Devashish Mehta
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
-
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Antimicrobial agents and applications 6
- Microbiology 10
- Antimicrobial Peptides and Activities 10
- Co-authors
- Avinash Bajaj (21 shared papers)Varsha Saini (11 shared papers)Ujjaini Dasgupta (8 shared papers)Ashish Ranjan Dwivedi (2 shared papers)Jyoti Parkash (2 shared papers)Bhupinder Kumar (2 shared papers)Vijay Kumar (2 shared papers)Sanjay Pal (4 shared papers)
- Journals
- Nanoscale (4 papers)ACS Infectious Diseases (4 papers)ACS Pharmacology & Translational Science (1 paper)Advanced Healthcare Materials (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- IndiaUnited StatesBrazil
In The Last Decade
Devashish Mehta
25 papers receiving 291 citations
Peers
Comparison fields: 5 of 67
- Microbiology 43
- Pharmacology 76
- Molecular Medicine 20
- Organic Chemistry 89
- Computational Theory and Mathematics 47
Countries citing papers authored by Devashish Mehta
This map shows the geographic impact of Devashish Mehta'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 Devashish Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devashish Mehta more than expected).
Fields of papers citing papers by Devashish Mehta
This network shows the impact of papers produced by Devashish Mehta. 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 Devashish Mehta. The network helps show where Devashish Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Devashish Mehta, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 76 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 22 | |
| 4 | 2023 | 20 | |
| 5 | 2021 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 2024 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2025 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Devashish Mehta
Devashish Mehta is a scholar working on Organic Chemistry, Microbiology, Molecular Biology, Immunology and Epidemiology, having authored 27 papers that have together received 294 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (10 papers), Antimicrobial agents and applications (6 papers), Immune Response and Inflammation (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Antifungal resistance and susceptibility (2 papers), Computational Drug Discovery Methods (2 papers) and Oral microbiology and periodontitis research (2 papers). The work is most often cited by research in Microbiology (43 citations), Pharmacology (76 citations), Molecular Medicine (20 citations), Organic Chemistry (89 citations) and Computational Theory and Mathematics (47 citations). Devashish Mehta has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Avinash Bajaj, Varsha Saini, Ujjaini Dasgupta, Ashish Ranjan Dwivedi, Jyoti Parkash, Bhupinder Kumar, Vijay Kumar, Sanjay Pal, Veena S. Patil and Aasheesh Srivastava. Their work appears in journals such as Nanoscale, ACS Infectious Diseases, ACS Pharmacology & Translational Science, Advanced Healthcare Materials and Frontiers in Plant Science.
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.