Arunima Datta

524 citations
29 papers · 367 · h-index 9

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Cancer survivorship and care 9
    • Colorectal Cancer Treatments and Studies 2
    • Kruppel-like factors research 3
    • TGF-β signaling in diseases 3
    • Cancer-related gene regulation 3

Arunima Datta

22 papers receiving 359 citations

Peers

Arunima Datta
Comparison fields: 5 of 76
  • Oncology 161
  • Cancer Research 81
  • Molecular Biology 221
  • Pathology and Forensic Medicine 55
  • Hepatology 11
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Citations per field
00.5×4.2×
Christina Nadolny · 1×
Citations per year

Countries citing papers authored by Arunima Datta

Since Specialization
Citations

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

Fields of papers citing papers by Arunima Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arunima Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arunima Datta Line = papers co-authored together Arunima Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 201131
3 201627
4 201519
5 201518
6 201615
7 202014
8 200913
9 201510
10 20168
11 20166
12 20216
13 20246
14 20186
15
Depression And Anxiety In Mothers Of Children With Cancer And How They Cope With It: A Cross-Sectional Hospital Based Study In Eastern India
20164
16 20223
17
Social Emotion Recognition, Social Functioning and Suicidal Behaviour in Breast Cancer Patients in India.
20222
18 20231
19 20221
20 20181

About Arunima Datta

Arunima Datta is a scholar working on Oncology, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Sociology and Political Science, having authored 29 papers that have together received 367 indexed citations. Recurring topics across this work include Cancer survivorship and care (9 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Cancer-related cognitive impairment studies (4 papers), Family Support in Illness (4 papers), Kruppel-like factors research (3 papers), TGF-β signaling in diseases (3 papers), Cancer-related gene regulation (3 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Oncology (161 citations), Cancer Research (81 citations), Molecular Biology (221 citations), Pathology and Forensic Medicine (55 citations) and Hepatology (11 citations). Arunima Datta has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include Pran K. Datta, Sunil K. Halder, Bixiang Zhang, Nilesh Kashikar, Yong–Jig Cho, D. Lee Gorden, Lin Jin, Shanzhong Yang, Guandou Yuan and Amy‐Joan L. Ham. Their work appears in journals such as Gastroenterology, Annals of Oncology, Oncotarget, Neoplasia and Stem Cells.

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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