Akshay Datey
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Bacterial Infections and Vaccines
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 3
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- Antimicrobial Peptides and Activities 3
- Co-authors
- Dipshikha Chakravortty (17 shared papers)Mayuri Gogoi (1 shared paper)Keith T. Wilson (1 shared paper)Divya Prakash Gnanadhas (2 shared papers)Nagasuma Chandra (3 shared papers)G. Jagadeesh (4 shared papers)Richard A. Strugnell (1 shared paper)Chandrani Thakur (1 shared paper)
- Journals
- Scientific Reports (3 papers)iScience (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)New Journal of Chemistry (1 paper)ACS Omega (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Akshay Datey
21 papers receiving 460 citations
Peers
Comparison fields: 5 of 103
- Microbiology 102
- Molecular Medicine 53
- Periodontics 21
- Endocrinology 22
- Molecular Biology 190
Countries citing papers authored by Akshay Datey
This map shows the geographic impact of Akshay Datey'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 Akshay Datey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Datey more than expected).
Fields of papers citing papers by Akshay Datey
This network shows the impact of papers produced by Akshay Datey. 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 Akshay Datey. The network helps show where Akshay Datey may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshay Datey, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2019 | 84 | |
| 3 | 2015 | 57 | |
| 4 | 2018 | 40 | |
| 5 | 2015 | 39 | |
| 6 | 2014 | 25 | |
| 7 | 2020 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Akshay Datey
Akshay Datey is a scholar working on Molecular Biology, Microbiology, Molecular Medicine, Biochemistry and Infectious Diseases, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (3 papers), Lipid metabolism and biosynthesis (3 papers), Bacterial biofilms and quorum sensing (3 papers), Antibiotic Resistance in Bacteria (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Bacteriophages and microbial interactions (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Microbiology (102 citations), Molecular Medicine (53 citations), Periodontics (21 citations), Endocrinology (22 citations) and Molecular Biology (190 citations). Akshay Datey has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Dipshikha Chakravortty, Mayuri Gogoi, Keith T. Wilson, Divya Prakash Gnanadhas, Nagasuma Chandra, G. Jagadeesh, Richard A. Strugnell, Chandrani Thakur, Deepesh Nagarajan and Siddhartha P. Sarma. Their work appears in journals such as Scientific Reports, iScience, Frontiers in Bioengineering and Biotechnology, New Journal of Chemistry and ACS Omega.
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.