Charles Vaske

19.5k total citations · 2 hit papers
39 papers, 1.6k citations indexed

About

Charles Vaske is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Charles Vaske has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Charles Vaske's work include Cancer Genomics and Diagnostics (16 papers), Bioinformatics and Genomic Networks (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Charles Vaske is often cited by papers focused on Cancer Genomics and Diagnostics (16 papers), Bioinformatics and Genomic Networks (7 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Charles Vaske collaborates with scholars based in United States, Singapore and United Kingdom. Charles Vaske's co-authors include Stephen C. Benz, Joshua M. Stuart, Zack Sanborn, David Haussler, Christopher Szeto, Jingchun Zhu, Dent Earl, Bryan Frank, Norman H. Lee and Truong Luu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Charles Vaske

37 papers receiving 1.6k 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.

Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM

2010 527 citations Charles Vaske, Stephen C. Benz et al. Bioinformatics profile →
The UCSC Genome Browser database: 2025 update

2024 113 citations Galt P Barber, Anna Benet‐Pagès et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Vaske United States	17	1.1k	421	318	155	133	39	1.6k
Päivi Östling Finland	22	1.4k 1.2×	689 1.6×	361 1.1×	240 1.5×	86 0.6×	44	2.0k
Wenyang Zhou China	21	988 0.9×	374 0.9×	126 0.4×	76 0.5×	85 0.6×	72	1.5k
Andreas Schlicker Germany	21	1.4k 1.3×	422 1.0×	778 2.4×	237 1.5×	98 0.7×	35	2.2k
Naoki Kimura Japan	21	1.6k 1.4×	263 0.6×	298 0.9×	128 0.8×	194 1.5×	65	2.5k
Monika Ray United States	7	1.3k 1.2×	196 0.5×	183 0.6×	80 0.5×	192 1.4×	21	1.8k
James F. Reid Italy	19	1.3k 1.2×	498 1.2×	325 1.0×	117 0.8×	168 1.3×	37	1.7k
Esther Schmidt Germany	20	1.9k 1.7×	562 1.3×	843 2.7×	193 1.2×	219 1.6×	31	2.8k
Dawn A. D. Chasse United States	6	1.8k 1.6×	540 1.3×	688 2.2×	305 2.0×	152 1.1×	10	2.3k
Kristian Gray United Kingdom	9	1.1k 1.0×	292 0.7×	132 0.4×	85 0.5×	280 2.1×	11	1.5k
Julhash U. Kazi Sweden	26	1.1k 1.0×	241 0.6×	514 1.6×	161 1.0×	85 0.6×	85	2.1k

Countries citing papers authored by Charles Vaske

Since Specialization

Citations

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

Fields of papers citing papers by Charles Vaske

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Vaske

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Vaske. A scholar is included among the top collaborators of Charles Vaske 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 Charles Vaske. Charles Vaske 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

Barber, Galt P, Anna Benet‐Pagès, Jonathan D. Casper, et al.. (2024). The UCSC Genome Browser database: 2025 update. Nucleic Acids Research. 53(D1). D1243–D1249. 113 indexed citations breakdown →

Cisneros, Luis, Charles Vaske, & Kimberly J. Bussey. (2022). Identification of a signature of evolutionarily conserved stress-induced mutagenesis in cancer. Frontiers in Genetics. 13. 932763–932763. 2 indexed citations

Song, Bing, Clive R. Taylor, Charles Vaske, et al.. (2020). A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival. Breast Cancer Research. 22(1). 12–12. 75 indexed citations

Soon‐Shiong, Patrick, et al.. (2019). Deep Learning Implicitly Handles Tissue Specific Phenomena to Predict Tumor DNA Accessibility and Immune Activity. iScience. 20. 119–136. 6 indexed citations

Vodala, Sadanand, Andrew Nguyen, Noé Rodríguez‐Rodríguez, et al.. (2019). TCR repertoire analysis from peripheral blood for prognostic assessment of patients during treatment.. Journal of Clinical Oncology. 37(15_suppl). e14040–e14040.

