Reetesh Kumar

35 papers receiving 387 citations

Peers

Reetesh Kumar
Comparison fields: 5 of 85
  • Biotechnology 97
  • Pharmacology 31
  • Plant Science 105
  • Filtration and Separation 5
  • Molecular Biology 142
Replace Nisarg Gohil with:
Nisarg Gohil India
Vikas Thakur India
Gargi Bhattacharjee India
Fazia Adyani Ahmad Fuad Malaysia
Bushra Hafeez Kiani Saudi Arabia
Bijan Bambai Iran
Vijay Kumar Singh India
Lichun Qian China
Duangnate Isarangkul Thailand
Zakia Latif Pakistan
Reetesh Kumar relative to Nisarg Gohil India Nisarg Gohil's profile →
Citations per field
00.5×8.3×
Nisarg Gohil · 1×
Citations per year

Countries citing papers authored by Reetesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Reetesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Reetesh 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 Reetesh Kumar Line = papers co-authored together Reetesh 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 200879
2 202327
3 202326
4 201126
5 200924
6 202220
7 200020
8 202319
9 202316
10 201316
11 201115
12 201711
13 201311
14 202310
15 201810
16 20249
17 20068
18 20247
19 20256
20 20136

About Reetesh Kumar

Reetesh Kumar is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Biotechnology and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 409 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers), Enzyme Production and Characterization (3 papers), Glycosylation and Glycoproteins Research (2 papers), Flood Risk Assessment and Management (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Biotechnology (97 citations), Pharmacology (31 citations), Plant Science (105 citations), Filtration and Separation (5 citations) and Molecular Biology (142 citations). Reetesh Kumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Medicherla V. Jagannadham, Ritu Tomar, Vijay Kumar Singh, Abhishek Panigrahi, Samir Kumar Beura, G. R. K. Rao, Pandiyan Muthuramalingam, Sunil Kumar Singh, Geetika Verma and Rishika Dhapola. Their work appears in journals such as Process Biochemistry, Applied Biochemistry and Biotechnology, Plant Physiology and Biochemistry, New Journal of Chemistry and Natural Hazards.

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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