Felipe San-Blas

1.1k total citations
46 papers, 848 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 848 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 Plant Pathogens and Fungal Diseases (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 Plant Pathogens and Fungal Diseases (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, Francisco Javier Martín Gil, Jorge Hallak, 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 792 citations

Peers

Felipe San-Blas
Comparison fields: 5 of 67
  • Epidemiology 559
  • Molecular Biology 348
  • Infectious Diseases 303
  • Plant Science 255
  • Cell Biology 208
Replace Leona T. Campbell with:
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C. N. Okeke Nigeria
Sarah R. Beattie United States
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Fabio Gsaller Austria
Nina Dabrowa United States
Raghav Vij United States
Ildikó Nyilasi Hungary
Leona T. Campbell Australia View profile →
Citations per field, relative to Felipe San-Blas
Felipe San-Blas · 1×
Citations per year, relative to Felipe San-Blas
Felipe San-Blas · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 33
3 3
4 30
5 6
6 12
7 26
8 8
9 8
10 25
11 26
12 29
13 11
14
Biology of Paracoccidioides brasiliensis.
3
15 47
16
[A model of dimorphism in pathogenic fungi: Paracoccidioides brasiliensis].
9
17
Interstrain lethality in Paracoccidioides brasiliensis.
1
18 22
19 41
20 36

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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