Harirchian, Paymann, Jerry Lee, Stephanie Hilz, et al.. (2018). A20 and ABIN1 Suppression of a Keratinocyte Inflammatory Program with a Shared Single-Cell Expression Signature in Diverse Human Rashes. Journal of Investigative Dermatology. 139(6). 1264–1273. 16 indexed citations

Sirohi, Deepika, Charles Vaske, Zack Sanborn, et al.. (2018). Polyoma virus-associated carcinomas of the urologic tract: a clinicopathologic and molecular study. Modern Pathology. 31(9). 1429–1441. 24 indexed citations

Thyparambil, Sheeno, Yeoun Jin Kim, Andrew G. Chambers, et al.. (2018). Abstract 778: Potential drug targets for adenoid cystic carcinoma elucidated by proteogenomic analysis. Cancer Research. 78(13_Supplement). 778–778. 2 indexed citations

Schwartz, Sarit, Yuan Tian, Franco Cecchi, et al.. (2018). The prognostic role of microsatellite status, tumor mutational burden, and protein expression in CRC.. Journal of Clinical Oncology. 36(4_suppl). 572–572. 2 indexed citations

10.

Szeto, Christopher W., Stephen C. Benz, Franco Cecchi, et al.. (2017). Investigating tumoral and temporal heterogeneity through comprehensive -omics profiling in patients with metastatic triple negative breast cancer.. Journal of Clinical Oncology. 35(15_suppl). 1093–1093. 2 indexed citations

11.

Yau, Christina, Laurence Meyer, Stephen C. Benz, et al.. (2015). FOXM1 cistrome predicts breast cancer metastatic outcome better than FOXM1 expression levels or tumor proliferation index. Breast Cancer Research and Treatment. 154(1). 23–32. 8 indexed citations

12.

Quigley, David A., Laxmi Silwal‐Pandit, Ruth Dannenfelser, et al.. (2014). Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research. 13(3). 493–501. 47 indexed citations

13.

Sedgewick, Andrew J., Stephen C. Benz, Shahrooz Rabizadeh, Patrick Soon‐Shiong, & Charles Vaske. (2013). Learning subgroup-specific regulatory interactions and regulator independence with PARADIGM. Bioinformatics. 29(13). i62–i70. 19 indexed citations

14.

Wong, Christopher K., Charles Vaske, Sam Ng, et al.. (2013). The UCSC Interaction Browser: multidimensional data views in pathway context. Nucleic Acids Research. 41(W1). W218–W224. 21 indexed citations

15.

Varadan, Vinay, Prateek Mittal, Charles Vaske, & Stephen C. Benz. (2011). The Integration of Biological Pathway Knowledge in Cancer Genomics: A review of existing computational approaches. IEEE Signal Processing Magazine. 29(1). 35–50. 15 indexed citations

16.

Kristensen, Vessela N., Charles Vaske, Josie Ursini‐Siegel, et al.. (2011). Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling. Proceedings of the National Academy of Sciences. 109(8). 2802–2807. 110 indexed citations

17.

Zhu, Jingchun, Zack Sanborn, Stephen C. Benz, et al.. (2011). Abstract 4985: The UCSC Cancer Genomics Browser. Cancer Research. 71(8_Supplement). 4985–4985. 1 indexed citations

18.

House, Carrie D., Charles Vaske, Arnold M. Schwartz, et al.. (2010). Voltage-Gated Na+ Channel SCN5A Is a Key Regulator of a Gene Transcriptional Network That Controls Colon Cancer Invasion. Cancer Research. 70(17). 6957–6967. 205 indexed citations

19.

Kanabar, Pinal, Charles Vaske, Calvin Yeang, Fitnat H. Yildiz, & Joshua M. Stuart. (2008). INFERRING DISEASE-RELATED PATHWAYS USING A PROBABILISTIC EPISTASIS MODEL. PubMed. 480–491. 2 indexed citations

20.

Tenney, Aaron, Randall H. Brown, Charles Vaske, et al.. (2004). Gene prediction and verification in a compact genome with numerous small introns. Genome Research. 14(11). 2330–2335. 29 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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