Dimple Chakravarty

14.8k total citations
31 papers, 1.0k citations indexed

About

Dimple Chakravarty is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Dimple Chakravarty has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 14 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Dimple Chakravarty's work include Estrogen and related hormone effects (14 papers), Prostate Cancer Treatment and Research (6 papers) and HER2/EGFR in Cancer Research (4 papers). Dimple Chakravarty is often cited by papers focused on Estrogen and related hormone effects (14 papers), Prostate Cancer Treatment and Research (6 papers) and HER2/EGFR in Cancer Research (4 papers). Dimple Chakravarty collaborates with scholars based in United States, India and Germany. Dimple Chakravarty's co-authors include Francesca Demichelis, Mark A. Rubin, Ekta Khurana, Ratna K. Vadlamudi, Yao Fu, Mark Gerstein, Rajeshwar R. Tekmal, Sujit S. Nair, Binoj C. Nair and Ashutosh Tewari and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dimple Chakravarty

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dimple Chakravarty United States 16 603 343 298 270 139 31 1.0k
Ge Wu China 14 405 0.7× 145 0.4× 116 0.4× 154 0.6× 105 0.8× 37 882
Jean C. Tien United States 13 493 0.8× 202 0.6× 137 0.5× 217 0.8× 145 1.0× 23 734
Damien A. Leach United Kingdom 16 247 0.4× 108 0.3× 132 0.4× 147 0.5× 198 1.4× 32 588
Huihui Chen China 15 312 0.5× 97 0.3× 160 0.5× 182 0.7× 65 0.5× 43 626
JL Li China 14 476 0.8× 91 0.3× 263 0.9× 147 0.5× 41 0.3× 35 803
Jennifer H. Gunter Australia 17 482 0.8× 178 0.5× 242 0.8× 202 0.7× 222 1.6× 39 1.0k
Shalini Jindal Australia 9 223 0.4× 267 0.8× 236 0.8× 317 1.2× 233 1.7× 12 712
Sitharthan Kamalakaran United States 15 431 0.7× 162 0.5× 172 0.6× 246 0.9× 33 0.2× 25 761
Olaf Hellwinkel Germany 17 576 1.0× 249 0.7× 244 0.8× 221 0.8× 209 1.5× 37 1.1k

Countries citing papers authored by Dimple Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by Dimple Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimple Chakravarty

This figure shows the co-authorship network connecting the top 25 collaborators of Dimple Chakravarty. A scholar is included among the top collaborators of Dimple Chakravarty 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 Dimple Chakravarty. Dimple Chakravarty 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.
Reddy, C.A., Muhammad Hassan, Parag Jain, et al.. (2025). Artificial Intelligence–Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy. JCO Clinical Cancer Informatics. 9(9). e2400292–e2400292. 1 indexed citations
2.
Nair, Sujit S., Dimple Chakravarty, Vaibhav G. Patel, Nina Bhardwaj, & Ashutosh Tewari. (2023). Genitourinary cancer neoadjuvant therapies: current and future approaches. Trends in cancer. 9(12). 1041–1057. 9 indexed citations
3.
Dovey, Zachary, Sujit S. Nair, Dimple Chakravarty, & Ashutosh Tewari. (2021). Racial disparity in prostate cancer in the African American population with actionable ideas and novel immunotherapies. Cancer Reports. 4(5). e1340–e1340. 19 indexed citations
4.
Chakravarty, Dimple, Parita Ratnani, Nihal Mohamed, et al.. (2021). Impact of diverticular disease on prostate cancer risk among hypertensive men. Prostate Cancer and Prostatic Diseases. 25(4). 700–706. 3 indexed citations
5.
Nair, Sujit S., Dimple Chakravarty, Zachary Dovey, Xiangfu Zhang, & Ashutosh Tewari. (2021). Why do African–American men face higher risks for lethal prostate cancer?. Current Opinion in Urology. 32(1). 96–101. 9 indexed citations
6.
Chakravarty, Dimple, Sujit S. Nair, Parita Ratnani, et al.. (2020). Sex differences in SARS-CoV-2 infection rates and the potential link to prostate cancer. Communications Biology. 3(1). 374–374. 91 indexed citations
7.
Chakravarty, Dimple, Li Huang, Matthew Kahn, & Ashutosh Tewari. (2020). Immunotherapy for Metastatic Prostate Cancer: Current and Emerging Treatment Options. Urologic Clinics of North America. 47(4). 487–510. 11 indexed citations
8.
Dovey, Zachary, Nihal Mohamed, Parita Ratnani, et al.. (2020). Impact of COVID-19 on Prostate Cancer Management: Guidelines for Urologists. European Urology Open Science. 20. 1–11. 9 indexed citations
9.
Romanel, Alessandro, Sonia Garritano, Blerta Stringa, et al.. (2017). Inherited determinants of early recurrent somatic mutations in prostate cancer. Nature Communications. 8(1). 48–48. 23 indexed citations
10.
Khurana, Ekta, Yao Fu, Dimple Chakravarty, et al.. (2016). Role of non-coding sequence variants in cancer. Nature Reviews Genetics. 17(2). 93–108. 315 indexed citations
11.
Roy, Sudipa Saha, Dimple Chakravarty, Valerie Cortez, et al.. (2011). Significance of PELP1 in ER-Negative Breast Cancer Metastasis. Molecular Cancer Research. 10(1). 25–33. 36 indexed citations
12.
Banerjee, Samprit, et al.. (2011). A Computational Framework Discovers New Copy Number Variants with Functional Importance. PLoS ONE. 6(3). e17539–e17539. 13 indexed citations
13.
Nair, Binoj C., Sujit S. Nair, Dimple Chakravarty, et al.. (2010). Cyclin-Dependent Kinase–Mediated Phosphorylation Plays a Critical Role in the Oncogenic Functions of PELP1. Cancer Research. 70(18). 7166–7175. 35 indexed citations
14.
Vallabhaneni, Sreeram, Binoj C. Nair, Valerie Cortez, et al.. (2010). Significance of ER–Src axis in hormonal therapy resistance. Breast Cancer Research and Treatment. 130(2). 377–385. 62 indexed citations
15.
Chakravarty, Dimple, Rajeshwar R. Tekmal, & Ratna K. Vadlamudi. (2009). PELP1: A novel therapeutic target for hormonal cancers. IUBMB Life. 62(3). 162–169. 28 indexed citations
16.
Vadlamudi, Ratna K., Dimple Chakravarty, Binoj C. Nair, et al.. (2009). Regulation of aromatase induction by nuclear receptor coregulator PELP1. The Journal of Steroid Biochemistry and Molecular Biology. 118(4-5). 211–218. 16 indexed citations
18.
Chakravarty, Dimple, Radhika Srinivasan, Sujata Ghosh, Arvind Rajwanshi, & Sarala Gopalan. (2008). Estrogen Receptor Beta (ERβ) in Endometrial Simple Hyperplasia and Endometrioid Carcinoma. Applied immunohistochemistry & molecular morphology. 16(6). 535–542. 10 indexed citations
19.
Chakravarty, Dimple, Radhika Srinivasan, Sonali Ghosh, et al.. (2007). Estrogen receptor ?1 and the ?2/?cx isoforms in nonneoplastic endometrium and in endometrioid carcinoma. International Journal of Gynecological Cancer. 17(4). 905–913. 24 indexed citations
20.
Chakravarty, Dimple. (1957). A Palaeontological and Phylogenetic study of the Elephantoidae of India, Pakistan and Burma: Part I. Gomphotheriidae. SHILAP Revista de lepidopterología. 2(1). 83–94. 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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