Anindya Dutta

44.8k citations
219 papers · 26.6k indexed · 9 hit papers · h-index 83
  • Cancer Research top 0.05%
    • Cancer-related molecular mechanisms research 31
    • DNA Repair Mechanisms 82
    • RNA modifications and cancer 48
    • RNA Research and Splicing 43
    • Genomics and Chromatin Dynamics 33
    • Epigenetics and DNA Methylation 24
  • Oncology top 0.2%
    • Cancer-related Molecular Pathways 51
  • Cell Biology top 0.2%
    • Microtubule and mitosis dynamics 32
  • Aging top 1%

Anindya Dutta

214 papers receiving 26.3k citations

Hit Papers

Meta-analysis of tRNA derived RNA fragm...482200020262008201750010001.5k2.0k

Peers

Anindya Dutta
Comparison fields: 5 of 153
  • Cancer Research 9.2k
  • Molecular Biology 22.6k
  • Oncology 5.6k
  • Cell Biology 3.1k
  • Aging 168
Replace Penny A. Jeggo with:
Penny A. Jeggo United Kingdom
Junjie Chen United States
Reuven Agami Netherlands
Owen J. Sansom United Kingdom
Martin Eilers Germany
Amparo Cano Spain
David D.L. Bowtell Australia
Shunichi Takeda Japan
Thanos D. Halazonetis United States
David J. Chen United States
Anindya Dutta relative to Penny A. Jeggo United Kingdom Penny A. Jeggo's profile →
Citations per field
00.5×1.5×2.4×
Penny A. Jeggo · 1×
Citations per year

Countries citing papers authored by Anindya Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anindya Dutta, 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 Anindya Dutta Line = papers co-authored together Anindya Dutta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202123
3 202035
4 202060
5 202056
6 20195
7 201840
8 201849
9 201829
10 2017178
11 201594
12 2014114
13 201358
14 2012221
15 2011198
16 2011143
17 2010237
18 2010347
19
Muscle-specific microRNA miR-206 promotes muscle differentiationbreakdown →
2006658
20 1998114

About Anindya Dutta

Anindya Dutta is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 219 papers that have together received 26.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (82 papers), Cancer-related Molecular Pathways (51 papers), RNA modifications and cancer (48 papers), RNA Research and Splicing (43 papers), Genomics and Chromatin Dynamics (33 papers), Microtubule and mitosis dynamics (32 papers), Cancer-related molecular mechanisms research (31 papers) and Epigenetics and DNA Methylation (24 papers). The work is most often cited by research in Cancer Research (9.2k citations), Molecular Biology (22.6k citations) and Oncology (5.6k citations). Anindya Dutta has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Yong Sun Lee, Tarek Abbas, Stephen P. Bell, Pankaj Kumar, Bijan K. Dey, Ankit Malhotra, Yoshiyuki Shibata, Yuichi Machida, James A. Wohlschlegel and Sudhakar Jha. Their work appears in journals such as Nature, Science and Cell.

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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