Arpita Datta

1.0k citations
11 papers · 705 indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (4 papers)Microtubule and mitosis dynamics (4 papers)Protein Kinase Regulation and GTPase Signaling (2 papers)

In The Last Decade

Arpita Datta

11 papers receiving 696 citations

Hit Papers

Role of p53 in breast cancer progression: An insight into...20232026202420252023255075100

Peers

Arpita Datta
Comparison fields: 5 of 80
  • Molecular Biology 423
  • Oncology 175
  • Cancer Research 173
  • Cell Biology 137
  • Immunology 121
Replace Qichao Ni with:
Qichao Ni China
Alisha M. Mendonsa United States
Kotohiko Kimura Japan
Anna Gajos-Michniewicz Poland
Melanie Rothley Germany
Katayoun I. Amiri United States
Venturina Stagni Italy
Fengyuan Tang Switzerland
Joji Nakayama Japan
Mazvita Maziveyi United States
Arpita Datta relative to Qichao Ni China Qichao Ni's profile →
Citations per field
00.5×4.2×
Qichao Ni · 1×
Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1
Role of p53 in breast cancer progression: An insight into p53 targeted therapybreakdown →
104
2 67
3 117
4 28
5 90
6 34
7 65
8 101
9 15
10 55
11 29

About Arpita Datta

Arpita Datta is a scholar working on Cell Biology, Immunology and Oncology, having authored 11 papers that have together received 705 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Microtubule and mitosis dynamics (4 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cancer Research (173 citations), Cell Biology (137 citations) and Oncology (175 citations). Arpita Datta has collaborated with scholars based in Singapore, United Kingdom and Australia. Frequent co-authors include Soo Chin Lee, Celestial T. Yap, Charlie Marvalim, Alan Prem Kumar, Shuo Deng, Vennila Gopal, Tuan Zea Tan, Ser Yue Loo, Clarissa Esmeralda Halim and Gautam Sethi. Their work appears in journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

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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