Dipankar Ray

2.3k total citations
102 papers, 1.7k citations indexed

About

Dipankar Ray is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Oncology. According to data from OpenAlex, Dipankar Ray has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Nuclear and High Energy Physics and 23 papers in Oncology. Recurrent topics in Dipankar Ray's work include Black Holes and Theoretical Physics (22 papers), Cosmology and Gravitation Theories (16 papers) and Cancer-related Molecular Pathways (15 papers). Dipankar Ray is often cited by papers focused on Black Holes and Theoretical Physics (22 papers), Cosmology and Gravitation Theories (16 papers) and Cancer-related Molecular Pathways (15 papers). Dipankar Ray collaborates with scholars based in United States, India and United Kingdom. Dipankar Ray's co-authors include Hiroaki Kiyokawa, Theodore S. Lawrence, Mukesh K. Nyati, Xianghong Zou, Konstantin Christov, Alnawaz Rehemtulla, Aarif Ahsan, Evan C. Osmundson, Yasuhisa Terao and David G. Beer and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Dipankar Ray

92 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipankar Ray United States 25 1000 548 234 217 197 102 1.7k
Kenji Hamada Japan 24 1.1k 1.1× 262 0.5× 253 1.1× 165 0.8× 388 2.0× 106 2.4k
Christoph Schaab Germany 20 1.7k 1.7× 344 0.6× 218 0.9× 301 1.4× 129 0.7× 32 2.6k
Manabu Kawada Japan 28 1.5k 1.5× 891 1.6× 308 1.3× 230 1.1× 409 2.1× 207 3.2k
Yasumitsu Kondoh Japan 22 1.3k 1.3× 204 0.4× 107 0.5× 166 0.8× 485 2.5× 96 2.1k
Catherine Lacombe France 36 2.3k 2.3× 872 1.6× 262 1.1× 161 0.7× 388 2.0× 77 4.7k
Yasuhiro Kuramitsu Japan 33 1.8k 1.8× 637 1.2× 252 1.1× 444 2.0× 550 2.8× 217 4.0k
Alex Lyakhovich Russia 25 1.1k 1.1× 357 0.7× 94 0.4× 98 0.5× 388 2.0× 71 1.7k
C. Lacombe France 34 1.3k 1.3× 538 1.0× 252 1.1× 76 0.4× 254 1.3× 121 4.0k
María Rodríguez Martínez Switzerland 24 1.5k 1.5× 401 0.7× 221 0.9× 38 0.2× 500 2.5× 66 2.6k
M. Montani Switzerland 16 746 0.7× 220 0.4× 421 1.8× 168 0.8× 357 1.8× 28 1.4k

