Kumar has collaborated with scholars based in India, South Africa and United States. Frequent co-authors include Geeta Watal, Rakesh Kumar Singh, Shikha Mehta, Dolly Jaiswal, Bechan Sharma, Rajesh Kumar Gupta, K. P. Subramanian, Sanjukta Chatterji, Venkata K. Perla and Sarit K. Ghosh. Their work appears in journals such as Pharmaceutical Biology, Journal of Laser Applications, Applied Optics, Spectrochimica Acta Part B Atomic Spectroscopy and Journal of Physics B Atomic Molecular and Optical Physics.

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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