S. Stoney Simons

7.1k total citations
149 papers, 6.0k citations indexed

About

S. Stoney Simons is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, S. Stoney Simons has authored 149 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Genetics, 91 papers in Molecular Biology and 49 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in S. Stoney Simons's work include Estrogen and related hormone effects (105 papers), Hormonal Regulation and Hypertension (41 papers) and Receptor Mechanisms and Signaling (38 papers). S. Stoney Simons is often cited by papers focused on Estrogen and related hormone effects (105 papers), Hormonal Regulation and Hypertension (41 papers) and Receptor Mechanisms and Signaling (38 papers). S. Stoney Simons collaborates with scholars based in United States, Switzerland and United Kingdom. S. Stoney Simons's co-authors include David Johnson, Pradip K. Chakraborti, E. Brad Thompson, Daniele Szapary, Hisaji Oshima, Howard J. Eisen, William B. Pratt, John A. Blackford, Alice Cavanaugh and Keith R. Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

S. Stoney Simons

147 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Stoney Simons United States 43 3.5k 3.1k 1.4k 826 697 149 6.0k
William T. Schrader United States 44 3.2k 0.9× 3.8k 1.2× 1.4k 1.0× 729 0.9× 457 0.7× 96 6.3k
Eugene R. DeSombre United States 33 1.9k 0.5× 3.1k 1.0× 714 0.5× 630 0.8× 767 1.1× 87 5.2k
Elwood V. Jensen United States 39 2.6k 0.7× 3.9k 1.3× 1.0k 0.7× 628 0.8× 1.2k 1.7× 88 6.8k
E.M. Chambaz France 47 3.9k 1.1× 819 0.3× 1.1k 0.8× 309 0.4× 582 0.8× 194 6.0k
A.C.W. Pike United Kingdom 38 4.5k 1.3× 4.6k 1.5× 874 0.6× 408 0.5× 1.2k 1.8× 60 8.5k
Jörge R. Pasqualini France 35 1.7k 0.5× 3.4k 1.1× 1.4k 1.0× 625 0.8× 838 1.2× 208 5.4k
Angelο C. Notides United States 37 1.9k 0.5× 2.5k 0.8× 587 0.4× 357 0.4× 480 0.7× 66 3.9k
Philip Feigelson United States 47 3.5k 1.0× 1.0k 0.3× 1.2k 0.9× 248 0.3× 395 0.6× 157 6.4k
O M Rosen United States 55 9.2k 2.6× 964 0.3× 1.6k 1.1× 680 0.8× 870 1.2× 127 12.1k
Shutsung Liao United States 38 2.4k 0.7× 1.3k 0.4× 1.7k 1.2× 198 0.2× 691 1.0× 72 5.4k

Countries citing papers authored by S. Stoney Simons

Since Specialization
Citations

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

Fields of papers citing papers by S. Stoney Simons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Stoney Simons

This figure shows the co-authorship network connecting the top 25 collaborators of S. Stoney Simons. A scholar is included among the top collaborators of S. Stoney Simons 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 S. Stoney Simons. S. Stoney Simons 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.
Nie, Zuqin, Chunhua Guo, Subhendu Das, et al.. (2020). Dissecting transcriptional amplification by MYC. eLife. 9. 49 indexed citations
2.
3.
Chow, Carson C., et al.. (2010). Inferring Mechanisms from Dose–Response Curves. Methods in enzymology on CD-ROM/Methods in enzymology. 487. 465–483. 22 indexed citations
4.
Sun, Yunguang, Yongguang Tao, Benjamin L. Kagan, Yuanzheng He, & S. Stoney Simons. (2008). Modulation of transcription parameters in glucocorticoid receptor-mediated repression. Molecular and Cellular Endocrinology. 295(1-2). 59–69. 21 indexed citations
5.
Chen, Jun, John A. Blackford, & S. Stoney Simons. (2004). PCR expression mutagenesis: a high-throughput mutation assay applied to the glucocorticoid receptor ligand-binding domain. Biochemical and Biophysical Research Communications. 321(4). 893–899. 4 indexed citations
6.
Chen, Shi‐You & S. Stoney Simons. (2003). A second pathway for modulating glucocorticoid receptor transactivation properties. Molecular and Cellular Endocrinology. 199(1-2). 129–142. 5 indexed citations
7.
Murphy, Patrick J., Yoshihiro Morishima, Haifeng Chen, et al.. (2003). Visualization and Mechanism of Assembly of a Glucocorticoid Receptor·Hsp70 Complex That Is Primed for Subsequent Hsp90-dependent Opening of the Steroid Binding Cleft. Journal of Biological Chemistry. 278(37). 34764–34773. 40 indexed citations
8.
9.
Song, Liang‐Nian, et al.. (2001). Transactivation Specificity of Glucocorticoid VersusProgesterone Receptors. Journal of Biological Chemistry. 276(27). 24806–24816. 36 indexed citations
10.
Chen, Shi‐You, Nicholas J. Sarlis, & S. Stoney Simons. (2000). Evidence for a Common Step in Three Different Processes for Modulating the Kinetic Properties of Glucocorticoid Receptor-induced Gene Transcription. Journal of Biological Chemistry. 275(39). 30106–30117. 37 indexed citations
11.
Giannoukos, Georgia, Adam M. Silverstein, William B. Pratt, & S. Stoney Simons. (1999). The Seven Amino Acids (547–553) of Rat Glucocorticoid Receptor Required for Steroid and Hsp90 Binding Contain a Functionally Independent LXXLL Motif That Is Critical for Steroid Binding. Journal of Biological Chemistry. 274(51). 36527–36536. 40 indexed citations
12.
Zeng, Huawei, David A. Jackson, Hisaji Oshima, & S. Stoney Simons. (1998). Cloning and Characterization of a Novel Binding Factor (GMEB-2) of the Glucocorticoid Modulatory Element. Journal of Biological Chemistry. 273(28). 17756–17762. 31 indexed citations
13.
Jackson, David A., et al.. (1998). Modulation of TAT gene induction by glucocorticoids involves a neutralizing sequence. The Journal of Steroid Biochemistry and Molecular Biology. 66(3). 79–91. 15 indexed citations
14.
Szapary, Daniele, Ming Xu, & S. Stoney Simons. (1996). Induction Properties of a Transiently Transfected Glucocorticoid-responsive Gene Vary with Glucocorticoid Receptor Concentration. Journal of Biological Chemistry. 271(48). 30576–30582. 73 indexed citations
15.
Simons, S. Stoney & William B. Pratt. (1995). [39] Glucocorticoid receptor thiols andsteroid-binding activity. Methods in enzymology on CD-ROM/Methods in enzymology. 251. 406–422. 41 indexed citations
16.
Cavanaugh, Alice & S. Stoney Simons. (1994). Factor-assisted DNA binding as a possible general mechanism for steroid receptors. Functional heterogeneity among activated receptor-steroid complexes. The Journal of Steroid Biochemistry and Molecular Biology. 48(5-6). 433–446. 12 indexed citations
17.
Chakraborti, Pradip K. & S. Stoney Simons. (1991). Association of heat shock protein 90 with the 16 kDa steroid binding core fragment of rat glucocorticoid receptors. Biochemical and Biophysical Research Communications. 176(3). 1338–1344. 26 indexed citations
20.
Miller, Patricia A. & S. Stoney Simons. (1988). Comparison of Glucocorticoid Receptors in Two Rat Hepatoma Cell Lines with Different Sensitivities to Glucocorticoids and Antiglucocorticoids. Endocrinology. 122(6). 2990–2998. 17 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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