Stephen C. Kales

2.1k total citations
28 papers, 670 citations indexed

About

Stephen C. Kales is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Stephen C. Kales has authored 28 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Stephen C. Kales's work include Ubiquitin and proteasome pathways (10 papers), Aquaculture disease management and microbiota (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Stephen C. Kales is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Aquaculture disease management and microbiota (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Stephen C. Kales collaborates with scholars based in United States, Canada and Taiwan. Stephen C. Kales's co-authors include Stanley Lipkowitz, Brian Dixon, Marion M. Nau, Philip Ryan, Anton Simeonov, Kazuhiro Fujiki, Niels C. Bols, Matthew D. Hall, Min Shen and Philip E.J. Sanderson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Stephen C. Kales

27 papers receiving 664 citations

Peers

Stephen C. Kales
Karen Bunting United States
Mariana Justino de Almeida United States
Jenny L. Maki United States
Cindy S. Luo Australia
Zhenyun Yang United States
Veronika Jesenberger Austria
Maarten Jacquemyn Belgium
Mathieu Lajoie Canada
Jason Borawski United States
Eric Kowarz Germany
Karen Bunting United States
Stephen C. Kales
Citations per year, relative to Stephen C. Kales Stephen C. Kales (= 1×) peers Karen Bunting

Countries citing papers authored by Stephen C. Kales

Since Specialization
Citations

This map shows the geographic impact of Stephen C. Kales'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. Kales 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. Kales more than expected).

Fields of papers citing papers by Stephen C. Kales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Kales. A scholar is included among the top collaborators of Stephen C. Kales 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. Kales. Stephen C. Kales 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.
Scoles, Daniel R., Anton Simeonov, Thomas S. Dexheimer, et al.. (2025). Identifying Molecular Properties of Ataxin-2 Inhibitors for Spinocerebellar Ataxia Type 2 Utilizing High-Throughput Screening and Machine Learning. Biology. 14(5). 522–522.
2.
Kales, Stephen C., Xin Hu, Takashi Tsukamoto, et al.. (2024). Development of a high‐throughput dual‐stream liquid chromatography–tandem mass spectrometry method to screen for inhibitors of glutamate carboxypeptidase II. Rapid Communications in Mass Spectrometry. 39(S1). e9772–e9772. 2 indexed citations
3.
Kales, Stephen C., Natarajan V. Bhanu, Ying Xiong, et al.. (2023). Comparative Analysis of Drug-like EP300/CREBBP Acetyltransferase Inhibitors. ACS Chemical Biology. 18(10). 2249–2258. 4 indexed citations
4.
Shrimp, Jonathan H., John Janiszewski, Catherine Z. Chen, et al.. (2022). Suite of TMPRSS2 Assays for Screening Drug Repurposing Candidates as Potential Treatments of COVID-19. ACS Infectious Diseases. 8(6). 1191–1203. 6 indexed citations
5.
Scoles, Daniel R., Mandi Gandelman, Sharan Paul, et al.. (2022). A quantitative high-throughput screen identifies compounds that lower expression of the SCA2-and ALS-associated gene ATXN2. Journal of Biological Chemistry. 298(8). 102228–102228. 9 indexed citations
6.
Paul, Debasish, Stephen C. Kales, James A. Cornwell, et al.. (2022). Revealing β-TrCP activity dynamics in live cells with a genetically encoded biosensor. Nature Communications. 13(1). 6364–6364. 12 indexed citations
7.
Gandelman, Mandi, Warunee Dansithong, Stephen C. Kales, et al.. (2021). The AKT modulator A-443654 reduces α-synuclein expression and normalizes ER stress and autophagy. Journal of Biological Chemistry. 297(4). 101191–101191. 13 indexed citations
8.
Shrimp, Jonathan H., Stephen C. Kales, Philip E.J. Sanderson, et al.. (2020). An Enzymatic TMPRSS2 Assay for Assessment of Clinical Candidates and Discovery of Inhibitors as Potential Treatment of COVID-19. ACS Pharmacology & Translational Science. 3(5). 997–1007. 79 indexed citations
9.
10.
Kales, Stephen C., et al.. (2019). Loss of function Cbl-c mutations in solid tumors. PLoS ONE. 14(7). e0219143–e0219143. 10 indexed citations
11.
Christie, Darah, et al.. (2019). Immune stimulation of rainbow trout reveals divergent regulation of MH class II-associated invariant chain isoforms. Immunogenetics. 71(5-6). 407–420. 11 indexed citations
12.
Liu, Xiaoni, Shang‐Min Zhang, Meaghan K. McGeary, et al.. (2018). KDM5B Promotes Drug Resistance by Regulating Melanoma-Propagating Cell Subpopulations. Molecular Cancer Therapeutics. 18(3). 706–717. 40 indexed citations
13.
Coussens, Nathan P., Stephen C. Kales, Mark J. Henderson, et al.. (2018). High-throughput screening with nucleosome substrate identifies small-molecule inhibitors of the human histone lysine methyltransferase NSD2. Journal of Biological Chemistry. 293(35). 13750–13765. 55 indexed citations
14.
Li, Minghui, Stephen C. Kales, Benjamin A. Shoemaker, et al.. (2015). Balancing Protein Stability and Activity in Cancer: A New Approach for Identifying Driver Mutations Affecting CBL Ubiquitin Ligase Activation. Cancer Research. 76(3). 561–571. 27 indexed citations
15.
Kales, Stephen C., Marion M. Nau, Anand S. Merchant, & Stanley Lipkowitz. (2014). Enigma Prevents Cbl-c-Mediated Ubiquitination and Degradation of RETMEN2A. PLoS ONE. 9(1). e87116–e87116. 22 indexed citations
16.
17.
Tan, Yi‐Hung Carol, Soundararajan Krishnaswamy, Suvobroto Nandi, et al.. (2010). CBL Is Frequently Altered in Lung Cancers: Its Relationship to Mutations in MET and EGFR Tyrosine Kinases. PLoS ONE. 5(1). e8972–e8972. 84 indexed citations
18.
Kales, Stephen C., Stephanie J. DeWitte‐Orr, Niels C. Bols, & Brian Dixon. (2007). Response of the rainbow trout monocyte/macrophage cell line, RTS11 to the water molds Achlya and Saprolegnia. Molecular Immunology. 44(9). 2303–2314. 34 indexed citations
19.
Kales, Stephen C., Niels C. Bols, & Brian Dixon. (2007). Calreticulin in rainbow trout: A limited response to Endoplasmic Reticulum (ER) stress. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 147(4). 607–615. 30 indexed citations
20.
Kales, Stephen C., Kazuhiro Fujiki, & Brian Dixon. (2004). Molecular cloning and characterization of calreticulin from rainbow trout ( Oncorhynchus mykiss ). Immunogenetics. 55(10). 717–723. 31 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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