Vinay Varadan

3.5k total citations · 1 hit paper
69 papers, 1.8k citations indexed

About

Vinay Varadan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Vinay Varadan has authored 69 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Vinay Varadan's work include Cancer Genomics and Diagnostics (12 papers), Bioinformatics and Genomic Networks (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Vinay Varadan is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Bioinformatics and Genomic Networks (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Vinay Varadan collaborates with scholars based in United States, Canada and Finland. Vinay Varadan's co-authors include Dimitris Anastassiou, Henry Leung, Salendra Singh, John Watkinson, Hoon Kim, Anant Madabhushi, Niha Beig, Prateek Prasanna, Kaustav Bera and Lyndsay N. Harris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Vinay Varadan

66 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer

2019 235 citations Nathaniel Braman, Prateek Prasanna et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vinay Varadan United States	24	731	462	457	398	262	69	1.8k
Xiaobo Zhou United States	25	696 1.0×	258 0.6×	363 0.8×	294 0.7×	305 1.2×	50	1.6k
Jeanne Shen United States	19	919 1.3×	314 0.7×	775 1.7×	357 0.9×	433 1.7×	44	2.2k
Frank Krämer Germany	26	1.1k 1.5×	356 0.8×	457 1.0×	295 0.7×	259 1.0×	80	2.6k
Maurizio Di Bonito Italy	26	870 1.2×	372 0.8×	794 1.7×	736 1.8×	272 1.0×	82	2.0k
Zhen Zhang China	21	506 0.7×	425 0.9×	299 0.7×	240 0.6×	263 1.0×	109	1.6k
Yinyin Yuan United Kingdom	25	963 1.3×	537 1.2×	726 1.6×	544 1.4×	200 0.8×	67	2.3k
Elzbieta Slodkowska Canada	24	496 0.7×	703 1.5×	1.2k 2.6×	669 1.7×	315 1.2×	65	2.1k
Noah F. Greenwald United States	16	788 1.1×	138 0.3×	465 1.0×	425 1.1×	161 0.6×	29	1.9k
Michael Bockmayr Germany	21	394 0.5×	170 0.4×	649 1.4×	278 0.7×	280 1.1×	35	1.4k
Peter J. Schüffler Switzerland	16	1.1k 1.5×	268 0.6×	483 1.1×	273 0.7×	141 0.5×	49	2.2k

Countries citing papers authored by Vinay Varadan

Since Specialization

Citations

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

Fields of papers citing papers by Vinay Varadan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinay Varadan

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

All Works

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20 of 20 papers shown

Singh, Salendra, Amitabh Chak, David G. Beer, et al.. (2023). Discovery and Initial Characterization of Long Intergenic Noncoding RNAs Associated With Esophageal Adenocarcinoma. Gastroenterology. 165(2). 505–508.e7. 2 indexed citations

Baratchian, Mehdi, Ritika Tiwari, Sirvan Khalighi, et al.. (2022). H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer. Proceedings of the National Academy of Sciences. 119(21). e2114324119–e2114324119. 35 indexed citations

Joseph, Peronne, Salendra Singh, Adam Kresak, et al.. (2022). The Ephrin B2 Receptor Tyrosine Kinase Is a Regulator of Proto-oncogene MYC and Molecular Programs Central to Barrett’s Neoplasia. Gastroenterology. 163(5). 1228–1241. 12 indexed citations

Schrock, Morgan S., Darcie D. Seachrist, Stefanie Avril, et al.. (2020). LIN9 and NEK2 Are Core Regulators of Mitotic Fidelity That Can Be Therapeutically Targeted to Overcome Taxane Resistance. Cancer Research. 80(8). 1693–1706. 29 indexed citations

Beig, Niha, Kaustav Bera, Prateek Prasanna, et al.. (2020). Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma. Clinical Cancer Research. 26(8). 1866–1876. 92 indexed citations

