Keith S. Hoek

6.2k total citations · 1 hit paper
40 papers, 4.4k citations indexed

About

Keith S. Hoek is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Keith S. Hoek has authored 40 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Keith S. Hoek's work include Melanoma and MAPK Pathways (14 papers), Cell Adhesion Molecules Research (9 papers) and Cutaneous Melanoma Detection and Management (6 papers). Keith S. Hoek is often cited by papers focused on Melanoma and MAPK Pathways (14 papers), Cell Adhesion Molecules Research (9 papers) and Cutaneous Melanoma Detection and Management (6 papers). Keith S. Hoek collaborates with scholars based in Switzerland, United States and Australia. Keith S. Hoek's co-authors include Colin R. Goding, Reinhard Dummer, Natalie C. Schlegel, Ossia M. Eichhoff, Silvio Hemmi, Ross Smith, Udo Döbbeling, Nikita Kobert, Leo Schaerer and Lionel Larue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Keith S. Hoek

40 papers receiving 4.4k citations

Hit Papers

In vivo Switching of Human Melanoma Cells between Prolife... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers

Keith S. Hoek
Claudia Wellbrock United Kingdom
Chen‐Yong Lin United States
Jill M. Lahti United States
Paul S. Changelian United States
David T. Weaver United States
M. Raza Zaidi United States
Connie L. Sommers United States
Claudia Wellbrock United Kingdom
Keith S. Hoek
Citations per year, relative to Keith S. Hoek Keith S. Hoek (= 1×) peers Claudia Wellbrock

Countries citing papers authored by Keith S. Hoek

Since Specialization
Citations

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

Fields of papers citing papers by Keith S. Hoek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith S. Hoek. 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 Keith S. Hoek. The network helps show where Keith S. Hoek may publish in the future.

Co-authorship network of co-authors of Keith S. Hoek

This figure shows the co-authorship network connecting the top 25 collaborators of Keith S. Hoek. A scholar is included among the top collaborators of Keith S. Hoek 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 Keith S. Hoek. Keith S. Hoek 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.
Widmer, Daniel, Keith S. Hoek, Phil F. Cheng, et al.. (2013). Hypoxia Contributes to Melanoma Heterogeneity by Triggering HIF1α-Dependent Phenotype Switching. Journal of Investigative Dermatology. 133(10). 2436–2443. 110 indexed citations
2.
Widmer, Daniel, Phil F. Cheng, Ossia M. Eichhoff, et al.. (2012). Systematic classification of melanoma cells by phenotype‐specific gene expression mapping. Pigment Cell & Melanoma Research. 25(3). 343–353. 126 indexed citations
3.
Eichhoff, Ossia M., Ashani T. Weeraratna, Marie Zipser, et al.. (2011). Differential LEF1 and TCF4 expression is involved in melanoma cell phenotype switching. Pigment Cell & Melanoma Research. 24(4). 631–642. 72 indexed citations
4.
Javelaud, Delphine, Vasileia Ismini Alexaki, Keith S. Hoek, et al.. (2011). GLI2 and M‐MITF transcription factors control exclusive gene expression programs and inversely regulate invasion in human melanoma cells. Pigment Cell & Melanoma Research. 24(5). 932–943. 63 indexed citations
5.
Zipser, Marie, Ossia M. Eichhoff, Daniel Widmer, et al.. (2010). A proliferative melanoma cell phenotype is responsive to RAF/MEK inhibition independent of BRAF mutation status. Pigment Cell & Melanoma Research. 24(2). 326–333. 54 indexed citations
6.
Eichhoff, Ossia M., Marie Zipser, Mai Xu, et al.. (2010). The immunohistochemistry of invasive and proliferative phenotype switching in melanoma: a case report. Melanoma Research. 20(4). 349–355. 35 indexed citations
7.
Hoek, Keith S.. (2010). Exploring melanoma’s massively parallel universe. Pigment Cell & Melanoma Research. 23(3). 306–307. 1 indexed citations
8.
O’Connell, Michael P., Jennifer L. Fiori, Fred E. Indig, et al.. (2009). Wnt5A Activates the Calpain-Mediated Cleavage of Filamin A. Journal of Investigative Dermatology. 129(7). 1782–1789. 58 indexed citations
9.
Schlegel, Natalie C., Ossia M. Eichhoff, Silvio Hemmi, et al.. (2009). Id2 suppression of p15 counters TGF‐β‐mediated growth inhibition of melanoma cells. Pigment Cell & Melanoma Research. 22(4). 445–453. 17 indexed citations
10.
Grigoriadis, Anita, Otávia L. Caballero, Keith S. Hoek, et al.. (2009). CT-X antigen expression in human breast cancer. Proceedings of the National Academy of Sciences. 106(32). 13493–13498. 93 indexed citations
11.
Orgaz, José L., Keith S. Hoek, Asunción Fernández‐Barral, et al.. (2009). ‘Loss of pigment epithelium-derived factor enables migration, invasion and metastatic spread of human melanoma’. Oncogene. 28(47). 4147–4161. 60 indexed citations
12.
Hoek, Keith S., Ossia M. Eichhoff, Natalie C. Schlegel, et al.. (2008). In vivo Switching of Human Melanoma Cells between Proliferative and Invasive States. Cancer Research. 68(3). 650–656. 523 indexed citations breakdown →
13.
Hoek, Keith S., Natalie C. Schlegel, Ossia M. Eichhoff, et al.. (2008). Novel MITF targets identified using a two‐step DNA microarray strategy. Pigment Cell & Melanoma Research. 21(6). 665–676. 193 indexed citations
14.
Bettstetter, Marcus, Peter J. Wild, Keith S. Hoek, et al.. (2007). Loss of maspin expression contributes to a more invasive potential in malignant melanoma. Pigment Cell Research. 20(2). 112–119. 36 indexed citations
15.
Hoek, Keith S.. (2007). DNA microarray analyses of melanoma gene expression: a decade in the mines. Pigment Cell Research. 20(6). 466–484. 64 indexed citations
16.
Hoek, Keith S., et al.. (2006). Potassium channel expression profiles in human melanoma cells.. Cancer Research. 66. 1179–1180. 1 indexed citations
17.
Carreira, Suzanne, Jane Goodall, Laurence Denat, et al.. (2006). Mitf regulation of Dia1 controls melanoma proliferation and invasiveness. Genes & Development. 20(24). 3426–3439. 450 indexed citations
18.
Hoek, Keith S., David L. Rimm, Kenneth R. Williams, et al.. (2004). Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas. Cancer Research. 64(15). 5270–5282. 371 indexed citations
19.
Dummer, Reinhard, Mirjana Urosevic, Werner Kempf, et al.. (2003). Imiquimod in basal cell carcinoma: how does it work?. British Journal of Dermatology. 149(s66). 57–58. 62 indexed citations
20.
Shan, Jianguo, Kim Moran‐Jones, Trent P. Munro, et al.. (2000). Binding of an RNA Trafficking Response Element to Heterogeneous Nuclear Ribonucleoproteins A1 and A2. Journal of Biological Chemistry. 275(49). 38286–38295. 50 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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