Reetika Debroy
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- Tuberculosis Research and Epidemiology 4
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- Computational Drug Discovery Methods 5
- Co-authors
- Sudha Ramaiah (11 shared papers)Anand Anbarasu (8 shared papers)Aniket Naha (6 shared papers)Sravan Kumar Miryala (4 shared papers)Soumya Basu (6 shared papers)Paul G. Livingstone (1 shared paper)Maulin P. Shah (1 shared paper)Soumitra Nath (1 shared paper)
- Journals
- Microbial Pathogenesis (2 papers)Gene (1 paper)Journal of Molecular Liquids (1 paper)Medical and Veterinary Entomology (1 paper)Human Vaccines & Immunotherapeutics (1 paper)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Reetika Debroy
12 papers receiving 351 citations
Peers
Comparison fields: 5 of 72
- Molecular Medicine 70
- Microbiology 37
- Health 27
- Computational Theory and Mathematics 57
- Pharmacology 24
Countries citing papers authored by Reetika Debroy
This map shows the geographic impact of Reetika Debroy'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 Reetika Debroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reetika Debroy more than expected).
Fields of papers citing papers by Reetika Debroy
This network shows the impact of papers produced by Reetika Debroy. 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 Reetika Debroy. The network helps show where Reetika Debroy may publish in the future.
Co-authors
The 12 scholars most cited alongside Reetika Debroy, 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 | 2020 | 50 | |
| 2 | 2023 | 47 | |
| 3 | 2021 | 45 | |
| 4 | 2020 | 39 | |
| 5 | 2022 | 38 | |
| 6 | 2023 | 35 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 25 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 3 |
About Reetika Debroy
Reetika Debroy is a scholar working on Infectious Diseases, Computational Theory and Mathematics, Molecular Biology, Pharmacology and Health, having authored 12 papers that have together received 353 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Tuberculosis Research and Epidemiology (4 papers), Cancer therapeutics and mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers), Electrochemical sensors and biosensors (1 paper), Vaccine Coverage and Hesitancy (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Molecular Medicine (70 citations), Microbiology (37 citations), Health (27 citations), Computational Theory and Mathematics (57 citations) and Pharmacology (24 citations). Reetika Debroy has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Sudha Ramaiah, Anand Anbarasu, Aniket Naha, Sravan Kumar Miryala, Soumya Basu, Paul G. Livingstone, Maulin P. Shah, Soumitra Nath, Harpreet Singh and Balaji Veeraraghavan. Their work appears in journals such as Microbial Pathogenesis, Gene, Journal of Molecular Liquids, Medical and Veterinary Entomology and Human Vaccines & Immunotherapeutics.
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.