Anindya Dutta

44.8k total citations · 9 hit papers
219 papers, 26.6k citations indexed

About

Anindya Dutta is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Anindya Dutta has authored 219 papers receiving a total of 26.6k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Molecular Biology, 65 papers in Cancer Research and 63 papers in Oncology. Recurrent topics in Anindya Dutta's work include DNA Repair Mechanisms (82 papers), Cancer-related Molecular Pathways (51 papers) and RNA modifications and cancer (48 papers). Anindya Dutta is often cited by papers focused on DNA Repair Mechanisms (82 papers), Cancer-related Molecular Pathways (51 papers) and RNA modifications and cancer (48 papers). Anindya Dutta collaborates with scholars based in United States, South Korea and India. Anindya Dutta's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Anindya Dutta

214 papers receiving 26.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

p21 in cancer: intricate networks and multiple activities

2009 2.1k citations Anindya Dutta et al. profile →
DNA Replication in Eukaryotic Cells

2002 1.5k citations Anindya Dutta et al. profile →
MicroRNAs in Cancer

2008 1.2k citations Yong Sun Lee, Anindya Dutta profile →
The tumor suppressor microRNA let-7 represses the HMGA2 oncogene

2007 974 citations Yong Sun Lee, Anindya Dutta profile →
A novel class of small RNAs: tRNA-derived RNA fragments (tRFs)

2009 877 citations Yong Sun Lee, Yoshiyuki Shibata et al. profile →
Muscle-specific microRNA miR-206 promotes muscle differentiation

2006 658 citations Yong Sun Lee, Umasundari Sivaprasad et al. The Journal of Cell Biology profile →
Inhibition of Eukaryotic DNA Replication by Geminin Binding to Cdt1

2000 582 citations Anindya Dutta et al. Science profile →
Preventing re-replication of chromosomal DNA

2005 514 citations Anindya Dutta et al. profile →
Meta-analysis of tRNA derived RNA fragments reveals that they are evolutionarily conserved and associate with AGO proteins to recognize specific RNA targets

2014 482 citations Pankaj Kumar, Jordan Anaya et al. profile →

Peers

Anindya Dutta

ONCOL

GENET

Penny A. Jeggo United Kingdom

Junjie Chen United States

Kristian Helin Denmark

Geoffrey M. Wahl United States

Alan D. D’Andrea United States

Shunichi Takeda Japan

Yue Xiong United States

André Nussenzweig United States

Carol Prives United States

Hideyuki Saya Japan

Penny A. Jeggo United Kingdom

Anindya Dutta

18.6k ×0.8

5.1k ×0.6

7.0k ×1.2

ONCOL

1.7k ×0.5

1.9k ×0.9

GENET

Citations per year, relative to Anindya Dutta Anindya Dutta (= 1×) peers Penny A. Jeggo

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 of co-authors of Anindya Dutta

This figure shows the co-authorship network connecting the top 25 collaborators of Anindya Dutta. A scholar is included among the top collaborators of Anindya Dutta 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 Anindya Dutta. Anindya Dutta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kundu, Subhas C., et al.. (2024). Unravelling the Relaxation Pathway and Excited State Dynamics of Ruthenium(II) Polypyridyl Complexes Incorporating Phosphorus‐Based Monodentate Ligands. Chemistry - A European Journal. 31(14). e202404231–e202404231.

Saha, Shekhar, Ying Zhang, Briana Wilson, Roger Abounader, & Anindya Dutta. (2021). The tumor-suppressive long noncoding RNA DRAIC inhibits protein translation and induces autophagy by activating AMPK. Journal of Cell Science. 134(24). 23 indexed citations

Su, Zhangli, et al.. (2020). tRNA-derived fragments and microRNAs in the maternal-fetal interface of a mouse maternal-immune-activation autism model. RNA Biology. 17(8). 1183–1195. 35 indexed citations

Wei, Xiaolong, Jiekun Yang, Sara J. Adair, et al.. (2020). Targeted CRISPR screening identifies PRMT5 as synthetic lethality combinatorial target with gemcitabine in pancreatic cancer cells. Proceedings of the National Academy of Sciences. 117(45). 28068–28079. 60 indexed citations

Saha, Shekhar, Manjari Kiran, Canan Kuscu, et al.. (2020). Long Noncoding RNA DRAIC Inhibits Prostate Cancer Progression by Interacting with IKK to Inhibit NF-κB Activation. Cancer Research. 80(5). 950–963. 56 indexed citations

