Deepesh Nagarajan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Protein Structure and Dynamics 4
- Biochemical and Structural Characterization 4
- RNA and protein synthesis mechanisms 2
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- Antimicrobial Peptides and Activities 3
- Co-authors
- Nagasuma Chandra (8 shared papers)Dipshikha Chakravortty (3 shared papers)Tushar Nagarajan (2 shared papers)Richard Morgan (1 shared paper)Asish K. Mukhopadhyay (1 shared paper)Desirazu N. Rao (1 shared paper)Sumanta Mukherjee (1 shared paper)Praveen Anand (1 shared paper)
- Journals
- ACS Omega (3 papers)Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)iScience (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- IndiaUnited StatesFinland
In The Last Decade
Deepesh Nagarajan
16 papers receiving 383 citations
Peers
Comparison fields: 5 of 63
- Microbiology 159
- Molecular Medicine 41
- Molecular Biology 271
- Computational Theory and Mathematics 39
- Applied Microbiology and Biotechnology 4
Countries citing papers authored by Deepesh Nagarajan
This map shows the geographic impact of Deepesh Nagarajan'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 Deepesh Nagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepesh Nagarajan more than expected).
Fields of papers citing papers by Deepesh Nagarajan
This network shows the impact of papers produced by Deepesh Nagarajan. 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 Deepesh Nagarajan. The network helps show where Deepesh Nagarajan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepesh Nagarajan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2019 | 84 | |
| 3 | 2018 | 59 | |
| 4 | 2022 | 31 | |
| 5 | 2014 | 31 | |
| 6 | 2015 | 22 | |
| 7 | 2013 | 15 | |
| 8 | 2019 | 7 | |
| 9 | 2018 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Deepesh Nagarajan
Deepesh Nagarajan is a scholar working on Molecular Biology, Microbiology, Infectious Diseases, Epidemiology and Computational Theory and Mathematics, having authored 19 papers that have together received 389 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Biochemical and Structural Characterization (4 papers), Antimicrobial Peptides and Activities (3 papers), Computational Drug Discovery Methods (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Probiotics and Fermented Foods (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Microbiology (159 citations), Molecular Medicine (41 citations), Molecular Biology (271 citations), Computational Theory and Mathematics (39 citations) and Applied Microbiology and Biotechnology (4 citations). Deepesh Nagarajan has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Nagasuma Chandra, Dipshikha Chakravortty, Tushar Nagarajan, Richard Morgan, Asish K. Mukhopadhyay, Desirazu N. Rao, Sumanta Mukherjee, Praveen Anand, Akshay Datey and Chandrani Thakur. Their work appears in journals such as ACS Omega, Journal of Biological Chemistry, Scientific Reports, iScience and Nucleic Acids Research.
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.