Steven J. Cok

591 total citations
10 papers, 512 citations indexed

About

Steven J. Cok is a scholar working on Molecular Biology, Pharmacology and Genetics. According to data from OpenAlex, Steven J. Cok has authored 10 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 3 papers in Genetics. Recurrent topics in Steven J. Cok's work include Inflammatory mediators and NSAID effects (4 papers), Estrogen and related hormone effects (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Steven J. Cok is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Estrogen and related hormone effects (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Steven J. Cok collaborates with scholars based in United States. Steven J. Cok's co-authors include Aubrey R. Morrison, Chenbo Zeng, Qing Yu, Jeffrey I. Gordon, Horst Feldmann, D R Johnson, Paul D. Lui, Ioannis K. Moutsatsos, Rick V. Hay and John A. Holt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Steven J. Cok

10 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven J. Cok United States 7 314 160 101 91 69 10 512
Umesh Bhatia United States 9 311 1.0× 100 0.6× 33 0.3× 59 0.6× 50 0.7× 11 505
Gary L. Sanford United States 10 226 0.7× 74 0.5× 35 0.3× 56 0.6× 178 2.6× 17 510
Marise Andréani France 13 315 1.0× 62 0.4× 102 1.0× 34 0.4× 96 1.4× 13 573
Jérôme Célérier France 14 248 0.8× 47 0.3× 53 0.5× 82 0.9× 21 0.3× 14 527
Mamoru Matsuura Japan 9 203 0.6× 92 0.6× 26 0.3× 35 0.4× 73 1.1× 12 360
Zhengdong Liang United States 12 269 0.9× 49 0.3× 59 0.6× 47 0.5× 59 0.9× 26 512
Szu-Yu Kuo Taiwan 10 228 0.7× 57 0.4× 46 0.5× 33 0.4× 80 1.2× 15 497
Susmita Chakrabarti United States 16 529 1.7× 35 0.2× 149 1.5× 118 1.3× 96 1.4× 20 891
Kathrin Krakauer United States 9 144 0.5× 66 0.4× 50 0.5× 38 0.4× 76 1.1× 11 402
Ann‐Marie Simeone United States 11 208 0.7× 66 0.4× 96 1.0× 69 0.8× 44 0.6× 13 399

Countries citing papers authored by Steven J. Cok

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Cok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Cok. 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 Steven J. Cok. The network helps show where Steven J. Cok may publish in the future.

Co-authorship network of co-authors of Steven J. Cok

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

All Works

10 of 10 papers shown
1.
2.
Lui, Paul D., et al.. (2004). Effects of p38MAPK isoforms on renal mesangial cell inducible nitric oxide synthase expression. American Journal of Physiology-Cell Physiology. 286(1). C145–C152. 12 indexed citations
3.
4.
Yu, Qing, Steven J. Cok, Chenbo Zeng, & Aubrey R. Morrison. (2003). Translational Repression of Human Matrix Metalloproteinases-13 by an Alternatively Spliced Form of T-cell-restricted Intracellular Antigen-related Protein (TIAR). Journal of Biological Chemistry. 278(3). 1579–1584. 55 indexed citations
5.
Cok, Steven J. & Aubrey R. Morrison. (2001). The 3′-Untranslated Region of Murine Cyclooxygenase-2 Contains Multiple Regulatory Elements That Alter Message Stability and Translational Efficiency. Journal of Biological Chemistry. 276(25). 23179–23185. 185 indexed citations
6.
Cok, Steven J. & Aubrey R. Morrison. (2001). The 3′-untranslated region of murine cyclooxygenase-2 contains multiple regulatory elements that alter message stability and translational efficiency.. Journal of Biological Chemistry. 276(43). 40368–40368. 4 indexed citations
7.
Cok, Steven J., et al.. (1998). Transcription of INO2 and INO4 is regulated by the state of protein N-myristoylation in Saccharomyces cerevisiae. Nucleic Acids Research. 26(12). 2865–2872. 11 indexed citations
8.
Cok, Steven J., Rick V. Hay, & John A. Holt. (1997). Estrogen-Mediated Mitochondrial Cholesterol Transport and Metabolism to Pregnenolone in the Rabbit Luteinized Ovary1. Biology of Reproduction. 57(2). 360–366. 4 indexed citations
9.
Johnson, D R, Steven J. Cok, Horst Feldmann, & Jeffrey I. Gordon. (1994). Suppressors of nmtl-181, a conditional lethal allele of the Saccharomyces cerevisiae myristoyl-CoA:protein N-myristoyltransferase gene, reveal proteins involved in regulating protein N-myristoylation.. Proceedings of the National Academy of Sciences. 91(21). 10158–10162. 20 indexed citations
10.
Moutsatsos, Ioannis K. & Steven J. Cok. (1985). A “hanging” coverslip method for cell surface iodination of monolayer cultures. Analytical Biochemistry. 148(2). 408–412. 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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