Arpita Datta

24 total papers · 989 total citations
11 papers, 698 citations indexed

About

Arpita Datta is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Arpita Datta has authored 11 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Arpita Datta's work include Microtubule and mitosis dynamics (4 papers), Immune Cell Function and Interaction (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Arpita Datta is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Immune Cell Function and Interaction (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Arpita Datta collaborates with scholars based in Singapore, United Kingdom and United States. Arpita Datta's co-authors include Soo Chin Lee, Celestial T. Yap, Charlie Marvalim, Alan Prem Kumar, Vennila Gopal, Shuo Deng, Tuan Zea Tan, Ser Yue Loo, Gautam Sethi and Clarissa Esmeralda Halim and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Arpita Datta

11 papers receiving 688 citations

Hit Papers

Role of p53 in breast can... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Arpita Datta 419 176 173 138 121 11 698
Byung-Kyu Ryu 509 1.2× 210 1.2× 200 1.2× 111 0.8× 97 0.8× 14 784
Suzete de Silva Rudland 533 1.3× 224 1.3× 181 1.0× 94 0.7× 98 0.8× 9 747
Kimberly A. Scata 553 1.3× 270 1.5× 192 1.1× 139 1.0× 96 0.8× 10 763
Huwate Yeerna 466 1.1× 228 1.3× 126 0.7× 133 1.0× 96 0.8× 15 758
Chen Yang 445 1.1× 160 0.9× 239 1.4× 68 0.5× 127 1.0× 10 756
Stefan Grotegut 569 1.4× 218 1.2× 128 0.7× 124 0.9× 122 1.0× 11 777
Nawal Bendris 476 1.1× 179 1.0× 118 0.7× 211 1.5× 69 0.6× 16 682
Stanley Borowicz 503 1.2× 205 1.2× 182 1.1× 64 0.5× 72 0.6× 14 762
Jennifer Silvester 361 0.9× 168 1.0× 133 0.8× 152 1.1× 132 1.1× 13 602
Anita Hufnagel 454 1.1× 159 0.9× 86 0.5× 124 0.9× 128 1.1× 15 627

Countries citing papers authored by Arpita Datta

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Datta

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