Debalina Datta

35 total papers · 1.4k total citations
21 papers, 295 citations indexed

About

Debalina Datta is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Debalina Datta has authored 21 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Physiology. Recurrent topics in Debalina Datta's work include Alzheimer's disease research and treatments (4 papers), RNA Research and Splicing (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Debalina Datta is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), RNA Research and Splicing (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Debalina Datta collaborates with scholars based in India, Norway and Pakistan. Debalina Datta's co-authors include Samir K. Maji, Ambuja Navalkar, Komal Patel, Laxmikant Gadhe, Satyaprakash Pandey, Debdeep Chatterjee, Namrata Singh, Semanti Mukherjee, Soumik Ray and Pradeep Kadu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Debalina Datta

20 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Debalina Datta 154 62 41 41 27 21 295
Zhiying Yu 148 1.0× 28 0.5× 10 0.2× 25 0.6× 23 0.9× 33 341
Sarah Kim 97 0.6× 18 0.3× 29 0.7× 48 1.2× 5 0.2× 21 347
Rene Yu-Hong Cheng 156 1.0× 44 0.7× 3 0.1× 39 1.0× 19 0.7× 21 343
Jiaxu Zhao 129 0.8× 23 0.4× 17 0.4× 27 0.7× 41 1.5× 12 366
Narendra Kaushik 118 0.8× 48 0.8× 173 4.2× 7 0.2× 15 0.6× 17 345
Timothy Wu 200 1.3× 42 0.7× 20 0.5× 21 0.5× 16 0.6× 20 356
Sarah Daley 104 0.7× 39 0.6× 12 0.3× 129 3.1× 15 0.6× 13 345
Andrew Moreno 165 1.1× 29 0.5× 114 2.8× 19 0.5× 11 0.4× 13 293
Kaori Wada 56 0.4× 49 0.8× 9 0.2× 31 0.8× 5 0.2× 36 340
Jiewen Qiu 86 0.6× 39 0.6× 55 1.3× 39 1.0× 6 0.2× 25 328

Countries citing papers authored by Debalina Datta

Since Specialization
Citations

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

Fields of papers citing papers by Debalina Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debalina Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Debalina Datta. A scholar is included among the top collaborators of Debalina Datta 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 Debalina Datta. Debalina Datta 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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