Clifford Stephan

2.9k total citations
65 papers, 1.9k citations indexed

About

Clifford Stephan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Clifford Stephan has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Clifford Stephan's work include Cancer-related Molecular Pathways (11 papers), Cancer Cells and Metastasis (7 papers) and Microtubule and mitosis dynamics (6 papers). Clifford Stephan is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), Cancer Cells and Metastasis (7 papers) and Microtubule and mitosis dynamics (6 papers). Clifford Stephan collaborates with scholars based in United States, Germany and Switzerland. Clifford Stephan's co-authors include Ronald G. Tilton, An S. De Vriese, Norbert Lameire, Wilhelm Kriz, Marlies Elger, T A Brock, Kuo‐Chu Chang, J R Williamson, Wanda S. LeJeune and Claudio N. Cavasotto and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Clifford Stephan

58 papers receiving 1.8k citations

Peers

Clifford Stephan
Yang Dong China
Ding Ai China
Antien L. Mooyaart Netherlands
Jonathan E. Feig United States
Bryan G. Allen United States
Han Si United States
Yang Dong China
Clifford Stephan
Citations per year, relative to Clifford Stephan Clifford Stephan (= 1×) peers Yang Dong

Countries citing papers authored by Clifford Stephan

Since Specialization
Citations

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

Fields of papers citing papers by Clifford Stephan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clifford Stephan

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

All Works

20 of 20 papers shown
1.
Mazumdar, Tuhina, Soma Ghosh, Reid T. Powell, et al.. (2025). Polo-like kinase 1 inactivation enhances PI3K inhibition-mediated apoptosis of NOTCH1-mutant head and neck squamous cell carcinoma. Cancer Letters. 625. 217814–217814.
2.
Yang, Xue, Reid T. Powell, Clifford Stephan, et al.. (2025). Efficacy of cyclin-dependent kinase 4/6 inhibitors in preclinical adult-type ovarian granulosa cell tumor models. Gynecologic Oncology. 201. 152–159.
3.
Celestino, Joseph, Reid T. Powell, Clifford Stephan, et al.. (2024). Gain-of-Function Chromatin Remodeling Activity of Oncogenic FOXL2C134W Reprograms Glucocorticoid Receptor Occupancy to Drive Granulosa Cell Tumors. Cancer Research. 85(5). 875–893. 1 indexed citations
4.
Zorman, Barry, Pavel Sumazin, Gino M Dettorre, et al.. (2024). A transgenic mouse model of Down syndrome acute lymphoblastic leukemia identifies targetable vulnerabilities. Haematologica. 109(12). 4083–4088. 2 indexed citations
5.
Powell, Reid T., et al.. (2024). EXTH-82. TUMOR ORGANOID PREDICTED THERAPEUTIC RESPONSES TO NOVEL EPIGENETIC DRUGS VIA HIGH-THROUGHPUT SCREENING. Neuro-Oncology. 26(Supplement_8). viii256–viii256.
6.
Marreddy, Ravi K. R., Reid T. Powell, Philip Cherian, et al.. (2024). Chemical genetic analysis of enoxolone inhibition of Clostridioides difficile toxin production reveals adenine deaminase and ATP synthase as antivirulence targets. Journal of Biological Chemistry. 300(11). 107839–107839.
7.
Nguyen, Nghi, et al.. (2024). Cystic fibrosis cell models for high-throughput analysis and drug screening. Journal of Cystic Fibrosis. 23(4). 716–724.
8.
Powell, Reid T., Amanda L. Rinkenbaugh, Lei Guo, et al.. (2024). Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer. npj Breast Cancer. 10(1). 37–37. 2 indexed citations
9.
Ghosh, Susmita, Fan Fan, Reid T. Powell, et al.. (2023). Vincristine Enhances the Efficacy of MEK Inhibitors in Preclinical Models of KRAS-mutant Colorectal Cancer. Molecular Cancer Therapeutics. 22(8). 962–975. 5 indexed citations
10.
Dasari, Santosh K., Reid T. Powell, Mary Sobieski, et al.. (2023). Systematic high-throughput combination drug screen to enhance poly (ADP-ribose) polymerase (PARP) inhibitor efficacy in ovarian cancer.. Journal of Clinical Oncology. 41(16_suppl). 5546–5546.
11.
Ghosh, Soma, Tuhina Mazumdar, Wei Xu, et al.. (2022). Combined TRIP13 and Aurora Kinase Inhibition Induces Apoptosis in Human Papillomavirus–Driven Cancers. Clinical Cancer Research. 28(20). 4479–4493. 13 indexed citations
12.
Zhao, Na, Reid T. Powell, Kevin Roarty, et al.. (2021). Morphological screening of mesenchymal mammary tumor organoids to identify drugs that reverse epithelial-mesenchymal transition. Nature Communications. 12(1). 4262–4262. 43 indexed citations
13.
Li, Nan, Yifan Wang, Shinya Neri, et al.. (2019). Tankyrase disrupts metabolic homeostasis and promotes tumorigenesis by inhibiting LKB1-AMPK signalling. Nature Communications. 10(1). 4363–4363. 73 indexed citations
14.
Folorunso, Oluwarotimi, Nghi Nguyen, A.K. Singh, et al.. (2019). High-throughput screening against protein:protein interaction interfaces reveals anti-cancer therapeutics as potent modulators of the voltage-gated Na+ channel complex. Scientific Reports. 9(1). 16890–16890. 12 indexed citations
15.
Powell, Reid T., Clifford Stephan, Iván P. Uray, et al.. (2018). Bexarotene – a novel modulator of AURKA and the primary cilium in VHL-deficient cells. Journal of Cell Science. 131(24). 5 indexed citations
16.
17.
Cohen, Trevor, Dominic Widdows, Clifford Stephan, et al.. (2014). Predicting High‐Throughput Screening Results With Scalable Literature‐Based Discovery Methods. CPT Pharmacometrics & Systems Pharmacology. 3(10). 1–9. 24 indexed citations
18.
Lin, Steven H., Jing Zhang, Uma Giri, et al.. (2014). A High Content Clonogenic Survival Drug Screen Identifies MEK Inhibitors as Potent Radiation Sensitizers for KRAS Mutant Non–Small-Cell Lung Cancer. Journal of Thoracic Oncology. 9(7). 965–973. 31 indexed citations
19.
Cunningham, Sonia, et al.. (1997). Identification of the Extracellular Domains of Flt-1 That Mediate Ligand Interactions. Biochemical and Biophysical Research Communications. 231(3). 596–599. 30 indexed citations
20.
Williamson, Joseph R., Kuo‐Chu Chang, Wanda S. LeJeune, et al.. (1996). Links between retinal vascular dysfunction induced by elevated glucose levels and VEGF. Investigative Ophthalmology & Visual Science. 37(3). 3 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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