Ajit Kumar

2.5k citations
98 papers · 2.1k · h-index 22

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Pollution top 5%
    • Microbial bioremediation and biosurfactants

Papers in

    • Enzyme Production and Characterization 16
    • Microbial bioremediation and biosurfactants 18

Ajit Kumar

91 papers receiving 1.9k citations

Peers

Ajit Kumar
Comparison fields: 5 of 109
  • Virology 159
  • Pollution 243
  • Molecular Biology 873
  • Biotechnology 95
  • Cell Biology 82
Replace Wenhui Zhang with:
Wenhui Zhang China
Liberato Marzullo Italy
Xiaoyu Zhao China
Elmostafa El Fahime Morocco
Junjie Zhang China
Vedbar S. Khadka United States
Xuemei Xu China
Qingmei Li China
Yu Li China
Iole Robuffo Italy
Ajit Kumar relative to Wenhui Zhang China Wenhui Zhang's profile →
Citations per field
00.5×2×4×6.9×
Wenhui Zhang · 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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002204
2 1996173
3 1997171
4 1981122
5 1975108
6 2002100
7 201473
8 199261
9 199260
10 198450
11 200050
12 200142
13 199641
14 198438
15 201837
16 199335
17 200235
18 201031
19 202331
20 201927

About Ajit Kumar

Ajit Kumar is a scholar working on Biotechnology, Pollution, Molecular Biology, Plant Science and Virology, having authored 98 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (18 papers), Enzyme Production and Characterization (16 papers), RNA and protein synthesis mechanisms (11 papers), Enzyme-mediated dye degradation (8 papers), HIV Research and Treatment (5 papers), Enzyme Catalysis and Immobilization (5 papers), Microbial Metabolites in Food Biotechnology (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Virology (159 citations), Pollution (243 citations), Molecular Biology (873 citations), Biotechnology (95 citations) and Cell Biology (82 citations). Ajit Kumar has collaborated with scholars based in South Africa, United States and India. Frequent co-authors include Raymond E. Lockard, Ademola Olufolahan Olaniran, Thoru Pederson, James L. Lessard, Ramamirtha Jayaraman, Hideaki Koike, Kaoru Saigo, Shuhei Zenno, Masaru Tanokura and Mduduzi Paul Mokoena. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Virology, Nucleic Acids Research, Nature 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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