Sarvesh Kumar

2.9k citations
77 papers · 2.2k · h-index 24

Impact in

    • Piperaceae Chemical and Biological Studies
    • Pharmacological Effects of Natural Compounds
  • Toxicology top 5%

Papers in

Sarvesh Kumar

74 papers receiving 2.1k citations

Peers

Sarvesh Kumar
Comparison fields: 5 of 132
  • Pharmacology 308
  • Toxicology 64
  • Cancer Research 211
  • Molecular Biology 868
  • Complementary and alternative medicine 86
Replace Judy Yuet‐Wa Chan with:
Judy Yuet‐Wa Chan Hong Kong
Zhen Yang China
Joseph Chang United States
Warren Davis United States
Satoshi Endo Japan
Yali Zhang China
Zhi-Wei Zhou China
Jian Zhang China
Dan Chen China
Yasuyuki Sadzuka Japan
Sarvesh Kumar relative to Judy Yuet‐Wa Chan Hong Kong Judy Yuet‐Wa Chan's profile →
Citations per field
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Judy Yuet‐Wa Chan · 1×
Citations per year

Countries citing papers authored by Sarvesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sarvesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013280
2 2008172
3 2011143
4 2007125
5 2007100
6 200597
7 201495
8 201392
9 200684
10 201578
11 200571
12 201364
13 200558
14 200957
15 201148
16 201344
17 200743
18 201538
19 200536
20 200736

About Sarvesh Kumar

Sarvesh Kumar is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology, Physical and Theoretical Chemistry, Spectroscopy and Pharmacology, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (17 papers), Photochemistry and Electron Transfer Studies (13 papers), Mass Spectrometry Techniques and Applications (10 papers), Atomic and Molecular Physics (9 papers), Piperaceae Chemical and Biological Studies (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Essential Oils and Antimicrobial Activity (6 papers) and Bioactive Compounds and Antitumor Agents (5 papers). The work is most often cited by research in Pharmacology (308 citations), Toxicology (64 citations), Cancer Research (211 citations), Molecular Biology (868 citations) and Complementary and alternative medicine (86 citations). Sarvesh Kumar has collaborated with scholars based in India, United States and Portugal. Frequent co-authors include Balaram Ghosh, Shyam Biswal, Virinder S. Parmar, Balaram Ghosh, Reema Roshan, Amit Sharma, Vandana Singhal, Ashok K. Prasad, Ulaganathan Mabalirajan and Amit Kumar Dinda. Their work appears in journals such as Journal of Quantitative Spectroscopy and Radiative Transfer, Molecules, The Journal of Physical Chemistry A, Bioorganic & Medicinal Chemistry and Scientific Reports.

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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