Subrata Sen

11.9k total citations · 3 hit papers
111 papers, 8.2k citations indexed

About

Subrata Sen is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Subrata Sen has authored 111 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 61 papers in Oncology and 49 papers in Cell Biology. Recurrent topics in Subrata Sen's work include Microtubule and mitosis dynamics (47 papers), Cancer-related Molecular Pathways (41 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Subrata Sen is often cited by papers focused on Microtubule and mitosis dynamics (47 papers), Cancer-related Molecular Pathways (41 papers) and Pancreatic and Hepatic Oncology Research (18 papers). Subrata Sen collaborates with scholars based in United States, Netherlands and Japan. Subrata Sen's co-authors include Hongyi Zhou, Jin Wang, Hiroshi Katayama, B. R. Brinkley, Ayşegül A. Şahin, R. Allen White, William R. Brinkley, Jian Kuang, Ling Zhong and Joe W. Gray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Subrata Sen

107 papers receiving 8.1k citations

Hit Papers

Tumour amplified kinase STK15/BTAK induces centrosome amp... 1998 2026 2007 2016 1998 2015 2002 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Subrata Sen United States 41 5.5k 3.8k 3.4k 2.2k 556 111 8.2k
Bruce E. Clurman United States 45 7.8k 1.4× 1.9k 0.5× 4.2k 1.2× 1.2k 0.6× 251 0.5× 77 9.6k
Todd Waldman United States 39 8.0k 1.5× 1.2k 0.3× 5.7k 1.7× 2.0k 0.9× 210 0.4× 66 10.9k
Emma Lees United States 46 7.2k 1.3× 1.8k 0.5× 4.9k 1.4× 1.1k 0.5× 340 0.6× 73 9.8k
Jorge Filmus Canada 54 7.8k 1.4× 3.5k 0.9× 2.7k 0.8× 2.0k 0.9× 78 0.1× 103 11.8k
David T. Weaver United States 49 6.5k 1.2× 747 0.2× 2.6k 0.8× 1.3k 0.6× 467 0.8× 150 9.0k
Eva Hernando United States 52 10.6k 1.9× 1.3k 0.3× 3.3k 1.0× 5.6k 2.6× 231 0.4× 115 14.5k
Ada Sacchi Italy 55 5.8k 1.0× 1.2k 0.3× 3.7k 1.1× 1.5k 0.7× 162 0.3× 162 8.4k
Roger A. Greenberg United States 51 7.9k 1.4× 927 0.2× 2.6k 0.7× 1.3k 0.6× 377 0.7× 98 10.3k
Jindan Yu United States 49 8.9k 1.6× 5.2k 1.4× 1.6k 0.5× 2.8k 1.3× 444 0.8× 87 12.7k
Alwin Krämer Germany 39 4.0k 0.7× 1.8k 0.5× 2.2k 0.6× 814 0.4× 228 0.4× 124 5.9k

