Federico Casares

33 total papers · 921 total citations
32 papers, 781 citations indexed

About

Federico Casares is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Federico Casares has authored 32 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Federico Casares's work include Neuropeptides and Animal Physiology (14 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Receptor Mechanisms and Signaling (7 papers). Federico Casares is often cited by papers focused on Neuropeptides and Animal Physiology (14 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Receptor Mechanisms and Signaling (7 papers). Federico Casares collaborates with scholars based in United States, Italy and Belgium. Federico Casares's co-authors include George B. Stefano, Kirk J. Mantione, Thomas V. Bilfinger, Wei Zhu, Patrick Cadet, Michael S. Goligorsky, Yu Liu, Harold I. Magazine, Alan Hartman and Yannick Goumon and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Federico Casares

32 papers receiving 721 citations

Author Peers

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

Author Last Decade Papers Cites
Federico Casares 424 328 235 84 47 32 781
Massimo Guarna 382 0.9× 281 0.9× 262 1.1× 87 1.0× 37 0.8× 33 707
Martha León‐Olea 275 0.6× 188 0.6× 209 0.9× 79 0.9× 44 0.9× 50 716
John D. Stephenson 402 0.9× 197 0.6× 199 0.8× 69 0.8× 77 1.6× 47 880
C.W.T. Pilcher 380 0.9× 235 0.7× 261 1.1× 54 0.6× 45 1.0× 41 736
Friedrich‐Karl Pierau 438 1.0× 228 0.7× 374 1.6× 92 1.1× 36 0.8× 27 905
C. W. Gowdey 377 0.9× 280 0.9× 151 0.6× 90 1.1× 36 0.8× 68 849
S. P. Mann 369 0.9× 314 1.0× 132 0.6× 53 0.6× 108 2.3× 44 897
Daniel Herrera 324 0.8× 245 0.7× 88 0.4× 80 1.0× 26 0.6× 29 862
Dario Sonetti 321 0.8× 195 0.6× 153 0.7× 87 1.0× 25 0.5× 34 650
Ann D. Crocker 401 0.9× 261 0.8× 91 0.4× 108 1.3× 89 1.9× 36 779

Countries citing papers authored by Federico Casares

Since Specialization
Citations

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

Fields of papers citing papers by Federico Casares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Casares

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Casares. A scholar is included among the top collaborators of Federico Casares 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 Federico Casares. Federico Casares 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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