G. Stephen DeCherney

48 total papers · 1.8k total citations
36 papers, 1.4k citations indexed

About

G. Stephen DeCherney is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Social Psychology. According to data from OpenAlex, G. Stephen DeCherney has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Behavioral Neuroscience and 5 papers in Social Psychology. Recurrent topics in G. Stephen DeCherney's work include Stress Responses and Cortisol (11 papers), Adrenal Hormones and Disorders (9 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). G. Stephen DeCherney is often cited by papers focused on Stress Responses and Cortisol (11 papers), Adrenal Hormones and Disorders (9 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). G. Stephen DeCherney collaborates with scholars based in United States and Russia. G. Stephen DeCherney's co-authors include David N. Orth, C. ROWAN DEBOLD, Richard V. Jackson, A. NANCYE ALEXANDER, Wylie Vale, W. R. Sheldon, Jean Rivier, Donald P. Island, Joachim Spiess and Catherine Rivier and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

G. Stephen DeCherney

34 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Stephen DeCherney 870 640 220 196 169 36 1.4k
Dennis Engler 646 0.7× 463 0.7× 340 1.5× 156 0.8× 82 0.5× 32 1.4k
Andreas Körner 356 0.4× 491 0.8× 127 0.6× 188 1.0× 110 0.7× 27 1.4k
Yutaka Oki 344 0.4× 633 1.0× 287 1.3× 203 1.0× 106 0.6× 53 1.1k
Teruya Yoshimi 364 0.4× 275 0.4× 116 0.5× 218 1.1× 133 0.8× 46 1.1k
M. J. Ellis 326 0.4× 286 0.4× 111 0.5× 203 1.0× 106 0.6× 37 1.1k
Klaus-Jürgen Gräf 652 0.7× 339 0.5× 68 0.3× 127 0.6× 122 0.7× 48 1.7k
A. P. S. DHARIWAL 384 0.4× 254 0.4× 184 0.8× 81 0.4× 121 0.7× 41 1.1k
David M. Cook 780 0.9× 198 0.3× 69 0.3× 159 0.8× 140 0.8× 18 1.2k
Tatsuya Nishioka 220 0.3× 379 0.6× 299 1.4× 116 0.6× 142 0.8× 66 1.4k
SR Bornstein 548 0.6× 343 0.5× 79 0.4× 247 1.3× 180 1.1× 54 1.7k

Countries citing papers authored by G. Stephen DeCherney

Since Specialization
Citations

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

Fields of papers citing papers by G. Stephen DeCherney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Stephen DeCherney

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

All Works

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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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