Reetika Debroy

471 total citations
13 papers, 358 citations indexed

About

Reetika Debroy is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Reetika Debroy has authored 13 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Reetika Debroy's work include Computational Drug Discovery Methods (6 papers), Tuberculosis Research and Epidemiology (4 papers) and Cancer therapeutics and mechanisms (2 papers). Reetika Debroy is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Tuberculosis Research and Epidemiology (4 papers) and Cancer therapeutics and mechanisms (2 papers). Reetika Debroy collaborates with scholars based in India, United Kingdom and South Korea. Reetika Debroy's co-authors include Sudha Ramaiah, Anand Anbarasu, Aniket Naha, Sravan Kumar Miryala, Soumya Basu, Saravanan Natarajan, Paul G. Livingstone, Maulin P. Shah, Soumitra Nath and Harpreet Singh and has published in prestigious journals such as Gene, The International Journal of Biochemistry & Cell Biology and Journal of Molecular Liquids.

In The Last Decade

Reetika Debroy

13 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Reetika Debroy India 12 178 77 67 52 49 13 358
Toufic El Arnaout Ireland 8 196 1.1× 31 0.4× 25 0.4× 149 2.9× 19 0.4× 13 461
Miguel A. Alcantar United States 7 347 1.9× 81 1.1× 36 0.5× 65 1.3× 21 0.4× 9 517
Francesca D’Angelo Italy 8 252 1.4× 96 1.2× 14 0.2× 25 0.5× 15 0.3× 11 373
Nicholas Dillon United States 14 387 2.2× 99 1.3× 27 0.4× 299 5.8× 203 4.1× 29 742
Jessica Rose United States 10 126 0.7× 21 0.3× 12 0.2× 124 2.4× 76 1.6× 17 451
Muhammad Waseem Pakistan 11 147 0.8× 6 0.1× 55 0.8× 63 1.2× 35 0.7× 66 360
Gareth A. Prosser United Kingdom 13 347 1.9× 65 0.8× 34 0.5× 257 4.9× 153 3.1× 17 578
Marı́a Dolores Cima-Cabal Spain 11 131 0.7× 12 0.2× 44 0.7× 44 0.8× 128 2.6× 19 397
Kishore Viswanathan United States 12 148 0.8× 43 0.6× 29 0.4× 103 2.0× 67 1.4× 14 341
Beth Andrews United States 10 396 2.2× 47 0.6× 16 0.2× 43 0.8× 42 0.9× 13 705

Countries citing papers authored by Reetika Debroy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Reetika Debroy

This figure shows the co-authorship network connecting the top 25 collaborators of Reetika Debroy. A scholar is included among the top collaborators of Reetika Debroy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reetika Debroy. Reetika Debroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Debroy, Reetika & Sudha Ramaiah. (2023). Translational protein RpsE as an alternative target for novel nucleoside analogues to treat MDR Enterobacter cloacae ATCC 13047: network analysis and molecular dynamics study. World Journal of Microbiology and Biotechnology. 39(7). 187–187. 16 indexed citations
2.
Basu, Soumya, et al.. (2023). Impact of the COVID-19 pandemic on routine vaccine landscape: A global perspective. Human Vaccines & Immunotherapeutics. 19(1). 2199656–2199656. 38 indexed citations
3.
Debroy, Reetika & Sudha Ramaiah. (2023). Consolidated knowledge-guided computational pipeline for therapeutic intervention against bacterial biofilms - a review. Biofouling. 39(9-10). 928–947. 2 indexed citations
4.
Naha, Aniket, et al.. (2023). Microbial fuel cell: A state-of-the-art and revolutionizing technology for efficient energy recovery. 5. 100050–100050. 32 indexed citations
5.
6.
Debroy, Reetika & Sudha Ramaiah. (2022). MurC ligase of multi-drug resistant Salmonella Typhi can be inhibited by novel Curcumin derivative: Evidence from molecular docking and dynamics simulations. The International Journal of Biochemistry & Cell Biology. 151. 106279–106279. 26 indexed citations
7.
Basu, Soumya, Rosemol Varghese, Reetika Debroy, et al.. (2022). Non-steroidal anti-inflammatory drugs ketorolac and etodolac can augment the treatment against pneumococcal meningitis by targeting penicillin-binding proteins. Microbial Pathogenesis. 170. 105694–105694. 24 indexed citations
8.
9.
Naha, Aniket, Sanjukta Banerjee, Reetika Debroy, et al.. (2022). Network metrics, structural dynamics and density functional theory calculations identified a novel Ursodeoxycholic Acid derivative against therapeutic target Parkin for Parkinson's disease. Computational and Structural Biotechnology Journal. 20. 4271–4287. 36 indexed citations
10.
11.
Miryala, Sravan Kumar, Soumya Basu, Aniket Naha, et al.. (2021). Identification of bioactive natural compounds as efficient inhibitors against Mycobacterium tuberculosis protein-targets: A molecular docking and molecular dynamics simulation study. Journal of Molecular Liquids. 341. 117340–117340. 45 indexed citations
12.
Naha, Aniket, Sravan Kumar Miryala, Reetika Debroy, Sudha Ramaiah, & Anand Anbarasu. (2020). Elucidating the multi-drug resistance mechanism of Enterococcus faecalis V583: A gene interaction network analysis. Gene. 748. 144704–144704. 39 indexed citations
13.
Debroy, Reetika, Sravan Kumar Miryala, Aniket Naha, Anand Anbarasu, & Sudha Ramaiah. (2020). Gene interaction network studies to decipher the multi-drug resistance mechanism in Salmonella enterica serovar Typhi CT18 reveal potential drug targets. Microbial Pathogenesis. 142. 104096–104096. 49 indexed citations

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.

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