Ramesh Narayanan

3.6k total citations
84 papers, 2.7k citations indexed

About

Ramesh Narayanan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Ramesh Narayanan has authored 84 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Pulmonary and Respiratory Medicine and 26 papers in Genetics. Recurrent topics in Ramesh Narayanan's work include Estrogen and related hormone effects (25 papers), Prostate Cancer Treatment and Research (23 papers) and Hormonal and reproductive studies (17 papers). Ramesh Narayanan is often cited by papers focused on Estrogen and related hormone effects (25 papers), Prostate Cancer Treatment and Research (23 papers) and Hormonal and reproductive studies (17 papers). Ramesh Narayanan collaborates with scholars based in United States, United Kingdom and China. Ramesh Narayanan's co-authors include James T. Dalton, Duane D. Miller, Christopher C. Coss, Nancy L. Weigel, Michael L. Mohler, Dong‐Jin Hwang, Suriyan Ponnusamy, Yali He, Dean P. Edwards and Muralimohan Yepuru and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Ramesh Narayanan

82 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramesh Narayanan United States 31 1.2k 740 703 699 476 84 2.7k
D M Peehl United States 23 1.3k 1.1× 740 1.0× 826 1.2× 548 0.8× 471 1.0× 33 3.0k
Marina Montagnani Marelli Italy 30 1.0k 0.8× 361 0.5× 399 0.6× 564 0.8× 507 1.1× 75 2.6k
Alice C. Levine United States 33 1.5k 1.2× 602 0.8× 814 1.2× 936 1.3× 595 1.3× 79 3.9k
Hans Adomat Canada 27 1.5k 1.2× 535 0.7× 1.2k 1.7× 399 0.6× 461 1.0× 94 3.1k
Cynthia Heinlein United States 13 1.8k 1.4× 875 1.2× 1.4k 1.9× 942 1.3× 377 0.8× 19 3.6k
Christopher C. Coss United States 20 782 0.6× 423 0.6× 332 0.5× 289 0.4× 263 0.6× 66 1.5k
Paul Foster United Kingdom 34 1.0k 0.8× 378 0.5× 211 0.3× 886 1.3× 307 0.6× 101 3.3k
Michał Bieńkowski Poland 24 1.2k 1.0× 293 0.4× 292 0.4× 260 0.4× 322 0.7× 80 2.3k
Donald P. Cameron Australia 34 1.6k 1.3× 722 1.0× 233 0.3× 492 0.7× 698 1.5× 98 3.7k
Ching‐yi Chang United States 37 2.5k 2.0× 560 0.8× 710 1.0× 1.8k 2.6× 785 1.6× 69 4.8k

Countries citing papers authored by Ramesh Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Ramesh Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramesh Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Narayanan. A scholar is included among the top collaborators of Ramesh Narayanan 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 Ramesh Narayanan. Ramesh Narayanan 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
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Khan, Farhan, Gary Price, Daniel L. Johnson, et al.. (2023). Racial Differences in Androgen Receptor (AR) and AR Splice Variants (AR-SVs) Expression in Treatment-Naïve Androgen-Dependent Prostate Cancer. Biomedicines. 11(3). 648–648. 1 indexed citations
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Li, Ling, et al.. (2022). Reciprocal interplay between OTULIN–LUBAC determines genotoxic and inflammatory NF-κB signal responses. Proceedings of the National Academy of Sciences. 119(33). e2123097119–e2123097119. 13 indexed citations
6.
Xiu, Joanne, et al.. (2021). Expression of androgen receptor splice variant, AR-V7, in high-grade serous ovarian cancer. Gynecologic Oncology. 162. S157–S158. 1 indexed citations
7.
Ponnusamy, Suriyan, et al.. (2020). Integrin-Linked Kinase Is a Novel Therapeutic Target in Ovarian Cancer. Journal of Personalized Medicine. 10(4). 246–246. 4 indexed citations
8.
Ponnusamy, Suriyan, Yali He, Dong‐Jin Hwang, et al.. (2019). Orally Bioavailable Androgen Receptor Degrader, Potential Next-Generation Therapeutic for Enzalutamide-Resistant Prostate Cancer. Clinical Cancer Research. 25(22). 6764–6780. 60 indexed citations
9.
Ponnusamy, Suriyan, Christopher C. Coss, Thirumagal Thiyagarajan, et al.. (2017). Novel Selective Agents for the Degradation of Androgen Receptor Variants to Treat Castration-Resistant Prostate Cancer. Cancer Research. 77(22). 6282–6298. 70 indexed citations
10.
Narayanan, Ramesh, Christopher C. Coss, & James T. Dalton. (2017). Development of selective androgen receptor modulators (SARMs). Molecular and Cellular Endocrinology. 465. 134–142. 169 indexed citations
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Pedram, Ali, Mahnaz Razandi, Ramesh Narayanan, & Ellis R. Levin. (2016). Estrogen receptor beta signals to inhibition of cardiac fibrosis. Molecular and Cellular Endocrinology. 434. 57–68. 43 indexed citations
13.
Narayanan, Ramesh, Sunjoo Ahn, Muralimohan Yepuru, et al.. (2014). Selective Androgen Receptor Modulators (SARMs) Negatively Regulate Triple-Negative Breast Cancer Growth and Epithelial:Mesenchymal Stem Cell Signaling. PLoS ONE. 9(7). e103202–e103202. 47 indexed citations
14.
Yepuru, Muralimohan, Zhongzhi Wu, Anand Kulkarni, et al.. (2013). Steroidogenic Enzyme AKR1C3 Is a Novel Androgen Receptor-Selective Coactivator that Promotes Prostate Cancer Growth. Clinical Cancer Research. 19(20). 5613–5625. 102 indexed citations
15.
Swanson, Hollie I., Taira Wada, Wen Xie, et al.. (2012). Role of Nuclear Receptors in Lipid Dysfunction and Obesity-Related Diseases. Drug Metabolism and Disposition. 41(1). 1–11. 36 indexed citations
16.
Narayanan, Ramesh, Jinmai Jiang, Yuriy Gusev, et al.. (2010). MicroRNAs Are Mediators of Androgen Action in Prostate and Muscle. PLoS ONE. 5(10). e13637–e13637. 49 indexed citations
17.
Li, Chien-Ming, Yan Lü, Ramesh Narayanan, Duane D. Miller, & James T. Dalton. (2010). Drug Metabolism and Pharmacokinetics of 4-Substituted Methoxybenzoyl-aryl-thiazoles. Drug Metabolism and Disposition. 38(11). 2032–2039. 16 indexed citations
18.
Narayanan, Ramesh, Dean P. Edwards, & Nancy L. Weigel. (2005). Human Progesterone Receptor Displays Cell Cycle-Dependent Changes in Transcriptional Activity. Molecular and Cellular Biology. 25(8). 2885–2898. 56 indexed citations
19.
Juroske, Denise M., Shailaja Kalyankrishna, Dianna D. Cody, et al.. (2005). c-Jun N-Terminal Kinase Contributes to Aberrant Retinoid Signaling in Lung Cancer Cells by Phosphorylating and Inducing Proteasomal Degradation of Retinoic Acid Receptor α. Molecular and Cellular Biology. 25(3). 1054–1069. 54 indexed citations
20.
Narayanan, Ramesh, Matthew R. Allen, Dana Gaddy, et al.. (2004). Differential skeletal responses of hindlimb unloaded rats on a vitamin D-deficient diet to 1,25-dihydroxyvitamin D3 and its analog, seocalcitol (EB1089). Bone. 35(1). 134–143. 13 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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