Debaditya Bhattacharya

19 total papers · 1.2k total citations
10 papers, 895 citations indexed

About

Debaditya Bhattacharya is a scholar working on Molecular Biology, Parasitology and Biomedical Engineering. According to data from OpenAlex, Debaditya Bhattacharya has authored 10 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Parasitology and 3 papers in Biomedical Engineering. Recurrent topics in Debaditya Bhattacharya's work include Vector-borne infectious diseases (3 papers), Enzyme Production and Characterization (2 papers) and Studies on Chitinases and Chitosanases (2 papers). Debaditya Bhattacharya is often cited by papers focused on Vector-borne infectious diseases (3 papers), Enzyme Production and Characterization (2 papers) and Studies on Chitinases and Chitosanases (2 papers). Debaditya Bhattacharya collaborates with scholars based in United States, India and Germany. Debaditya Bhattacharya's co-authors include Rajinder K. Gupta, Anand Nagpure, Mekki Bensaci, Linden T. Hu, Roger Clark, Sam R. Telford, Gary D. Luker, Tao Lin, Joan Mecsas and Kathryn E. Luker and has published in prestigious journals such as Journal of Applied Physics, Vaccine and Molecular Cancer Therapeutics.

In The Last Decade

Debaditya Bhattacharya

8 papers receiving 839 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Debaditya Bhattacharya 363 310 206 194 147 10 895
Periyannan Rajasekar 123 0.3× 188 0.6× 236 1.1× 87 0.4× 50 0.3× 15 887
Antonino S. Cavallaro 336 0.9× 97 0.3× 169 0.8× 133 0.7× 40 0.3× 18 776
Lansing M. Prescott 490 1.3× 179 0.6× 108 0.5× 64 0.3× 67 0.5× 14 1.0k
Aggeliki Martinou 506 1.4× 57 0.2× 175 0.8× 183 0.9× 205 1.4× 9 827
Sarah Teter 640 1.8× 84 0.3× 94 0.5× 186 1.0× 60 0.4× 10 986
Shiqi Xu 119 0.3× 44 0.1× 101 0.5× 92 0.5× 35 0.2× 17 893
Gan Dai 320 0.9× 263 0.8× 47 0.2× 162 0.8× 21 0.1× 15 869
Rafael Ovalle 426 1.2× 55 0.2× 293 1.4× 113 0.6× 85 0.6× 16 905
Brendan D. Snarr 515 1.4× 52 0.2× 166 0.8× 45 0.2× 62 0.4× 18 999
D.E. Blair 654 1.8× 73 0.2× 128 0.6× 68 0.4× 165 1.1× 11 817

Countries citing papers authored by Debaditya Bhattacharya

Since Specialization
Citations

This map shows the geographic impact of Debaditya Bhattacharya'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 Debaditya Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debaditya Bhattacharya more than expected).

Fields of papers citing papers by Debaditya Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debaditya Bhattacharya. 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 Debaditya Bhattacharya. The network helps show where Debaditya Bhattacharya may publish in the future.

Co-authorship network of co-authors of Debaditya Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Debaditya Bhattacharya. A scholar is included among the top collaborators of Debaditya Bhattacharya 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 Debaditya Bhattacharya. Debaditya Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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