Stephen C. Benz

16.5k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Stephen C. Benz is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Stephen C. Benz has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cancer Research, 23 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Stephen C. Benz's work include Cancer Genomics and Diagnostics (17 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Bioinformatics and Genomic Networks (8 papers). Stephen C. Benz is often cited by papers focused on Cancer Genomics and Diagnostics (17 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Bioinformatics and Genomic Networks (8 papers). Stephen C. Benz collaborates with scholars based in United States, Singapore and Italy. Stephen C. Benz's co-authors include Charles Vaske, Christopher C. Benz, Zack Sanborn, Gary K. Scott, Michael Mattie, Crystal Berger, Joshua M. Stuart, David Haussler, Jingchun Zhu and Christopher Szeto and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stephen C. Benz

47 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.

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
Stephen C. Benz United States	17	1.2k	907	383	254	199	48	1.9k
Chiara Pastrello Canada	23	1.2k 0.9×	681 0.8×	260 0.7×	199 0.8×	213 1.1×	62	1.9k
Zbysław Sońdka United Kingdom	9	1.8k 1.5×	972 1.1×	572 1.5×	344 1.4×	122 0.6×	15	2.6k
Andrea Bild United States	9	1.9k 1.6×	791 0.9×	710 1.9×	429 1.7×	79 0.4×	25	2.7k
Bradley M. Broom United States	24	1.0k 0.8×	567 0.6×	592 1.5×	474 1.9×	89 0.4×	63	1.9k
Viviane Praz Switzerland	19	1.9k 1.6×	939 1.0×	635 1.7×	224 0.9×	69 0.3×	30	2.6k
Hengqiang Zhao China	28	1.8k 1.5×	1.6k 1.8×	391 1.0×	240 0.9×	308 1.5×	49	2.6k
David Tamborero Spain	29	2.0k 1.6×	1.3k 1.5×	511 1.3×	494 1.9×	237 1.2×	62	4.5k
Eric C. Wooten United States	12	1.1k 0.9×	863 1.0×	887 2.3×	398 1.6×	114 0.6×	17	2.1k
Jonathan R. Dry United States	19	818 0.7×	473 0.5×	474 1.2×	230 0.9×	70 0.4×	34	1.4k
Diego M. Marzese United States	25	1.2k 1.0×	608 0.7×	507 1.3×	276 1.1×	99 0.5×	75	1.7k

Countries citing papers authored by Stephen C. Benz

Since Specialization

Citations

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

Fields of papers citing papers by Stephen C. Benz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Benz. 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 Stephen C. Benz. The network helps show where Stephen C. Benz may publish in the future.

Co-authorship network of co-authors of Stephen C. Benz

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Benz. A scholar is included among the top collaborators of Stephen C. Benz 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 Stephen C. Benz. Stephen C. Benz 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

Cook, Christopher, Mark A. Taylor, Yale Liu, et al.. (2022). A single-cell transcriptional gradient in human cutaneous memory T cells restricts Th17/Tc17 identity. Cell Reports Medicine. 3(8). 100715–100715. 15 indexed citations

Benz, Stephen C., et al.. (2020). A30 Tumor-Infiltrating Lymphocytes (TILs) Found Elevated in Lung Adenocarcinomas (LUAD) Using Automated Digital Pathology Masks Derived from Deep-Learning Models. Journal of Thoracic Oncology. 15(2). S22–S22. 1 indexed citations

Boniface, Christopher, Benjamin Goode, Jocelyn Chapman, et al.. (2020). Multiregion exome sequencing of ovarian immature teratomas reveals 2N near-diploid genomes, paucity of somatic mutations, and extensive allelic imbalances shared across mature, immature, and disseminated components. Modern Pathology. 33(6). 1193–1206. 19 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

Garner, Chad, et al.. (2020). Glycolytic expression in lower-grade glioma reveals an epigenetic association between IDH mutation status and PDL1/2 expression. Neuro-Oncology Advances. 3(1). vdaa162–vdaa162. 9 indexed citations

Yau, Christina, Christopher K. Wong, Yulia Newton, et al.. (2020). A risk-associated Active transcriptome phenotype expressed by histologically normal human breast tissue and linked to a pro-tumorigenic adipocyte population. Breast Cancer Research. 22(1). 81–81. 12 indexed citations

Lee, Karin L., Stephen C. Benz, Kristin C. Hicks, et al.. (2019). Efficient Tumor Clearance and Diversified Immunity through Neoepitope Vaccines and Combinatorial Immunotherapy. Cancer Immunology Research. 7(8). 1359–1370. 20 indexed citations

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

Garner, Chad, Stephen C. Benz, Hermes Garbán, et al.. (2018). Identification of an immune gene expression signature associated with favorable clinical features in Treg-enriched patient tumor samples. npj Genomic Medicine. 3(1). 14–14. 37 indexed citations

10.

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

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.

Liao, Serena G., Ryan J. Hartmaier, Kandace P. McGuire, et al.. (2015). The molecular landscape of premenopausal breast cancer. Breast Cancer Research. 17(1). 104–104. 53 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.

Mittempergher, Lorenza, Mahasti Saghatchian, Denise M. Wolf, et al.. (2013). A gene signature for late distant metastasis in breast cancer identifies a potential mechanism of late recurrences. Molecular Oncology. 7(5). 987–999. 38 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.

Sadanandam, Anguraj, Aseem Lal, Stephen C. Benz, et al.. (2012). Genomic aberrations in normal tissue adjacent to HER2-amplified breast cancers: field cancerization or contaminating tumor cells?. Breast Cancer Research and Treatment. 136(3). 693–703. 11 indexed citations

17.

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

18.

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

19.

Marx, Corina, Crystal Berger, Stephen C. Benz, et al.. (2006). Therapeutic destabilization of ErbB2 transcripts mediated by U-rich mRNA binding proteins and microRNAs.. Cancer Research. 66. 1320–1320. 1 indexed citations

20.

Benz, Stephen C., et al.. (2004). A DNA Motif Lexicon: Cataloguing and Annotating Sequences. In Silico Biology. 4(4). 471–478. 2 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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