Chatrath, Ajay, Manjari Kiran, Pankaj Kumar, Aakrosh Ratan, & Anindya Dutta. (2019). The Germline Variants rs61757955 and rs34988193 Are Predictive of Survival in Lower Grade Glioma Patients. Molecular Cancer Research. 17(5). 1075–1086. 5 indexed citations

Reon, Brian J., et al.. (2018). LINC00152 Promotes Invasion through a 3′-Hairpin Structure and Associates with Prognosis in Glioblastoma. Molecular Cancer Research. 16(10). 1470–1482. 40 indexed citations

Kiran, Shashi, Ashraf Dar, Samarendra Kumar Singh, Kyung Yong Lee, & Anindya Dutta. (2018). The Deubiquitinase USP46 Is Essential for Proliferation and Tumor Growth of HPV-Transformed Cancers. Molecular Cell. 72(5). 823–835.e5. 49 indexed citations

Kiran, Manjari, et al.. (2018). MUNC, an Enhancer RNA Upstream from the MYOD Gene, Induces a Subgroup of Myogenic Transcripts in trans Independently of MyoD. Molecular and Cellular Biology. 38(20). 29 indexed citations

10.

Kumar, Pankaj, Laura W. Dillon, Yoshiyuki Shibata, et al.. (2017). Normal and Cancerous Tissues Release Extrachromosomal Circular DNA (eccDNA) into the Circulation. Molecular Cancer Research. 15(9). 1197–1205. 178 indexed citations

11.

Sakurai, Kouhei, Brian J. Reon, Jordan Anaya, & Anindya Dutta. (2015). The lncRNA DRAIC / PCAT29 Locus Constitutes a Tumor-Suppressive Nexus. Molecular Cancer Research. 13(5). 828–838. 94 indexed citations

12.

Mueller, Adam C., Bijan K. Dey, Ryan M. Layer, et al.. (2014). MUNC, a Long Noncoding RNA That Facilitates the Function of MyoD in Skeletal Myogenesis. Molecular and Cellular Biology. 35(3). 498–513. 114 indexed citations

13.

Jazaeri, Amir A., Etsuko Shibata, Jong-Hoon Park, et al.. (2013). Overcoming Platinum Resistance in Preclinical Models of Ovarian Cancer Using the Neddylation Inhibitor MLN4924. Molecular Cancer Therapeutics. 12(10). 1958–1967. 58 indexed citations

14.

Shibata, Yoshiyuki, Pankaj Kumar, Ryan M. Layer, et al.. (2012). Extrachromosomal MicroDNAs and Chromosomal Microdeletions in Normal Tissues. Science. 336(6077). 82–86. 221 indexed citations

15.

Sun, Dandan, Yong Sun Lee, Ankit Malhotra, et al.. (2011). miR-99 Family of MicroRNAs Suppresses the Expression of Prostate-Specific Antigen and Prostate Cancer Cell Proliferation. Cancer Research. 71(4). 1313–1324. 198 indexed citations

16.

Gagan, Jeffrey, Bijan K. Dey, Ryan M. Layer, Zhen Yan, & Anindya Dutta. (2011). MicroRNA-378 Targets the Myogenic Repressor MyoR during Myoblast Differentiation. Journal of Biological Chemistry. 286(22). 19431–19438. 143 indexed citations

17.

Lin, Jie, Michael A. Milhollen, Peter G. Smith, Usha Narayanan, & Anindya Dutta. (2010). NEDD8-Targeting Drug MLN4924 Elicits DNA Rereplication by Stabilizing Cdt1 in S Phase, Triggering Checkpoint Activation, Apoptosis, and Senescence in Cancer Cells. Cancer Research. 70(24). 10310–10320. 237 indexed citations

18.

Dey, Bijan K., Jeffrey Gagan, & Anindya Dutta. (2010). miR-206 and -486 Induce Myoblast Differentiation by Downregulating Pax7. Molecular and Cellular Biology. 31(1). 203–214. 347 indexed citations

19.

Lee, Yong Sun, et al.. (2006). Muscle-specific microRNA miR-206 promotes muscle differentiation. The Journal of Cell Biology. 174(5). 677–687. 658 indexed citations breakdown →

20.

Qiu, Xiao‐Bo, Yi‐Ling Lin, Kelly C. Thome, et al.. (1998). An Eukaryotic RuvB-like Protein (RUVBL1) Essential for Growth. Journal of Biological Chemistry. 273(43). 27786–27793. 114 indexed citations

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.

Explore authors with similar magnitude of impact