Vipul Kumar

60 papers receiving 1.1k citations

Peers

Vipul Kumar
Comparison fields: 5 of 107
  • Applied Microbiology and Biotechnology 53
  • Complementary and alternative medicine 169
  • Infectious Diseases 320
  • Molecular Medicine 69
  • Pharmacology 219
Replace William Gustavo Lima with:
William Gustavo Lima Brazil
Nilima Kshirsagar India
Saeed Khan Pakistan
Hisham A. Abbas Egypt
Mohitosh Biswas Bangladesh
Hisham N. Altayb Saudi Arabia
Guy W. Amsden United States
Michael S. Schwartz United States
Sandeep Sharma India
Fabiola Domínguez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Vipul Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vipul Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 2020120
3 200691
4 202184
5 202167
6 200861
7 200850
8 202140
9 202132
10 200422
11 200722
12 202220
13 201120
14 200820
15
HPLC determination of valproic acid in human serum.
200320
16 202119
17 202118
18 201118
19 201917
20 201116

About Vipul Kumar

Vipul Kumar is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Complementary and alternative medicine and Plant Science, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phytochemicals and Medicinal Plants (11 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Computational Drug Discovery Methods (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Wheat and Barley Genetics and Pathology (4 papers), PARP inhibition in cancer therapy (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (53 citations), Complementary and alternative medicine (169 citations), Infectious Diseases (320 citations), Molecular Medicine (69 citations) and Pharmacology (219 citations). Vipul Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Durai Sundar, Renu Wadhwa, Sunil C. Kaul, Jaspreet Kaur Dhanjal, Hartmut Derendorf, Seyed E. Hasnain, Jasdeep Singh, Olaf Burkhardt, Huayue Zhang and Tobias Welte. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioorganic & Medicinal Chemistry Letters, Cancers, Bioscience Reports and Current Topics in Medicinal Chemistry.

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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