Partha P. Datta

39 total papers · 1.1k total citations
19 papers, 830 citations indexed

About

Partha P. Datta is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Partha P. Datta has authored 19 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Endocrinology. Recurrent topics in Partha P. Datta's work include RNA and protein synthesis mechanisms (14 papers), Bacterial Genetics and Biotechnology (7 papers) and RNA modifications and cancer (7 papers). Partha P. Datta is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), Bacterial Genetics and Biotechnology (7 papers) and RNA modifications and cancer (7 papers). Partha P. Datta collaborates with scholars based in India, United States and Germany. Partha P. Datta's co-authors include Rajendra K. Agrawal, Manjuli R. Sharma, Linda Spremulli, T.M. Booth, Emine C. Koc, Paola Fucini, Daniel N. Wilson, Chandana Barat, Rupak K. Bhadra and Li Qi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Partha P. Datta

18 papers receiving 829 citations

Author Peers

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

Author Last Decade Papers Cites
Partha P. Datta 761 144 49 43 37 19 830
Nono Takeuchi 762 1.0× 93 0.6× 37 0.8× 31 0.7× 39 1.1× 24 839
Elena K. Davydova 671 0.9× 96 0.7× 71 1.4× 109 2.5× 32 0.9× 22 1.0k
Mieke Blaauw 649 0.9× 251 1.7× 26 0.5× 32 0.7× 30 0.8× 20 799
Kevin S. Wilson 848 1.1× 231 1.6× 43 0.9× 109 2.5× 31 0.8× 18 964
Joachim Greipel 600 0.8× 251 1.7× 26 0.5× 93 2.2× 55 1.5× 14 816
Peter A. Emanuel 560 0.7× 100 0.7× 45 0.9× 85 2.0× 41 1.1× 24 726
Marc Preuss 742 1.0× 164 1.1× 105 2.1× 38 0.9× 19 0.5× 10 885
Christine Aldridge 377 0.5× 188 1.3× 47 1.0× 106 2.5× 74 2.0× 21 750
Priyanka D. Abeyrathne 534 0.7× 155 1.1× 37 0.8× 96 2.2× 61 1.6× 21 735
Yong Hwee Foo 466 0.6× 106 0.7× 44 0.9× 90 2.1× 16 0.4× 21 758

Countries citing papers authored by Partha P. Datta

Since Specialization
Citations

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

Fields of papers citing papers by Partha P. Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Partha P. Datta

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