Felipe San-Blas

50 total papers · 1.1k total citations
46 papers, 847 citations indexed

About

Felipe San-Blas is a scholar working on Epidemiology, Molecular Biology and Plant Science. According to data from OpenAlex, Felipe San-Blas has authored 46 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 27 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in Felipe San-Blas's work include Fungal Infections and Studies (32 papers), Yeasts and Rust Fungi Studies (15 papers) and Pineapple and bromelain studies (8 papers). Felipe San-Blas is often cited by papers focused on Fungal Infections and Studies (32 papers), Yeasts and Rust Fungi Studies (15 papers) and Pineapple and bromelain studies (8 papers). Felipe San-Blas collaborates with scholars based in Venezuela, Mexico and United Kingdom. Felipe San-Blas's co-authors include Gioconda San-Blas, Lucyna Cova, Gustavo A. Niño‐Vega, D. W. R. Mackenzie, Rafael Apitz‐Castro, Anna Maria Calcagno, Jorge Hallak, Francisco Javier Martín Gil, Leonardo Mariño and Neil A. R. Gow and has published in prestigious journals such as Journal of Bacteriology, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Felipe San-Blas

44 papers receiving 782 citations

Author Peers

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

Author						Papers	Cites
Felipe San-Blas	558	348	302	255	208	46	847
Luis M. Carbonell	609 1.1×	445 1.3×	277 0.9×	322 1.3×	188 0.9×	34	988
Arturo Flores-Carreón	472 0.8×	323 0.9×	440 1.5×	262 1.0×	117 0.6×	42	864
Andoni Ramirez‐Garcia	290 0.5×	345 1.0×	523 1.7×	212 0.8×	140 0.7×	46	1.0k
T. Tristan Brandhorst	571 1.0×	254 0.7×	435 1.4×	292 1.1×	162 0.8×	31	981
Tamio Hiratani	251 0.4×	351 1.0×	227 0.8×	184 0.7×	133 0.6×	46	812
Luís Castillo	313 0.6×	291 0.8×	453 1.5×	234 0.9×	79 0.4×	37	843
Leona T. Campbell	400 0.7×	214 0.6×	283 0.9×	190 0.7×	114 0.5×	24	839
F. W. Chattaway	270 0.5×	318 0.9×	327 1.1×	153 0.6×	111 0.5×	35	904
Julhiany de Fátima da Silva	630 1.1×	231 0.7×	563 1.9×	189 0.7×	136 0.7×	40	1.0k
Christoph Sasse	278 0.5×	396 1.1×	469 1.6×	206 0.8×	119 0.6×	27	847

Countries citing papers authored by Felipe San-Blas

Since Specialization

Citations

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

Fields of papers citing papers by Felipe San-Blas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe San-Blas. 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 Felipe San-Blas. The network helps show where Felipe San-Blas may publish in the future.

Co-authorship network of co-authors of Felipe San-Blas

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe San-Blas. A scholar is included among the top collaborators of Felipe San-Blas 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 Felipe San-Blas. Felipe San-Blas 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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