Varune Rohan Ramnarine

2.1k total citations
16 papers, 1.1k citations indexed

About

Varune Rohan Ramnarine is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Varune Rohan Ramnarine has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Varune Rohan Ramnarine's work include Prostate Cancer Treatment and Research (7 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer Genomics and Diagnostics (4 papers). Varune Rohan Ramnarine is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer Genomics and Diagnostics (4 papers). Varune Rohan Ramnarine collaborates with scholars based in Canada, United States and United Kingdom. Varune Rohan Ramnarine's co-authors include Wan L. Lam, Stephen Lam, Larissa A. Pikor, Colin C. Collins, Igor Jurišica, Elai Davicioni, Melania Pintilie, Chang‐Qi Zhu, Ming‐Sound Tsao and Frances A. Shepherd and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Varune Rohan Ramnarine

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varune Rohan Ramnarine Canada 12 632 477 437 350 59 16 1.1k
Yuho Maki Japan 17 633 1.0× 394 0.8× 391 0.9× 382 1.1× 68 1.2× 50 1.0k
Alma D. Campos-Parra Mexico 23 761 1.2× 703 1.5× 441 1.0× 420 1.2× 67 1.1× 45 1.3k
Lucy Gossage United Kingdom 10 866 1.4× 526 1.1× 418 1.0× 258 0.7× 102 1.7× 12 1.2k
Xin-Ran Tang China 19 605 1.0× 424 0.9× 259 0.6× 306 0.9× 98 1.7× 34 1.0k
Maurizia Mello‐Grand Italy 17 710 1.1× 373 0.8× 285 0.7× 266 0.8× 50 0.8× 28 1.0k
Andreas Varkaris United States 17 393 0.6× 253 0.5× 327 0.7× 331 0.9× 36 0.6× 46 836
Alexandra Voutsina Greece 17 491 0.8× 410 0.9× 624 1.4× 682 1.9× 70 1.2× 31 1.2k
Nadia Barraco Italy 19 402 0.6× 332 0.7× 337 0.8× 495 1.4× 48 0.8× 45 1.0k
Ruochuan Zang China 17 410 0.6× 277 0.6× 329 0.8× 413 1.2× 69 1.2× 38 870
François Ringeisen France 14 517 0.8× 175 0.4× 305 0.7× 373 1.1× 85 1.4× 33 899

Countries citing papers authored by Varune Rohan Ramnarine

Since Specialization
Citations

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

Fields of papers citing papers by Varune Rohan Ramnarine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Varune Rohan Ramnarine. 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 Varune Rohan Ramnarine. The network helps show where Varune Rohan Ramnarine may publish in the future.

Co-authorship network of co-authors of Varune Rohan Ramnarine

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

All Works

16 of 16 papers shown
1.
Ma, Yuling, Xanthi-Lida Katopodi, Dimitra Karagkouni, et al.. (2024). Determinants of gastric cancer immune escape identified from non-coding immune-landscape quantitative trait loci. Nature Communications. 15(1). 4319–4319. 5 indexed citations
2.
Nouri, Mannan, Josselin Caradec, Amy A. Lubik, et al.. (2020). Transient Sox9 Expression Facilitates Resistance to Androgen-Targeted Therapy in Prostate Cancer. Clinical Cancer Research. 26(7). 1678–1689. 29 indexed citations
3.
Feng, Ye, Varune Rohan Ramnarine, Robert H. Bell, et al.. (2019). Metagenomic and metatranscriptomic analysis of human prostate microbiota from patients with prostate cancer. BMC Genomics. 20(1). 146–146. 101 indexed citations
4.
Ramnarine, Varune Rohan, Maxim Kobelev, Ewan A. Gibb, et al.. (2019). The evolution of long noncoding RNA acceptance in prostate cancer initiation, progression, and its clinical utility in disease management. European Urology. 76(5). 546–559. 82 indexed citations
5.
Alshalalfa, Mohammed, Yang Liu, Alexander W. Wyatt, et al.. (2019). Characterization of transcriptomic signature of primary prostate cancer analogous to prostatic small cell neuroendocrine carcinoma. International Journal of Cancer. 145(12). 3453–3461. 15 indexed citations
6.
Gawronski, Alexander, Michaël Uhl, Yajia Zhang, et al.. (2018). MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions. Bioinformatics. 34(18). 3101–3110. 43 indexed citations
7.
Tokár, Tomáš, Chiara Pastrello, Varune Rohan Ramnarine, et al.. (2018). Differentially expressed microRNAs in lung adenocarcinoma invert effects of copy number aberrations of prognostic genes. Oncotarget. 9(10). 9137–9155. 8 indexed citations
8.
Lee, Ahn R., et al.. (2018). Alternative RNA splicing of the GIT1 gene is associated with neuroendocrine prostate cancer. Cancer Science. 110(1). 245–255. 15 indexed citations
9.
Parolia, Abhijit, Francesco Crea, Hui Xue, et al.. (2015). The long non-coding RNA PCGEM1 is regulated by androgen receptor activity in vivo. Molecular Cancer. 14(1). 46–46. 73 indexed citations
10.
Berlín, Alejandro, Emilie Lalonde, Gaetano Zafarana, et al.. (2014). Using NBN to predict biochemical relapse following image-guided radiotherapy (IGRT) for intermediate-risk prostate cancer (IR-PCa).. Journal of Clinical Oncology. 32(4_suppl). 26–26. 1 indexed citations
11.
Berlín, Alejandro, Emilie Lalonde, Jenna Sykes, et al.. (2014). NBNgain is predictive for adverse outcome following image-guided radiotherapy for localized prostate cancer. Oncotarget. 5(22). 11081–11090. 28 indexed citations
12.
Pikor, Larissa A., Varune Rohan Ramnarine, Stephen Lam, & Wan L. Lam. (2013). Genetic alterations defining NSCLC subtypes and their therapeutic implications. Lung Cancer. 82(2). 179–189. 267 indexed citations
13.
Zafarana, Gaetano, Adrian Ishkanian, Chad A. Malloff, et al.. (2012). Copy number alterations of c‐MYC and PTEN are prognostic factors for relapse after prostate cancer radiotherapy. Cancer. 118(16). 4053–4062. 92 indexed citations
14.
Locke, Jennifer A., Gaetano Zafarana, Adrian Ishkanian, et al.. (2011). NKX3.1 Haploinsufficiency Is Prognostic for Prostate Cancer Relapse following Surgery or Image-Guided Radiotherapy. Clinical Cancer Research. 18(1). 308–316. 32 indexed citations
15.
Locke, Jennifer A., Gaetano Zafarana, Chad A. Malloff, et al.. (2011). Allelic loss of the loci containing the androgen synthesis gene, StAR, is prognostic for relapse in intermediate‐risk prostate cancer. The Prostate. 72(12). 1295–1305. 6 indexed citations
16.
Navab, Roya, Dan Strumpf, Bizhan Bandarchi, et al.. (2011). Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer. Proceedings of the National Academy of Sciences. 108(17). 7160–7165. 293 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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