Sam Okret

11.0k citations
120 papers · 9.2k indexed · 2 hit papers · h-index 50

Sam Okret

120 papers receiving 8.9k citations

Hit Papers

Genetic complementation of a glucocorticoid receptor defi...6301983202619972011200400600

Peers

Sam Okret
Comparison fields: 5 of 132
  • Behavioral Neuroscience 2.1k
  • Endocrinology, Diabetes and Metabolism 2.6k
  • Genetics 3.4k
  • Biological Psychiatry 220
  • Immunology 1.5k
Replace Wolfgang Schmid with:
Wolfgang Schmid Germany
Michael J. Garabedian United States
E.E. Baulieu France
Markku Pelto‐Huikko Finland
G. Schütz Germany
Robert H. Oakley United States
Louise M. Bilezikjian United States
Van Luu‐The Canada
Maria Dufau United States
Eduardo Arzt Argentina
Sam Okret relative to Wolfgang Schmid Germany Wolfgang Schmid's profile →
Citations per field
00.5×1.5×1.9×
Wolfgang Schmid · 1×
Citations per year

Countries citing papers authored by Sam Okret

Since Specialization
Citations

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

Fields of papers citing papers by Sam Okret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sam Okret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sam Okret Line = papers co-authored together Sam Okret links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 201818
3 201611
4 201517
5 20123
6 200844
7 200826
8 20056
9 200322
10 200222
11 200231
12 200138
13 199982
14 199982
15 199367
16 199373
17 199222
18 198775
19 198410
20
Estradiol receptor analysis in human breast cancer tissue by isoelectric focusing in polyacrylamide gel.
197845

About Sam Okret

Sam Okret is a scholar working on Behavioral Neuroscience, Genetics and Endocrinology, Diabetes and Metabolism, having authored 120 papers that have together received 9.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (58 papers), Hormonal Regulation and Hypertension (19 papers), T-cell and B-cell Immunology (19 papers), Adrenal Hormones and Disorders (18 papers), NF-κB Signaling Pathways (16 papers), Receptor Mechanisms and Signaling (15 papers), Stress Responses and Cortisol (13 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Behavioral Neuroscience (2.1k citations), Endocrinology, Diabetes and Metabolism (2.6k citations) and Genetics (3.4k citations). Sam Okret has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Jan-Ακε Gustafsson, Örjan Wränge, Kjell Fuxé, Keith R. Yamamoto, Mikael Jondal, A C Wikström, Lorenz Poellinger, A. Cintra, Yu Dong and Jan Carlstedt‐Duke. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Endocrinology, The FASEB Journal and The Journal of Steroid Biochemistry and Molecular Biology.

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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