Countries citing papers authored by Dipankar Ray

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Ray. A scholar is included among the top collaborators of Dipankar Ray 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 Dipankar Ray. Dipankar Ray 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.
Ray, Paramita, Shirish Shukla, Yaqing Zhang, et al.. (2025). SMURF2 Facilitates GAP17 Isoform 1 Membrane Displacement to Promote Mutant p53–KRAS Oncogenic Synergy. Molecular Cancer Research. 23(6). 530–541.
2.
Ray, Paramita, Sangeeta Jaiswal, Daysha Ferrer-Torres, et al.. (2024). GRAIL1 Stabilizes Misfolded Mutant p53 through a Ubiquitin Ligase-Independent, Chaperone Regulatory Function. Molecular Cancer Research. 22(11). 996–1010.
3.
McEwen, Dyke P., Paramita Ray, Derek J. Nancarrow, et al.. (2024). ISG15/GRAIL1/CD3 axis influences survival of patients with esophageal adenocarcinoma. JCI Insight. 9(13). 2 indexed citations
4.
Nancarrow, Derek J., et al.. (2024). Isoform alterations in the ubiquitination machinery impacting gastrointestinal malignancies. Cell Death and Disease. 15(3). 194–194. 1 indexed citations
5.
Hartvigsen, Thomas, Saadia Gabriel, Hamid Palangi, et al.. (2022). ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3309–3326. 2 indexed citations
6.
Huang, Wei, Paramita Ray, Wenbin Ji, et al.. (2020). The cytochrome P450 enzyme CYP24A1 increases proliferation of mutant KRAS-dependent lung adenocarcinoma independent of its catalytic activity. Journal of Biological Chemistry. 295(18). 5906–5917. 6 indexed citations
7.
Cousins, Matthew M., Theresa P. Devasia, David Karnak, et al.. (2020). TNFR1 and the TNFα axis as a targetable mediator of liver injury from stereotactic body radiation therapy. Translational Oncology. 14(1). 100950–100950. 14 indexed citations
8.
Ray, Dipankar, Paramita Ray, Daysha Ferrer-Torres, et al.. (2019). Isoforms of RNF128 Regulate the Stability of Mutant P53 in Barrett's Esophageal Cells. Gastroenterology. 158(3). 583–597.e1. 20 indexed citations
9.
Luo, Yi, Issam El Naqa, Daniel L. McShan, et al.. (2017). Unraveling biophysical interactions of radiation pneumonitis in non-small-cell lung cancer via Bayesian network analysis. Radiotherapy and Oncology. 123(1). 85–92. 41 indexed citations
10.
Shiratsuchi, Hiroe, Zhuwen Wang, Guoan Chen, et al.. (2016). Oncogenic Potential of CYP24A1 in Lung Adenocarcinoma. Journal of Thoracic Oncology. 12(2). 269–280. 29 indexed citations
11.
Shukla, Shirish, Uday Sankar Allam, Aarif Ahsan, et al.. (2014). KRAS Protein Stability Is Regulated through SMURF2: UBCH5 Complex-Mediated β-TrCP1 Degradation. Neoplasia. 16(2). 115–W5. 78 indexed citations
12.
Ray, Dipankar, Shirish Shukla, Uday Sankar Allam, et al.. (2013). Tristetraprolin Mediates Radiation-Induced TNF-α Production in Lung Macrophages. PLoS ONE. 8(2). e57290–e57290. 12 indexed citations
13.
Nyati, Shyam, et al.. (2011). Molecular Imaging of TGFβ-Induced Smad2/3 Phosphorylation Reveals a Role for Receptor Tyrosine Kinases in Modulating TGFβ Signaling. Clinical Cancer Research. 17(23). 7424–7439. 37 indexed citations
14.
Ray, Dipankar, Yasuhisa Terao, Konstantin Christov, Philipp Kaldis, & Hiroaki Kiyokawa. (2011). Cdk2-Null Mice Are Resistant to ErbB-2-Induced Mammary Tumorigenesis. Neoplasia. 13(5). 439–444. 23 indexed citations
15.
Moore, Finola E., Evan C. Osmundson, Jennifer E. Koblinski, et al.. (2010). The WW-HECT protein Smurf2 interacts with the Docking Protein NEDD9/HEF1 for Aurora A activation. Cell Division. 5(1). 22–22. 19 indexed citations
16.
Ray, Dipankar & Hiroaki Kiyokawa. (2008). CDC25A Phosphatase: a Rate-Limiting Oncogene That Determines Genomic Stability. Cancer Research. 68(5). 1251–1253. 66 indexed citations
17.
Ray, Dipankar, Yasuhisa Terao, Hiroyuki Hirai, et al.. (2007). Hemizygous Disruption of Cdc25A Inhibits Cellular Transformation and Mammary Tumorigenesis in Mice. Cancer Research. 67(14). 6605–6611. 63 indexed citations
18.
Ray, Dipankar, Yasuhisa Terao, Francesco J. DeMayo, et al.. (2007). Deregulated CDC25A Expression Promotes Mammary Tumorigenesis with Genomic Instability. Cancer Research. 67(3). 984–991. 55 indexed citations
19.
Sarma, Koushik Das, et al.. (2000). Improved sensitivity of trypan blue dye exclusion assay with Ni2+ or Co2+ salts. Cytotechnology. 32(2). 93–95. 12 indexed citations
20.
Ray, Dipankar. (1981). Comment on "Exact differential renormalization of the Ising model at criticality". Physical review. B, Condensed matter. 24(1). 473–474. 1 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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