Stephen B. Keysar

2.1k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

Stephen B. Keysar is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephen B. Keysar has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephen B. Keysar's work include Cancer Cells and Metastasis (6 papers), Cancer-related Molecular Pathways (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Stephen B. Keysar is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Cancer-related Molecular Pathways (6 papers) and Lung Cancer Treatments and Mutations (6 papers). Stephen B. Keysar collaborates with scholars based in United States, Canada and United Kingdom. Stephen B. Keysar's co-authors include Antonio Jimeno, Marileila Varella‐Garcia, Dara L. Aisner, Phuong N. Le, Xiao‐Jing Wang, J. Jason Morton, Anh T. Le, Robert C. Doebele, Aria Vaishnavi and Hilary Somerset and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Stephen B. Keysar

30 papers receiving 1.1k 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.

An Oncogenic NTRK Fusion in a Patient with Soft-Tissue Sarcoma with Response to the Tropomyosin-Related Kinase Inhibitor LOXO-101

2015 302 citations Robert C. Doebele, Lara E. Davis et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen B. Keysar United States	15	580	560	270	261	117	31	1.1k
Alexandra Florin Germany	19	691 1.2×	388 0.7×	186 0.7×	302 1.2×	70 0.6×	27	1.1k
Jari Sundström Finland	22	484 0.8×	520 0.9×	295 1.1×	332 1.3×	113 1.0×	49	1.2k
Eugene Einhorn United States	11	735 1.3×	541 1.0×	290 1.1×	180 0.7×	145 1.2×	22	1.3k
Jeonghee Cho South Korea	18	685 1.2×	518 0.9×	422 1.6×	343 1.3×	76 0.6×	31	1.2k
Siddhartha Deb Australia	20	660 1.1×	435 0.8×	229 0.8×	244 0.9×	96 0.8×	48	1.3k
Carolina Vicente‐Dueñas Spain	18	728 1.3×	495 0.9×	124 0.5×	244 0.9×	208 1.8×	41	1.2k
Reika Iwakawa Japan	19	808 1.4×	675 1.2×	525 1.9×	394 1.5×	203 1.7×	22	1.4k
Stine H. Kresse Norway	21	877 1.5×	350 0.6×	443 1.6×	604 2.3×	136 1.2×	30	1.5k
Vinay Sagar United States	19	712 1.2×	361 0.6×	214 0.8×	231 0.9×	65 0.6×	46	1.3k
Shaija Samuel United States	14	972 1.7×	739 1.3×	122 0.5×	433 1.7×	70 0.6×	16	1.5k

Countries citing papers authored by Stephen B. Keysar

Since Specialization

Citations

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

Fields of papers citing papers by Stephen B. Keysar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen B. Keysar

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

Keysar, Stephen B., Bettina Miller, J. Jason Morton, et al.. (2025). Improved Methods for the Stable Generation of Human Papillomavirus‐Driven Head and Neck Cancer Cell Lines. Molecular Carcinogenesis. 64(11). 1813–1822.

Nieto, Cera, Bettina Miller, Molishree Joshi, et al.. (2023). The programmed death ligand 1 interactome demonstrates bidirectional signaling coordinating immune suppression and cancer progression in head and neck squamous cell carcinoma. JNCI Journal of the National Cancer Institute. 115(11). 1392–1403. 9 indexed citations

Nguyen, Khoa, et al.. (2022). Epidermal growth factor receptor signaling in precancerous keratinocytes promotes neighboring head and neck cancer squamous cell carcinoma cancer stem cell‐like properties and phosphoinositide 3‐kinase inhibitor insensitivity. Molecular Carcinogenesis. 61(7). 664–676. 3 indexed citations

Keysar, Stephen B., Nathan Gomes, Bettina Miller, et al.. (2020). Inhibiting Translation Elongation with SVC112 Suppresses Cancer Stem Cells and Inhibits Growth in Head and Neck Squamous Carcinoma. Cancer Research. 80(5). 1183–1198. 16 indexed citations

Gomez, Karina E., Fanglong Wu, Stephen B. Keysar, et al.. (2020). Cancer Cell CD44 Mediates Macrophage/Monocyte-Driven Regulation of Head and Neck Cancer Stem Cells. Cancer Research. 80(19). 4185–4198. 138 indexed citations

