Zack Sanborn

24.5k total citations · 1 hit paper
19 papers, 941 citations indexed

About

Zack Sanborn is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zack Sanborn has authored 19 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Zack Sanborn's work include Cancer Genomics and Diagnostics (10 papers), Bioinformatics and Genomic Networks (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Zack Sanborn is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Bioinformatics and Genomic Networks (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Zack Sanborn collaborates with scholars based in United States, Singapore and Netherlands. Zack Sanborn's co-authors include David Haussler, Charles Vaske, Jingchun Zhu, Stephen C. Benz, Joshua M. Stuart, Christopher Szeto, Dent Earl, Craig B. Lowe, Mark Diekhans and Raymond J. Cho and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Zack Sanborn

18 papers receiving 928 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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zack Sanborn United States	10	716	300	132	130	109	19	941
Xinan Yang United States	18	787 1.1×	256 0.9×	137 1.0×	130 1.0×	216 2.0×	42	1.2k
Anja Sieber Germany	12	775 1.1×	185 0.6×	111 0.8×	227 1.7×	107 1.0×	19	1.2k
Gerald Gooden United States	13	921 1.3×	323 1.1×	192 1.5×	222 1.7×	190 1.7×	24	1.3k
Marco Piva United States	10	748 1.0×	202 0.7×	84 0.6×	616 4.7×	90 0.8×	13	1.1k
Anna Vähärautio Finland	12	950 1.3×	368 1.2×	115 0.9×	209 1.6×	88 0.8×	18	1.5k
B. Belinda Ding United States	7	538 0.8×	148 0.5×	42 0.3×	273 2.1×	68 0.6×	11	1.0k
Yashaswi Shrestha United States	16	405 0.6×	112 0.4×	57 0.4×	265 2.0×	104 1.0×	31	919
Ivanka Kovalyshyn United States	8	589 0.8×	186 0.6×	81 0.6×	588 4.5×	49 0.4×	16	1.0k
Eduard Porta‐Pardo Spain	12	714 1.0×	315 1.1×	154 1.2×	62 0.5×	67 0.6×	19	907
Deena M.A. Gendoo Canada	15	528 0.7×	322 1.1×	45 0.3×	336 2.6×	117 1.1×	25	990

Countries citing papers authored by Zack Sanborn

Since Specialization

Citations

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

Fields of papers citing papers by Zack Sanborn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zack Sanborn

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Newton, Yulia, Andrew J. Sedgewick, Luis Cisneros, et al.. (2020). Large scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples. Scientific Reports. 10(1). 17597–17597. 20 indexed citations

Adashek, Jacob J., Shumei Kato, Christopher W. Szeto, et al.. (2020). Transcriptomic silencing as a potential mechanism of treatment resistance. JCI Insight. 5(11). 25 indexed citations

Nguyen, Andrew, Zack Sanborn, Charles Vaske, et al.. (2019). Evidence for selective silencing of MHC-binding neoepitopes to avoid immune surveillance.. Journal of Clinical Oncology. 37(15_suppl). 2591–2591. 1 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

North, Jeffrey P., Justin Golovato, Charles Vaske, et al.. (2018). Cell of origin and mutation pattern define three clinically distinct classes of sebaceous carcinoma. Nature Communications. 9(1). 1894–1894. 62 indexed citations

Schwartz, Camille, Julian Little, Charles Vaske, et al.. (2018). The NantOmics Pharmacogenomics Test: An integrative panomic approach to pharmacogenomics screening.. Journal of Clinical Oncology. 36(15_suppl). 2575–2575. 1 indexed citations

Koo, Si‐Lin, Joe Yeong, Andrew Nguyen, et al.. (2018). Abstract 5725: Systematic identification of tumour-specific neoantigens(by whole-genome sequencing) and correlation between tumour neoantigen burden, PD-L1 expression and immune infiltrates in 158Asian colorectal cancers. Cancer Research. 78(13_Supplement). 5725–5725.

10.

Thyparambil, Sheeno, Yeoun Jin Kim, Andrew G. Chambers, et al.. (2018). Comprehensive proteomic and genomic profiling to identify therapeutic targets in adenoid cystic carcinoma.. Journal of Clinical Oncology. 36(15_suppl). 6053–6053. 2 indexed citations

11.

Denkert, Carsten, Michael Untch, Stephen C. Benz, et al.. (2018). Signatures of mutational processes and response to neoadjuvant chemotherapy in breast cancer: A genome-based investigation in the neoadjuvant GeparSepto trial.. Journal of Clinical Oncology. 36(15_suppl). 574–574. 1 indexed citations

12.

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

13.

Schulman, Joshua M., Dennis H. Oh, Zack Sanborn, et al.. (2015). Multiple Hereditary Infundibulocystic Basal Cell Carcinoma Syndrome Associated With a GermlineSUFUMutation. JAMA Dermatology. 152(3). 323–323. 33 indexed citations

14.

Sanborn, Zack, Sofie R. Salama, Mia Grifford, et al.. (2013). Double Minute Chromosomes in Glioblastoma Multiforme Are Revealed by Precise Reconstruction of Oncogenic Amplicons. Cancer Research. 73(19). 6036–6045. 73 indexed citations

15.

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

16.

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

17.

Sanborn, Zack, Stephen C. Benz, Brian Craft, et al.. (2010). The UCSC cancer genomics browser: update 2011. Nucleic Acids Research. 39(suppl_1). D951–D959. 64 indexed citations

18.

Vaske, Charles, Stephen C. Benz, Zack Sanborn, et al.. (2010). Inference of patient-specific pathway activities from multi-dimensional cancer genomics data using PARADIGM. Bioinformatics. 26(12). i237–i245. 527 indexed citations breakdown →

19.

Zhu, Jingchun, et al.. (2007). Comparative Genomics Search for Losses of Long-Established Genes on the Human Lineage. PLoS Computational Biology. 3(12). e247–e247. 80 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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