Aditya Kumar
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
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- RNA and protein synthesis mechanisms 15
- Genomics and Phylogenetic Studies 8
- Genomics and Chromatin Dynamics 6
- Machine Learning in Bioinformatics 5
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- Enzyme Production and Characterization 4
- Co-authors
- Manju Bansal (5 shared papers)Venkata Rajesh Yella (12 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)Ernesto Pérez‐Rueda (5 shared papers)
In The Last Decade
Aditya Kumar
42 papers receiving 608 citations
Peers
Comparison fields: 5 of 92
- Biotechnology 106
- Drug Discovery 1
- Molecular Biology 382
- Virology 19
- Plant Science 122
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 81 | |
| 2 | 2017 | 60 | |
| 3 | 2022 | 53 | |
| 4 | 2017 | 50 | |
| 5 | 2018 | 32 | |
| 6 | 2023 | 27 | |
| 7 | 2017 | 25 | |
| 8 | 2018 | 21 | |
| 9 | 2009 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2018 | 9 |
About Aditya Kumar
Aditya Kumar is a scholar working on Molecular Biology, Biotechnology, Ecology, Plant Science and Genetics, having authored 48 papers that have together received 616 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Genomics and Phylogenetic Studies (8 papers), Bacteriophages and microbial interactions (7 papers), Genomics and Chromatin Dynamics (6 papers), Machine Learning in Bioinformatics (5 papers), Enzyme Production and Characterization (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Biotechnology (106 citations), Drug Discovery (1 citation), Molecular Biology (382 citations), Virology (19 citations) and Plant Science (122 citations). Aditya Kumar has collaborated with scholars based in India, Mexico and Brazil. Frequent co-authors include Manju Bansal, Venkata Rajesh Yella, Naveen Gupta, Deepak Kumar, Prince Sharma, Nancy George, Sonica Sondhi, Ernesto Pérez‐Rueda, Prakram Singh Chauhan and Neena Puri. Their work appears in journals such as ACS Omega, Journal of Biological Chemistry, Scientific Reports, International Journal of Biological Macromolecules 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.