Gomez, Karina E., Tugs‐Saikhan Chimed, Carissa M. Thomas, et al.. (2019). Leading edge or tumor core: Intratumor cancer stem cell niches in oral cavity squamous cell carcinoma and their association with stem cell function. Oral Oncology. 98. 118–124. 14 indexed citations

Keysar, Stephen B., Justin R. Eagles, Bettina Miller, et al.. (2018). Salivary Gland Cancer Patient-Derived Xenografts Enable Characterization of Cancer Stem Cells and New Gene Events Associated with Tumor Progression. Clinical Cancer Research. 24(12). 2935–2943. 24 indexed citations

Le, Phuong N., Stephen B. Keysar, Bettina Miller, et al.. (2018). Wnt signaling dynamics in head and neck squamous cell cancer tumor‐stroma interactions. Molecular Carcinogenesis. 58(3). 398–410. 58 indexed citations

Vaishnavi, Aria, Laura Schubert, Uwe Rix, et al.. (2017). EGFR Mediates Responses to Small-Molecule Drugs Targeting Oncogenic Fusion Kinases. Cancer Research. 77(13). 3551–3563. 61 indexed citations

10.

Bhatia, Shilpa, Jaspreet Sharma, Ayman Oweida, et al.. (2016). Enhancing radiosensitization in EphB4 receptor-expressing Head and Neck Squamous Cell Carcinomas. Scientific Reports. 6(1). 38792–38792. 17 indexed citations

11.

Doebele, Robert C., Lara E. Davis, Aria Vaishnavi, et al.. (2015). An Oncogenic NTRK Fusion in a Patient with Soft-Tissue Sarcoma with Response to the Tropomyosin-Related Kinase Inhibitor LOXO-101. Cancer Discovery. 5(10). 1049–1057. 302 indexed citations breakdown →

12.

Bowles, Daniel W., Stephen B. Keysar, Justin R. Eagles, et al.. (2015). A pilot study of cetuximab and the hedgehog inhibitor IPI-926 in recurrent/metastatic head and neck squamous cell carcinoma. Oral Oncology. 53. 74–79. 31 indexed citations

13.

Kleczko, Emily K., Jihye Kim, Stephen B. Keysar, et al.. (2015). An Inducible TGF-β2-TGFβR Pathway Modulates the Sensitivity of HNSCC Cells to Tyrosine Kinase Inhibitors Targeting Dominant Receptor Tyrosine Kinases. PLoS ONE. 10(5). e0123600–e0123600. 6 indexed citations

14.

Gan, Gregory N., Justin R. Eagles, Stephen B. Keysar, et al.. (2014). Hedgehog Signaling Drives Radioresistance and Stroma-Driven Tumor Repopulation in Head and Neck Squamous Cancers. Cancer Research. 74(23). 7024–7036. 59 indexed citations

15.

Bowles, Daniel W., Jennifer R. Diamond, Elaine T. Lam, et al.. (2014). Phase I Study of Oral Rigosertib (ON 01910.Na), a Dual Inhibitor of the PI3K and Plk1 Pathways, in Adult Patients with Advanced Solid Malignancies. Clinical Cancer Research. 20(6). 1656–1665. 54 indexed citations

16.

Anderson, Ryan T., Stephen B. Keysar, Daniel W. Bowles, et al.. (2013). The Dual Pathway Inhibitor Rigosertib Is Effective in Direct Patient Tumor Xenografts of Head and Neck Squamous Cell Carcinomas. Molecular Cancer Therapeutics. 12(10). 1994–2005. 20 indexed citations

17.

Keysar, Stephen B., Nadira Trncic, Susan Μ. LaRue, & Michael H. Fox. (2009). Hypoxia/Reoxygenation-Induced Mutations in Mammalian Cells Detected by the Flow Cytometry Mutation Assay and Characterized by Mutant Spectrum. Radiation Research. 173(1). 21–26. 13 indexed citations

18.

Keysar, Stephen B. & Michael H. Fox. (2009). Kinetics of CHO A_L mutant expression after treatment with γ radiation, EMS, and asbestos. Cytometry Part A. 75A(5). 412–419. 3 indexed citations

19.

Keysar, Stephen B. & Michael H. Fox. (2009). EMS mutant spectra generated by multi-parameter flow cytometry. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 671(1-2). 6–12. 2 indexed citations

20.

Keysar, Stephen B., et al.. (2007). Mutant spectra of irradiated CHO AL cells determined with multiple markers analyzed by flow cytometry. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 624(1-2). 61–70. 4 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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