Aditya Kumar
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
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- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- DNA and Nucleic Acid Chemistry
- Machine Learning in Bioinformatics
Papers in
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- RNA and protein synthesis mechanisms 15
- Genomics and Phylogenetic Studies 8
- Genomics and Chromatin Dynamics 8
- Machine Learning in Bioinformatics 4
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- Enzyme Production and Characterization 4
- Co-authors
- Manju Bansal (7 shared papers)Venkata Rajesh Yella (13 shared papers)Naveen Gupta (8 shared papers)Deepak Kumar (6 shared papers)Prince Sharma (3 shared papers)Nancy George (1 shared paper)Sonica Sondhi (4 shared papers)Mohit Yadav (7 shared papers)
In The Last Decade
Aditya Kumar
51 papers receiving 709 citations
Peers
Comparison fields: 5 of 90
- Biotechnology 118
- Molecular Biology 425
- Drug Discovery 1
- Virology 18
- Plant Science 144
Countries citing papers authored by Aditya Kumar
This map shows the geographic impact of Aditya 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 Aditya Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Kumar more than expected).
Fields of papers citing papers by Aditya Kumar
This network shows the impact of papers produced by Aditya 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 Aditya Kumar. The network helps show where Aditya Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2017 | 69 | |
| 3 | 2022 | 64 | |
| 4 | 2017 | 57 | |
| 5 | 2018 | 35 | |
| 6 | 2023 | 29 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 26 | |
| 9 | 2020 | 24 | |
| 10 | 2009 | 23 | |
| 11 | 2013 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2014 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2021 | 10 |
About Aditya Kumar
Aditya Kumar is a scholar working on Molecular Biology, Biotechnology, Ecology, Genetics and Plant Science, having authored 58 papers that have together received 726 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (8 papers), Genomics and Chromatin Dynamics (8 papers), Bacteriophages and microbial interactions (7 papers), Bacterial Genetics and Biotechnology (5 papers), Machine Learning in Bioinformatics (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Biotechnology (118 citations), Molecular Biology (425 citations), Drug Discovery (1 citation), Virology (18 citations) and Plant Science (144 citations). Aditya Kumar has collaborated with scholars based in India, Brazil and Mexico. Frequent co-authors include Manju Bansal, Venkata Rajesh Yella, Naveen Gupta, Deepak Kumar, Prince Sharma, Nancy George, Sonica Sondhi, Mohit Yadav, Ernesto Pérez‐Rueda and Scheila de Ávila e Silva. Their work appears in journals such as ACS Omega, Journal of Biological Chemistry, DNA Research, Scientific Reports and Molecular Biology 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.