Ajit Kumar

463 citations
42 papers · 355 · h-index 11

Impact in

    • HIV Research and Treatment
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Pesticide and Herbicide Environmental Studies

Papers in

    • RNA and protein synthesis mechanisms 3
    • vaccines and immunoinformatics approaches 3
    • Tuberculosis Research and Epidemiology 5
    • HIV/AIDS drug development and treatment 4

Ajit Kumar

40 papers receiving 344 citations

Peers

Ajit Kumar
Comparison fields: 5 of 83
  • Virology 20
  • Pollution 47
  • Water Science and Technology 54
  • Infectious Diseases 36
  • Analytical Chemistry 20
Replace Huiguo Lai with:
Huiguo Lai United States
Muthusaravanan Sivaramakrishnan India
Abdullah S. Alawam Saudi Arabia
Taweewat Deemagarn Canada
Mohammad Anas India
Nehal A. Nouh Egypt
Amar N. Ghosh India
Sai Wu China
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Citations per field
00.5×9.3×
Huiguo Lai · 1×
Citations per year

Countries citing papers authored by Ajit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202281
2 201144
3 201335
4 201420
5 201716
6
Screening of Adhatoda vasica Nees as a Putative HIV-protease Inhibitor
201014
7 201714
8 201513
9 201512
10 201911
11 202310
12 20179
13 20247
14 20226
15 20216
16 20245
17
Molecular Tools for Diagnosis of Latent Haemoprotozoan Diseases of Livestock.
20084
18 20244
19 20164
20 20194

About Ajit Kumar

Ajit Kumar is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Pollution and Oncology, having authored 42 papers that have together received 355 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (5 papers), HIV/AIDS drug development and treatment (4 papers), Pesticide and Herbicide Environmental Studies (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), RNA and protein synthesis mechanisms (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Virology (20 citations), Pollution (47 citations), Water Science and Technology (54 citations), Infectious Diseases (36 citations) and Analytical Chemistry (20 citations). Ajit Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Chandi Patra, Selvaraju Narayanasamy, Inderpal Soni, P. J. John, Stéphane Paul, Juan C. Hernández, Silvio Urcuqui‐Inchima, Eicke Latz, Promod K. Mehta and Sunil Kumar Mukherjee. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, CNS & Neurological Disorders - Drug Targets, Biochemistry, Bioorganic Chemistry and Plant Physiology and Biochemistry.

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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