S C Low

1.1k total citations
10 papers, 807 citations indexed

About

S C Low is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, S C Low has authored 10 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 2 papers in Behavioral Neuroscience. Recurrent topics in S C Low's work include Hormonal Regulation and Hypertension (4 papers), Stress Responses and Cortisol (2 papers) and RNA modifications and cancer (1 paper). S C Low is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Stress Responses and Cortisol (2 papers) and RNA modifications and cancer (1 paper). S C Low collaborates with scholars based in United Kingdom and United States. S C Low's co-authors include Karen E. Chapman, Christopher R.W. Edwards, Jonathan R. Seckl, Alan J. Bitonti, M J Berry, Jennifer Dumont, P. Reed Larsen, Walburga Croteau, John W. Harney and Donald L. St. Germain and has published in prestigious journals such as Journal of Clinical Investigation, The EMBO Journal and Human Reproduction.

In The Last Decade

S C Low

9 papers receiving 773 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 C Low United Kingdom 9 409 285 161 85 79 10 807
Nelson Fuentes United States 11 91 0.2× 187 0.7× 30 0.2× 21 0.2× 21 0.3× 16 754
S. S. Chernick United States 15 259 0.6× 372 1.3× 99 0.6× 26 0.3× 9 0.1× 22 957
Hosea F. S. Huang United States 20 108 0.3× 273 1.0× 41 0.3× 81 1.0× 10 0.1× 32 834
Dagmar Bartos United States 13 40 0.1× 268 0.9× 27 0.2× 41 0.5× 82 1.0× 28 588
Claudia G. Pellizas Argentina 20 463 1.1× 319 1.1× 17 0.1× 66 0.8× 4 0.1× 46 932
T Fujita Japan 11 101 0.2× 228 0.8× 30 0.2× 13 0.2× 14 0.2× 27 557
J M Grognet France 10 61 0.1× 212 0.7× 40 0.2× 14 0.2× 64 0.8× 19 498
Georgette Howard United States 16 104 0.3× 543 1.9× 28 0.2× 21 0.2× 11 0.1× 25 863
Alfred L. Kennan United States 10 126 0.3× 212 0.7× 81 0.5× 72 0.8× 21 0.3× 25 704
Rucha Patel Canada 11 135 0.3× 268 0.9× 42 0.3× 28 0.3× 6 0.1× 16 640

Countries citing papers authored by S C Low

Since Specialization
Citations

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

Fields of papers citing papers by S C Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S C Low

This figure shows the co-authorship network connecting the top 25 collaborators of S C Low. A scholar is included among the top collaborators of S C Low 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 C Low. S C Low 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
2.
Peters, Robert, Garabet G. Toby, Qi Lü, et al.. (2012). Biochemical and functional characterization of a recombinant monomeric factor VIII–Fc fusion protein. Journal of Thrombosis and Haemostasis. 11(1). 132–141. 97 indexed citations
3.
Low, S C, et al.. (2005). Oral and pulmonary delivery of FSH–Fc fusion proteins via neonatal Fc receptor-mediated transcytosis. Human Reproduction. 20(7). 1805–1813. 90 indexed citations
4.
Low, S C. (2000). SECIS-SBP2 interactions dictate selenocysteine incorporation efficiency and selenoprotein hierarchy. The EMBO Journal. 19(24). 6882–6890. 134 indexed citations
5.
Berry, M J, Glover W. Martin, & S C Low. (1997). RNA and protein requirements for eukaryotic selenoprotein synthesis.. PubMed. 10(2-3). 182–9. 16 indexed citations
6.
Salvatore, Domenico, S C Low, M J Berry, et al.. (1995). Type 3 lodothyronine deiodinase: cloning, in vitro expression, and functional analysis of the placental selenoenzyme.. Journal of Clinical Investigation. 96(5). 2421–2430. 150 indexed citations
7.
Low, S C, Karen E. Chapman, Christopher R.W. Edwards, & Jonathan R. Seckl. (1994). 'Liver-type' 11β-hydroxysteroid dehydrogenase cDNA encodes reductase but not dehydrogenase activity in intact mammalian COS-7 cells. Journal of Molecular Endocrinology. 13(2). 167–174. 92 indexed citations
8.
Low, S C, Karen E. Chapman, Christopher R.W. Edwards, et al.. (1994). Sexual dimorphism of hepatic 11β-hydroxysteroid dehydrogenase in the rat: the role of growth hormone patterns. Journal of Endocrinology. 143(3). 541–548. 96 indexed citations
9.
Low, S C, Souad Assaad, Valanila P. Rajan, et al.. (1993). Regulation of 11β-hydroxysteroid dehydrogenase by sex steroids in vivo: further evidence for the existence of a second dehydrogenase in rat kidney. Journal of Endocrinology. 139(1). 27–35. 103 indexed citations
10.
Seckl, Jonathan R., R. C. Dow, S C Low, C.R.W. Edwards, & George Fink. (1993). The 11β-hydroxysteroid dehydrogenase inhibitor glycyrrhetinic acid affects corticosteroid feedback regulation of hypothalamic corticotrophin-releasing peptides in rats. Journal of Endocrinology. 136(3). 471–NP. 29 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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