Fernando Calahorro

40 total papers · 688 total citations
25 papers, 457 citations indexed

About

Fernando Calahorro is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Fernando Calahorro has authored 25 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aging, 10 papers in Molecular Biology and 10 papers in Endocrine and Autonomic Systems. Recurrent topics in Fernando Calahorro's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Circadian rhythm and melatonin (10 papers) and Autism Spectrum Disorder Research (5 papers). Fernando Calahorro is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), Circadian rhythm and melatonin (10 papers) and Autism Spectrum Disorder Research (5 papers). Fernando Calahorro collaborates with scholars based in United Kingdom, Spain and United States. Fernando Calahorro's co-authors include Manuel Ruiz‐Rubio, Robert Walker, А. S. Pivovarov, Lindy Holden‐Dye, Vincent O’Connor, James Dillon, Richard J. Edwards, Takeshi Ishihara, Ángeles Alonso-Moraga and Christopher J. Franks and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Fernando Calahorro

25 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Fernando Calahorro	215	144	107	81	65	25	457
Shachar Iwanir	198 0.9×	160 1.1×	168 1.6×	148 1.8×	57 0.9×	11	409
Gareth Harris	421 2.0×	72 0.5×	342 3.2×	142 1.8×	68 1.0×	17	536
Alexandre Dal‐Pan	95 0.4×	94 0.7×	61 0.6×	41 0.5×	316 4.9×	14	544
Pavel Houdek	32 0.1×	104 0.7×	227 2.1×	84 1.0×	138 2.1×	30	482
Penny W. Burgoon	76 0.4×	80 0.6×	398 3.7×	197 2.4×	123 1.9×	15	513
Julia Marchal	100 0.5×	94 0.7×	43 0.4×	30 0.4×	230 3.5×	11	429
Jéssika Cristina Bridi	61 0.3×	140 1.0×	37 0.3×	172 2.1×	102 1.6×	17	533
C. Janse	50 0.2×	52 0.4×	57 0.5×	310 3.8×	28 0.4×	36	478
Stéphanie Dumont	72 0.3×	73 0.5×	350 3.3×	93 1.1×	268 4.1×	14	484
Kyoung-hye Yoon	61 0.3×	170 1.2×	28 0.3×	116 1.4×	30 0.5×	22	503

Countries citing papers authored by Fernando Calahorro

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Calahorro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Calahorro

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