Fernando Leiva‐Cepas

62 total papers · 795 total citations
30 papers, 400 citations indexed

About

Fernando Leiva‐Cepas is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Fernando Leiva‐Cepas has authored 30 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Fernando Leiva‐Cepas's work include Muscle Physiology and Disorders (6 papers), Innovations in Medical Education (4 papers) and Health Policy Implementation Science (2 papers). Fernando Leiva‐Cepas is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Innovations in Medical Education (4 papers) and Health Policy Implementation Science (2 papers). Fernando Leiva‐Cepas collaborates with scholars based in Spain, United States and Chile. Fernando Leiva‐Cepas's co-authors include José Peña, Ignacio Jimena, Ignacio Ruz‐Caracuel, Evelio Luque, Carmen Herencia, Ana M. Ortiz-Morales, Esperanza Romero‐Rodríguez, Yolanda Almadén, José García and Sara Fernández López and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Fernando Leiva‐Cepas

23 papers receiving 354 citations

Author Peers

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

Author						Papers	Cites
Fernando Leiva‐Cepas	170	57	55	52	50	30	400
R. Bauer	78 0.5×	88 1.5×	36 0.7×	58 1.1×	51 1.0×	33	441
Kim Hart	156 0.9×	27 0.5×	53 1.0×	33 0.6×	41 0.8×	17	424
Alan R. Seay	126 0.7×	65 1.1×	33 0.6×	30 0.6×	19 0.4×	20	390
Daniel Feinberg	166 1.0×	50 0.9×	16 0.3×	62 1.2×	35 0.7×	25	432
M Badenhorst	161 0.9×	31 0.5×	112 2.0×	36 0.7×	33 0.7×	20	367
Guifeng Zhao	182 1.1×	103 1.8×	25 0.5×	50 1.0×	47 0.9×	30	436
Božo Krušlin	117 0.7×	67 1.2×	28 0.5×	45 0.9×	40 0.8×	47	431
Shay Ben‐Shachar	147 0.9×	58 1.0×	107 1.9×	53 1.0×	47 0.9×	25	390
Ji‐Man Hong	123 0.7×	24 0.4×	54 1.0×	35 0.7×	35 0.7×	40	345
Hugo Sampaio	217 1.3×	100 1.8×	87 1.6×	32 0.6×	176 3.5×	28	416

Countries citing papers authored by Fernando Leiva‐Cepas

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Leiva‐Cepas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Leiva‐Cepas

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