Countries citing papers authored by Subrata Sen

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Sen

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

All Works

20 of 20 papers shown
1.
Treekitkarnmongkol, Warapen, Mei-Chee Tai, Sanchita Rauth, et al.. (2025). RASH3D19 mediates RAS activation through a positive feedback loop in KRAS-mutant cancer. Nature Cell Biology. 28(1). 197–206.
2.
Manyam, Ganiraju C., Vibhuti Srivastava, Jueping Song, et al.. (2025). Chromosome 20q gene signature associated with colorectal cancer progression. Oncology Reports. 54(4). 1–11.
3.
Treekitkarnmongkol, Warapen, Jianliang Dai, Suyu Liu, et al.. (2025). An integrated multi‐omics biomarker approach using molecular profiling and microRNAs for evaluation of pancreatic cyst fluid. Cancer Cytopathology. 133(4). e70008–e70008. 2 indexed citations
4.
Tang, Wei, Azadeh Azizian, Jochen Gaedcke, et al.. (2024). MIF/NR3C2 axis regulates glucose metabolism reprogramming in pancreatic cancer through MAPK–ERK and AP-1 pathways. Carcinogenesis. 45(8). 582–594. 7 indexed citations
5.
Sen, Subrata, et al.. (2023). Cigarette smoke condensate induces centrosome clustering in normal lung epithelial cells. Cancer Medicine. 12(7). 8499–8509. 2 indexed citations
6.
Balasenthil, Seetharaman, Suyu Liu, Jianliang Dai, et al.. (2023). Blood-based Migration Signature Biomarker Panel Discriminates Early Stage New Onset Diabetes related Pancreatic Ductal Adenocarcinoma from Type 2 Diabetes. Clinica Chimica Acta. 551. 117567–117567. 2 indexed citations
7.
Dittmar, Rachel L., Suyu Liu, Mei-Chee Tai, et al.. (2021). Plasma miRNA Biomarkers in Limited Volume Samples for Detection of Early-stage Pancreatic Cancer. Cancer Prevention Research. 14(7). 729–740. 27 indexed citations
8.
Pudakalakatti, Shivanand, Prasanta Dutta, Niki M. Zacharias, et al.. (2021). Hyperpolarized Magnetic Resonance and Artificial Intelligence: Frontiers of Imaging in Pancreatic Cancer. JMIR Medical Informatics. 9(6). e26601–e26601. 14 indexed citations
9.
Dutta, Prasanta, Erick Riquelme, Michelle Zoltan, et al.. (2020). Early Detection of Pancreatic Intraepithelial Neoplasias (PanINs) in Transgenic Mouse Model by Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy. International Journal of Molecular Sciences. 21(10). 3722–3722. 12 indexed citations
10.
Jiao, Li, Suman Kumar Maity, Cristian Coarfa, et al.. (2019). A Prospective Targeted Serum Metabolomics Study of Pancreatic Cancer in Postmenopausal Women. Cancer Prevention Research. 12(4). 237–246. 16 indexed citations
11.
Dutta, Prasanta, Jae-Hyuk Lee, Ya’an Kang, et al.. (2019). Combining Hyperpolarized Real-Time Metabolic Imaging and NMR Spectroscopy To Identify Metabolic Biomarkers in Pancreatic Cancer. Journal of Proteome Research. 18(7). 2826–2834. 25 indexed citations
12.
Bernard, Vincent, Alexander Semaan, Jonathan Huang, et al.. (2018). Single-Cell Transcriptomics of Pancreatic Cancer Precursors Demonstrates Epithelial and Microenvironmental Heterogeneity as an Early Event in Neoplastic Progression. Clinical Cancer Research. 25(7). 2194–2205. 258 indexed citations
13.
Kai, Kazuharu, Kimie Kondo, Xiaoping Wang, et al.. (2015). Antitumor Activity of KW-2450 against Triple-Negative Breast Cancer by Inhibiting Aurora A and B Kinases. Molecular Cancer Therapeutics. 14(12). 2687–2699. 17 indexed citations
14.
Wang, Jin, et al.. (2015). MicroRNA as Biomarkers and Diagnostics. Journal of Cellular Physiology. 231(1). 25–30. 601 indexed citations breakdown →
15.
Wang, Jin, Jinyun Chen, Fan Shen, et al.. (2014). High-resolution melting analysis reveals genetic polymorphisms in MicroRNAs confer hepatocellular carcinoma risk in Chinese patients. BMC Cancer. 14(1). 643–643. 34 indexed citations
16.
Chen, Nanyue, Seetharaman Balasenthil, Jacquelyn Reuther, et al.. (2013). DEAR1 Is a Chromosome 1p35 Tumor Suppressor and Master Regulator of TGF-β–Driven Epithelial–Mesenchymal Transition. Cancer Discovery. 3(10). 1172–1189. 41 indexed citations
17.
Balasenthil, Seetharaman, Nanyue Chen, Steven T. Lott, et al.. (2010). A Migration Signature and Plasma Biomarker Panel for Pancreatic Adenocarcinoma. Cancer Prevention Research. 4(1). 137–149. 38 indexed citations
18.
Yang, Gong, Bin Chang, Fan Yang, et al.. (2010). Aurora Kinase A Promotes Ovarian Tumorigenesis through Dysregulation of the Cell Cycle and Suppression of BRCA2. Clinical Cancer Research. 16(12). 3171–3181. 111 indexed citations
19.
Torchia, Enrique C., Yiyun Chen, Hiroshi Katayama, et al.. (2009). A Genetic Variant of Aurora Kinase A Promotes Genomic Instability Leading to Highly Malignant Skin Tumors. Cancer Research. 69(18). 7207–7215. 29 indexed citations
20.
Sen, Subrata. (1990). Transfer of transposon Tn916 from Bacillus subtilis to Thermus aquaticus. FEMS Microbiology Letters. 67(1-2). 131–134. 22 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.

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