Reetesh Kumar

743 citations
50 papers · 490 · h-index 13

Impact in

Papers in

    • Enzyme Production and Characterization 3
    • Transgenic Plants and Applications 2
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • Viral Infections and Vectors 2

Reetesh Kumar

40 papers receiving 455 citations

Peers

Reetesh Kumar
Comparison fields: 5 of 88
  • Biotechnology 110
  • Pharmacology 31
  • Plant Science 127
  • Molecular Biology 164
  • Filtration and Separation 5
Replace Vikas S. Thakur with:
Vikas S. Thakur India
Fazia Adyani Ahmad Fuad Malaysia
Hoda M. Soliman Egypt
Pollyanna Michelle da Silva Brazil
Lichun Qian China
Bushra Hafeez Kiani Saudi Arabia
Raied Badierah Saudi Arabia
Jiwei Mao China
Mathieu Schwartz France
Mingjie Xu China
Reetesh Kumar relative to Vikas S. Thakur India Vikas S. Thakur's profile →
Citations per field
00.5×5×10×14.7×
Vikas S. Thakur · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200886
2 202330
3 200928
4 201128
5 202327
6 202325
7 202222
8 201321
9 200019
10 201117
11 202316
12 202514
13 201813
14 201712
15 202312
16 202412
17 202511
18 201311
19 20069
20 20259

About Reetesh Kumar

Reetesh Kumar is a scholar working on Biotechnology, Infectious Diseases, Plant Science, Molecular Biology and Molecular Medicine, having authored 50 papers that have together received 490 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Enzyme Production and Characterization (3 papers), Mosquito-borne diseases and control (3 papers), Genetics and Plant Breeding (3 papers), COVID-19 Clinical Research Studies (2 papers), Transgenic Plants and Applications (2 papers), Viral Infections and Vectors (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Biotechnology (110 citations), Pharmacology (31 citations), Plant Science (127 citations), Molecular Biology (164 citations) and Filtration and Separation (5 citations). Reetesh Kumar has collaborated with scholars based in India, South Korea and Saudi Arabia. Frequent co-authors include Medicherla V. Jagannadham, Ritu Tomar, Pandiyan Muthuramalingam, G. R. K. Rao, Vijay Kumar Singh, Sunil Kumar Singh, Abhishek Ramachandra Panigrahi, Samir Kumar Beura, Geetika Verma and Hyunsuk Shin. Their work appears in journals such as Process Biochemistry, Applied Biochemistry and Biotechnology, International Journal of Nanomedicine, Bioresource Technology Reports and Materials Letters.

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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