Braman, Nathaniel, Mohammed El Adoui, Manasa Vulchi, et al.. (2020). Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.. Nature Communications. 2 indexed citations

Seachrist, Darcie D., Bryan M. Webb, Peng Yu, et al.. (2020). The transcriptional repressor BCL11A promotes breast cancer metastasis. Journal of Biological Chemistry. 295(33). 11707–11719. 20 indexed citations

Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →

Blum, Andrew E., Lakshmeswari Ravi, Adam Kresak, et al.. (2019). Systems Biology Analyses Show Hyperactivation of Transforming Growth Factor-β and JNK Signaling Pathways in Esophageal Cancer. Gastroenterology. 156(6). 1761–1774. 36 indexed citations

10.

Harbhajanka, Aparna, Kristy Miskimen, Paula Silverman, et al.. (2018). Clinicopathological, immunohistochemical and molecular correlation of neural crest transcription factor SOX10 expression in triple-negative breast carcinoma. Human Pathology. 80. 163–169. 27 indexed citations

11.

Blum, Andrew E., Yan Guo, Lakshmeswari Ravi, et al.. (2016). RNA Sequencing Identifies Transcriptionally Viable Gene Fusions in Esophageal Adenocarcinomas. Cancer Research. 76(19). 5628–5633. 20 indexed citations

12.

Varadan, Vinay, Hannah Gilmore, Kristy Miskimen, et al.. (2016). Immune Signatures Following Single Dose Trastuzumab Predict Pathologic Response to PreoperativeTrastuzumab and Chemotherapy in HER2-Positive Early Breast Cancer. Clinical Cancer Research. 22(13). 3249–3259. 75 indexed citations

13.

Varadan, Vinay, Sitharthan Kamalakaran, Hannah Gilmore, et al.. (2015). Brief‐exposure to preoperative bevacizumab reveals a TGF‐β signature predictive of response in HER2‐negative breast cancers. International Journal of Cancer. 138(3). 747–757. 14 indexed citations

14.

Varadan, Vinay, Salendra Singh, Arman Nosrati, et al.. (2015). ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients. Genome Medicine. 7(1). 69–69. 2 indexed citations

15.

Wrzeszczyński, Kazimierz O., Vinay Varadan, Sitharthan Kamalakaran, et al.. (2013). Integrative Prediction of Gene Function and Platinum-Free Survival from Genomic and Epigenetic Features in Ovarian Cancer. Methods in molecular biology. 1049. 35–51. 4 indexed citations

16.

Janevski, Angel, Vinay Varadan, Sitharthan Kamalakaran, Nilanjana Banerjee, & Nevenka Dimitrova. (2012). Effective normalization for copy number variation detection from whole genome sequencing. BMC Genomics. 13(Suppl 6). S16–S16. 15 indexed citations

17.

Wang, Shuyang, Lei Wang, Jian Li, et al.. (2012). A microRNA panel to discriminate carcinomas from high-grade intraepithelial neoplasms in colonoscopy biopsy tissue. Gut. 62(2). 280–289. 33 indexed citations

18.

Wrzeszczyński, Kazimierz O., Vinay Varadan, James R. Byrnes, et al.. (2011). Identification of Tumor Suppressors and Oncogenes from Genomic and Epigenetic Features in Ovarian Cancer. PLoS ONE. 6(12). e28503–e28503. 78 indexed citations

19.

Janevski, Angel, Sitharthan Kamalakaran, Nilanjana Banerjee, Vinay Varadan, & Nevenka Dimitrova. (2009). PAPAyA: a platform for breast cancer biomarker signature discovery, evaluation and assessment. BMC Bioinformatics. 10(S9). S7–S7. 4 indexed citations

20.

Varadan, Vinay & Dimitris Anastassiou. (2006). Inference of Disease-Related Molecular Logic from Systems-Based Microarray Analysis. PLoS Computational Biology. 2(6). e68–e68. 25 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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