Ajit Kumar

2.4k citations
92 papers · 1.9k · h-index 23

Impact in

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

Papers in

    • RNA Research and Splicing 14
    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 9
    • Microbial bioremediation and biosurfactants 17

Ajit Kumar

88 papers receiving 1.8k citations

Peers

Ajit Kumar
Comparison fields: 5 of 124
  • Virology 168
  • Pollution 228
  • Molecular Biology 1.1k
  • Biotechnology 95
  • Immunology 171
Replace Emilio Camafeita with:
Emilio Camafeita Spain
Dairena Gaffney United Kingdom
Junjie Zhang China
John Guardiola Italy
Xuemei Xu China
Robert A. Moran United States
J.‐H. Saurat Switzerland
Emile Schiltz Germany
Hitendra S. Chand United States
Daniel Lamarre Canada
Ajit Kumar relative to Emilio Camafeita Spain Emilio Camafeita's profile →
Citations per field
00.5×3.9×
Emilio Camafeita · 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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002179
2 1996170
3 1997165
4 1981120
5 1975110
6 200292
7 201470
8 199261
9 199259
10 200050
11 200144
12 198444
13 199639
14 198435
15 200234
16 199334
17 201031
18 201830
19 202328
20 198224

About Ajit Kumar

Ajit Kumar is a scholar working on Molecular Biology, Pollution, Plant Science, Biotechnology and Biomedical Engineering, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (17 papers), RNA Research and Splicing (14 papers), Enzyme Production and Characterization (11 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (9 papers), Biofuel production and bioconversion (7 papers), HIV Research and Treatment (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (168 citations), Pollution (228 citations), Molecular Biology (1.1k citations), Biotechnology (95 citations) and Immunology (171 citations). Ajit Kumar has collaborated with scholars based in South Africa, United States and India. Frequent co-authors include Raymond E. Lockard, Ademola O. Olaniran, Thoru Pederson, Shuhei Zenno, Masaru Tanokura, Hiroki Koike, Kaoru Saigo, R. Jayaraman, James L. Lessard and Kelly Crawford. Their work appears in journals such as International Journal of Biological Macromolecules, Nucleic Acids Research, Journal of Virology, Biodegradation 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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