R. P. Deis

91 total papers · 1.5k total citations
81 papers, 1.3k citations indexed

About

R. P. Deis is a scholar working on Endocrinology, Diabetes and Metabolism, Social Psychology and Genetics. According to data from OpenAlex, R. P. Deis has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 24 papers in Social Psychology and 23 papers in Genetics. Recurrent topics in R. P. Deis's work include Neuroendocrine regulation and behavior (24 papers), Growth Hormone and Insulin-like Growth Factors (24 papers) and Estrogen and related hormone effects (19 papers). R. P. Deis is often cited by papers focused on Neuroendocrine regulation and behavior (24 papers), Growth Hormone and Insulin-like Growth Factors (24 papers) and Estrogen and related hormone effects (19 papers). R. P. Deis collaborates with scholars based in Argentina, United States and Canada. R. P. Deis's co-authors include Carlos Telleria, Graciela A. Jahn, Leonardo E. Bussmann, Carlos Stocco, Marta Soaje, Rubén W. Carón, Alicia A. Goyeneche, Daniel Carrizo, Geula Gibori and Claude Delouis and has published in prestigious journals such as Nature, The Journal of Physiology and Biochemical Journal.

In The Last Decade

R. P. Deis

79 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
R. P. Deis 386 382 341 284 247 81 1.3k
I. JOHN DAVIES 367 1.0× 500 1.3× 617 1.8× 294 1.0× 203 0.8× 33 1.7k
Reinhart B. Billiar 323 0.8× 366 1.0× 383 1.1× 151 0.5× 111 0.4× 90 1.5k
Reid L. Norman 341 0.9× 806 2.1× 351 1.0× 234 0.8× 234 0.9× 45 1.6k
Nahid Parvizi 264 0.7× 325 0.9× 329 1.0× 160 0.6× 598 2.4× 104 1.8k
P. van der Schoot 244 0.6× 405 1.1× 321 0.9× 262 0.9× 71 0.3× 68 1.2k
C. H. Sawyer 325 0.8× 653 1.7× 181 0.5× 407 1.4× 169 0.7× 76 1.6k
Barry G. Kasson 329 0.9× 327 0.9× 164 0.5× 225 0.8× 138 0.6× 40 1.2k
Kellie M. Breen 219 0.6× 816 2.1× 257 0.8× 341 1.2× 418 1.7× 47 1.7k
Marylynn Barkley 340 0.9× 229 0.6× 310 0.9× 252 0.9× 74 0.3× 36 1.5k
Richard F. Weick 287 0.7× 835 2.2× 295 0.9× 236 0.8× 270 1.1× 36 1.3k

Countries citing papers authored by R. P. Deis

Since Specialization
Citations

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

Fields of papers citing papers by R. P. Deis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. P. Deis. 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 R. P. Deis. The network helps show where R. P. Deis may publish in the future.

Co-authorship network of co-authors of R. P. Deis

This figure shows the co-authorship network connecting the top 25 collaborators of R. P. Deis. A scholar is included among the top collaborators of R. P. Deis 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 R. P. Deis. R. P. Deis 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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