Venkat Sankar

484 total citations
4 papers, 266 citations indexed

About

Venkat Sankar is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Venkat Sankar has authored 4 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Venkat Sankar's work include Cancer Genomics and Diagnostics (3 papers), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). Venkat Sankar is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). Venkat Sankar collaborates with scholars based in United States, Germany and United Kingdom. Venkat Sankar's co-authors include Vinay K. Kartha, Kevin Meli, Santiago Naranjo, Zachary Chiang, Fabiana M. Duarte, Haley Hauck, Peter M.K. Westcott, Jason D. Buenrostro, Aviv Regev and Tyler Jacks and has published in prestigious journals such as Nature, Cancer Cell and Cell Reports.

In The Last Decade

Venkat Sankar

4 papers receiving 264 citations

Peers

Venkat Sankar
Iva Salamon United States
Sarah Waye United States
In‐Young Hwang South Korea
Krishna Luitel United States
Gretchen M. Alicea United States
Marc Wiedner Austria
Iva Salamon United States
Venkat Sankar
Citations per year, relative to Venkat Sankar Venkat Sankar (= 1×) peers Iva Salamon

Countries citing papers authored by Venkat Sankar

Since Specialization
Citations

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

Fields of papers citing papers by Venkat Sankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Venkat Sankar

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

All Works

4 of 4 papers shown
1.
Sankar, Venkat, King L. Hung, Aditi Gnanasekar, et al.. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. 649(8095). 152–160. 1 indexed citations
2.
LaFave, Lindsay M., Vinay K. Kartha, Sai Ma, et al.. (2020). Epigenomic State Transitions Characterize Tumor Progression in Mouse Lung Adenocarcinoma. Cancer Cell. 38(2). 212–228.e13. 133 indexed citations
3.
Kensler, Kevin H., Venkat Sankar, Jun Wang, et al.. (2018). PAM50 Molecular Intrinsic Subtypes in the Nurses' Health Study Cohorts. Cancer Epidemiology Biomarkers & Prevention. 28(4). 798–806. 37 indexed citations
4.
Wapinski, Orly L., Qian Yi Lee, Albert C. Chen, et al.. (2017). Rapid Chromatin Switch in the Direct Reprogramming of Fibroblasts to Neurons. Cell Reports. 20(13). 3236–3247. 95 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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