Vineet K. Dhiman

653 total citations
8 papers, 274 citations indexed

About

Vineet K. Dhiman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Vineet K. Dhiman has authored 8 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Rheumatology. Recurrent topics in Vineet K. Dhiman's work include Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (5 papers) and Prostate Cancer Treatment and Research (2 papers). Vineet K. Dhiman is often cited by papers focused on Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (5 papers) and Prostate Cancer Treatment and Research (2 papers). Vineet K. Dhiman collaborates with scholars based in United States and United Kingdom. Vineet K. Dhiman's co-authors include Kevin P. White, Michael J. Bolt, Dominic J. Smiraglia, Moray J. Campbell, Tonya M. Brunetti, Yuwen Liu, Shan Yu, Heather Eckart, Kristopher Attwood and Craig Doig and has published in prestigious journals such as Nature Reviews Genetics, Scientific Reports and Genome biology.

In The Last Decade

Vineet K. Dhiman

8 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vineet K. Dhiman United States 7 193 55 52 33 33 8 274
Oraly Sanchez-Ferras Canada 6 242 1.3× 56 1.0× 39 0.8× 12 0.4× 20 0.6× 6 365
Miriam Ferrer United States 10 219 1.1× 40 0.7× 71 1.4× 10 0.3× 54 1.6× 14 306
Marianne L. T. van der Sterre Netherlands 10 194 1.0× 43 0.8× 108 2.1× 22 0.7× 43 1.3× 11 280
Ira P. Maine United States 8 276 1.4× 36 0.7× 76 1.5× 17 0.5× 41 1.2× 10 382
Tarryn Willmer South Africa 10 200 1.0× 49 0.9× 50 1.0× 11 0.3× 47 1.4× 18 300
Laura Burdett United States 9 186 1.0× 107 1.9× 75 1.4× 35 1.1× 50 1.5× 16 330
David Mossman Australia 11 225 1.2× 97 1.8× 68 1.3× 41 1.2× 72 2.2× 17 342
Kanur Srinivasan United States 6 324 1.7× 71 1.3× 33 0.6× 20 0.6× 68 2.1× 7 392
Ivana Grbeša Croatia 10 170 0.9× 29 0.5× 75 1.4× 11 0.3× 44 1.3× 16 267
Allison Marion France 6 283 1.5× 19 0.3× 55 1.1× 19 0.6× 42 1.3× 9 393

Countries citing papers authored by Vineet K. Dhiman

Since Specialization
Citations

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

Fields of papers citing papers by Vineet K. Dhiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vineet K. Dhiman. 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 Vineet K. Dhiman. The network helps show where Vineet K. Dhiman may publish in the future.

Co-authorship network of co-authors of Vineet K. Dhiman

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

All Works

8 of 8 papers shown
1.
Long, Mark D., Vineet K. Dhiman, Hayley C. Affronti, et al.. (2021). Dynamic patterns of DNA methylation in the normal prostate epithelial differentiation program are targets of aberrant methylation in prostate cancer. Scientific Reports. 11(1). 11405–11405. 4 indexed citations
2.
Dhiman, Vineet K., Michael J. Bolt, & Kevin P. White. (2017). Nuclear receptors in cancer — uncovering new and evolving roles through genomic analysis. Nature Reviews Genetics. 19(3). 160–174. 66 indexed citations
3.
Liu, Yuwen, Shan Yu, Vineet K. Dhiman, et al.. (2017). Functional assessment of human enhancer activities using whole-genome STARR-sequencing. Genome biology. 18(1). 219–219. 73 indexed citations
4.
Mester, Jessica L., et al.. (2015). KLLN epigenotype–phenotype associations in Cowden syndrome. European Journal of Human Genetics. 23(11). 1538–1543. 12 indexed citations
5.
Dhiman, Vineet K., Kristopher Attwood, Moray J. Campbell, & Dominic J. Smiraglia. (2015). Hormone stimulation of androgen receptor mediates dynamic changes in DNA methylation patterns at regulatory elements. Oncotarget. 6(40). 42575–42589. 26 indexed citations
6.
Singh, Prashant Kumar, Craig Doig, Vineet K. Dhiman, et al.. (2012). Epigenetic distortion to VDR transcriptional regulation in prostate cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 136. 258–263. 13 indexed citations
7.
Doig, Craig, Priyanka Singh, Vineet K. Dhiman, et al.. (2012). Recruitment of NCOR1 to VDR target genes is enhanced in prostate cancer cells and associates with altered DNA methylation patterns. Carcinogenesis. 34(2). 248–256. 45 indexed citations
8.
Bistulfi, Gaia, Barbara A. Foster, Ellen Karasik, et al.. (2011). Dietary Folate Deficiency Blocks Prostate Cancer Progression in the TRAMP Model. Cancer Prevention Research. 4(11). 1825–1834. 35 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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