Fernando Cháves

9.4k citations
180 papers · 6.2k · h-index 45

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 31
    • Tuberculosis Research and Epidemiology 16
    • Infective Endocarditis Diagnosis and Management 17

Fernando Cháves

176 papers receiving 6.1k citations

Peers

Fernando Cháves
Comparison fields: 5 of 154
  • Virology 921
  • Molecular Medicine 933
  • Applied Microbiology and Biotechnology 197
  • Infectious Diseases 1.7k
  • Endocrinology 451
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Mark A. Holmes United Kingdom
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Citations per year

Countries citing papers authored by Fernando Cháves

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Cháves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fernando Cháves, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Cháves Line = papers co-authored together Fernando Cháves links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006288
2 2011284
3 2003180
4 1998160
5 2009159
6 2017143
7 2007123
8 2009121
9 1996113
10 2000112
11 2011107
12 1986102
13 2018101
14 198199
15 201094
16 200992
17 199787
18 199587
19 199586
20 201983

About Fernando Cháves

Fernando Cháves is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Genetics and Molecular Medicine, having authored 180 papers that have together received 6.2k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (33 papers), Antimicrobial Resistance in Staphylococcus (31 papers), Antibiotic Resistance in Bacteria (30 papers), Bacterial Identification and Susceptibility Testing (26 papers), Bacterial biofilms and quorum sensing (18 papers), Infective Endocarditis Diagnosis and Management (17 papers), Rabies epidemiology and control (17 papers) and Tuberculosis Research and Epidemiology (16 papers). The work is most often cited by research in Virology (921 citations), Molecular Medicine (933 citations), Applied Microbiology and Biotechnology (197 citations), Infectious Diseases (1.7k citations) and Endocrinology (451 citations). Fernando Cháves has collaborated with scholars based in Spain, Costa Rica and United States. Frequent co-authors include José Marı́a Gutiérrez, Bruno Lomonte, Esther Viedma, Alexandra Rucavado, Joaquín R. Otero, María Ángeles Orellana, Francisca Sanz, Dongsheng Xu, Catarina Teixeira and Luis Cerdas. Their work appears in journals such as Toxicon, Journal of Clinical Microbiology, Clinical Microbiology and Infection, Antimicrobial Agents and Chemotherapy and Emerging infectious diseases.

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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