R. Devés

51 papers receiving 1.6k citations

Peers

R. Devés
Comparison fields: 5 of 103
  • Biochemistry 701
  • Clinical Biochemistry 297
  • Physiology 452
  • Physiology 56
  • Molecular Biology 794
Replace Takahiro Hatanaka with:
Takahiro Hatanaka United States
Shin‐ichi Akanuma Japan
Thomas R. Riggs United States
Gary V. Richieri United States
Michael A. Sweetland United States
Edward F. LaBelle United States
Michael T. Forrester United States
Anca D. Petrescu United States
William P. Dubinsky United States
Naoko Utsunomiya‐Tate Japan
R. Devés relative to Takahiro Hatanaka United States Takahiro Hatanaka's profile →
Citations per field
00.5×4.4×
Takahiro Hatanaka · 1×
Citations per year

Countries citing papers authored by R. Devés

Since Specialization
Citations

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

Fields of papers citing papers by R. Devés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside R. Devés, 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 R. Devés Line = papers co-authored together R. Devés links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998409
2 2000153
3 1992149
4 1978123
5 199385
6 197966
7 198162
8 199461
9 197952
10 200029
11 197828
12 197925
13 198024
14 198324
15 198623
16 198022
17 198022
18 198121
19 199821
20 197819

About R. Devés

R. Devés is a scholar working on Molecular Biology, Physiology, Biochemistry, Oncology and Spectroscopy, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (13 papers), Erythrocyte Function and Pathophysiology (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Lipid Membrane Structure and Behavior (10 papers), Molecular Sensors and Ion Detection (7 papers), Neonatal Health and Biochemistry (7 papers), Metabolism and Genetic Disorders (6 papers) and Enzyme function and inhibition (6 papers). The work is most often cited by research in Biochemistry (701 citations), Clinical Biochemistry (297 citations), Physiology (452 citations), Physiology (56 citations) and Molecular Biology (794 citations). R. Devés has collaborated with scholars based in Chile, Canada and United Kingdom. Frequent co-authors include C.A.R. Boyd, R. M. Krupka, N. Eleno, Arnold F. Brodie, Ana M. Rojas, Yoshihisa Kudo, Gianfranco Sebastio, Marı́a Inés Forray, Carlos E. Irarrázabal and Z. Ioav Cabantchik. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Membrane Biology, Journal of Biological Chemistry, The Journal of Physiology and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact