F Huidobro

84 total papers · 641 total citations
40 papers, 446 citations indexed

About

F Huidobro is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, F Huidobro has authored 40 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Physiology and 6 papers in Molecular Biology. Recurrent topics in F Huidobro's work include Neuropeptides and Animal Physiology (11 papers), Pain Mechanisms and Treatments (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). F Huidobro is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Pain Mechanisms and Treatments (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). F Huidobro collaborates with scholars based in Chile and United States. F Huidobro's co-authors include J. Pablo Huidobro‐Toro, Hugo F. Miranda, E. Leong Way, E Contreras, John J. Lewin, H. Croxatto, J. Roblero, Germán Larrain, C. Eyzaguirre and C Diez and has published in prestigious journals such as Nature, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.

In The Last Decade

F Huidobro

40 papers receiving 408 citations

Author Peers

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

Author						Papers	Cites
F Huidobro	328	218	119	74	46	40	446
C Morpurgo	240 0.7×	163 0.7×	61 0.5×	53 0.7×	39 0.8×	32	462
P A Nasmyth	161 0.5×	220 1.0×	108 0.9×	89 1.2×	29 0.6×	29	479
Th. Duka	267 0.8×	171 0.8×	71 0.6×	36 0.5×	45 1.0×	20	431
Manizheh Karami	204 0.6×	90 0.4×	94 0.8×	66 0.9×	27 0.6×	44	385
Akira Yoshimi	158 0.5×	197 0.9×	62 0.5×	45 0.6×	64 1.4×	54	492
Teruko Nomoto	228 0.7×	137 0.6×	145 1.2×	43 0.6×	20 0.4×	52	404
N. Pecora	241 0.7×	179 0.8×	84 0.7×	25 0.3×	51 1.1×	24	473
Morteza Karimian	127 0.4×	109 0.5×	102 0.9×	33 0.4×	59 1.3×	38	459
Dong Ook Seo	125 0.4×	144 0.7×	63 0.5×	54 0.7×	78 1.7×	19	385
Carole A. Wilmot	270 0.8×	160 0.7×	87 0.7×	52 0.7×	45 1.0×	16	466

Countries citing papers authored by F Huidobro

Since Specialization

Citations

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

Fields of papers citing papers by F Huidobro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Huidobro

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