Kevin McGowan

1.8k total citations
29 papers, 1.3k citations indexed

About

Kevin McGowan is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Kevin McGowan has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Urology. Recurrent topics in Kevin McGowan's work include Skin and Cellular Biology Research (6 papers), Hair Growth and Disorders (5 papers) and Ubiquitin and proteasome pathways (4 papers). Kevin McGowan is often cited by papers focused on Skin and Cellular Biology Research (6 papers), Hair Growth and Disorders (5 papers) and Ubiquitin and proteasome pathways (4 papers). Kevin McGowan collaborates with scholars based in United States, France and United Kingdom. Kevin McGowan's co-authors include Pierre A. Coulombe, Phillip H. Pekala, Lucy G. Andrews, Jack D. Keene, Renu Jain, Kelsie M. Bernot, Emma Colucci‐Guyon, Xuemei Tong, Francina Langa and Charles Babinet and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Kevin McGowan

29 papers receiving 1.3k citations

Peers

Kevin McGowan
Anne Kilkenny United States
Christopher J. Wraight Australia
Kazuo Ozawa Japan
Hidenori Watabe Japan
Fernando Benavides United States
Thomas J. Hornyak United States
Angustias Page Spain
York Kamenisch Germany
Toshihiko Hoashi Japan
Guo-Zhong Tao United States
Anne Kilkenny United States
Kevin McGowan
Citations per year, relative to Kevin McGowan Kevin McGowan (= 1×) peers Anne Kilkenny

Countries citing papers authored by Kevin McGowan

Since Specialization
Citations

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

Fields of papers citing papers by Kevin McGowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin McGowan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin McGowan. A scholar is included among the top collaborators of Kevin McGowan 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 Kevin McGowan. Kevin McGowan 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.
Urata, H, Masaya Kokubo, Takahiro Mori, et al.. (2025). Discovery of ONO-2920632 (VU6011887): A Highly Selective and CNS Penetrant TREK-2 (TWIK-Related K+ Channel 2) Preferring Activator In Vivo Tool Compound. ACS Chemical Neuroscience. 16(5). 960–967. 1 indexed citations
2.
Hu, Maowei, Nathaniel Twarog, Yong Li, et al.. (2024). Continuous collective analysis of chemical reactions. Nature. 636(8042). 374–379. 7 indexed citations
3.
Nishiguchi, Gisele, Elizabeth A. Caine, Kevin McGowan, et al.. (2024). Structure–Activity Relationship of Potent, Selective, and Orally Bioavailable Molecular Glue Degraders of CK1α. ACS Medicinal Chemistry Letters. 15(10). 1692–1698. 3 indexed citations
4.
Bermúdez, C., Michael V. Genuardi, Kevin McGowan, et al.. (2024). Multicenter evaluation of left ventricular assist device implantation with or without ECMO bridge in cardiogenic shock. Artificial Organs. 48(8). 921–931. 1 indexed citations
5.
McGowan, Kevin, Kellie D. Nance, Thomas M. Bridges, et al.. (2017). Continued optimization of the M5 NAM ML375: Discovery of VU6008667, an M5 NAM with high CNS penetration and a desired short half-life in rat for addiction studies. Bioorganic & Medicinal Chemistry Letters. 27(6). 1356–1359. 23 indexed citations
6.
McGowan, Kevin, Paul K. Spearing, Branden J. Stansley, et al.. (2017). VU6010608, a Novel mGlu7 NAM from a Series of N-(2-(1H-1,2,4-Triazol-1-yl)-5-(trifluoromethoxy)phenyl)benzamides. ACS Medicinal Chemistry Letters. 8(12). 1326–1330. 20 indexed citations
7.
Nance, Kellie D., Kevin McGowan, P. Jeffrey Conn, et al.. (2016). Ligand-based virtual screen for the discovery of novel M5 inhibitor chemotypes. Bioorganic & Medicinal Chemistry Letters. 26(18). 4487–4491. 16 indexed citations
8.
Cataisson, Christophe, Jinqiu Chen, Michelle A. Herrmann, et al.. (2016). Biological activity of the bryostatin analog Merle 23 on mouse epidermal cells and mouse skin. Molecular Carcinogenesis. 55(12). 2183–2195. 9 indexed citations
9.
McGowan, Kevin, et al.. (2016). Synthesis and Biological Evaluation of Several Bryostatin Analogues Bearing a Diacylglycerol Lactone C-Ring. The Journal of Organic Chemistry. 81(17). 7862–7883. 6 indexed citations
10.
Pando, Matthew P., Vinayaka Kotraiah, Kevin McGowan, Laurent Bracco, & Richard Einstein. (2006). Alternative isoform discrimination by the next generation of expression profiling microarrays. Expert Opinion on Therapeutic Targets. 10(4). 613–625. 8 indexed citations
11.
DePianto, Daryle J., et al.. (2005). Exploiting the Keratin 17 Gene Promoter To Visualize Live Cells in Epithelial Appendages of Mice. Molecular and Cellular Biology. 25(16). 7249–7259. 52 indexed citations
12.
Bernot, Kelsie M., Pierre A. Coulombe, & Kevin McGowan. (2002). Keratin 16 Expression Defines a Subset of Epithelial Cells During Skin Morphogenesis and the Hair Cycle. Journal of Investigative Dermatology. 119(5). 1137–1149. 76 indexed citations
13.
McGowan, Kevin, Xuemei Tong, Emma Colucci‐Guyon, et al.. (2002). Keratin 17 null mice exhibit age- and strain-dependent alopecia. Genes & Development. 16(11). 1412–1422. 103 indexed citations
14.
McGowan, Kevin & Pierre A. Coulombe. (2000). Keratin 17 Expression in the Hard Epithelial Context of the Hair and Nail, and its Relevance for the Pachyonychia Congenita Phenotype. Journal of Investigative Dermatology. 114(6). 1101–1107. 57 indexed citations
15.
McGowan, Kevin, et al.. (1998). The wound repair-associated keratins 6, 16, and 17. Insights into the role of intermediate filaments in specifying keratinocyte cytoarchitecture.. PubMed. 31. 173–204. 109 indexed citations
16.
Jain, Renu, Lucy G. Andrews, Kevin McGowan, Phillip H. Pekala, & Jack D. Keene. (1997). Ectopic Expression of Hel-N1, an RNA-Binding Protein, Increases Glucose Transporter (GLUT1) Expression in 3T3-L1 Adipocytes. Molecular and Cellular Biology. 17(2). 954–962. 177 indexed citations
17.
McGowan, Kevin, et al.. (1997). Tumor Necrosis Factor-α Regulation of Glucose Transporter (GLUT1) mRNA Turnover. Journal of Biological Chemistry. 272(2). 1331–1337. 48 indexed citations
18.
McGowan, Kevin, et al.. (1996). Dehydrogenase Binding to the 3′-Untranslated Region of GLUT1 mRNA. Biochemical and Biophysical Research Communications. 221(1). 42–45. 19 indexed citations
19.
McGowan, Kevin, et al.. (1995). Glucose transporter gene expression: Regulation of transcription and mRNA stability. Pharmacology & Therapeutics. 66(3). 465–505. 122 indexed citations
20.
Kovacs, C. J., et al.. (1991). Altered radioprotective properties of interleukin Iα (IL-1) in non-hematologic tumor-bearing animals. International Journal of Radiation Oncology*Biology*Physics. 20(2). 307–310. 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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