Manuel Guzmán-Blanco

24 papers receiving 1.1k citations

Peers

Manuel Guzmán-Blanco
Comparison fields: 5 of 62
  • Applied Microbiology and Biotechnology 192
  • Molecular Medicine 360
  • Infectious Diseases 604
  • Clinical Biochemistry 155
  • Endocrinology 81
Replace M.P. Molinari with:
M.P. Molinari Italy
Flávia Rossi Brazil
Vered Schechner Israel
Chris M. Pillar United States
Christopher Longshaw United Kingdom
Melanie Baxter Canada
Matthew G. Stilwell United States
Varsha Gupta India
Sofia Maraki Greece
Hadi Sedigh Ebrahim‐Saraie Iran
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Citations per year

Countries citing papers authored by Manuel Guzmán-Blanco

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Guzmán-Blanco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Guzmán-Blanco. 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 Manuel Guzmán-Blanco. The network helps show where Manuel Guzmán-Blanco may publish in the future.

Co-authors

The 25 scholars most cited alongside Manuel Guzmán-Blanco, 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 Manuel Guzmán-Blanco Line = papers co-authored together Manuel Guzmán-Blanco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013284
2 2013116
3 201098
4 201493
5 201671
6 200969
7 201463
8 200052
9 201445
10 201335
11 201434
12 201031
13 201929
14 201328
15 201328
16 201023
17 201321
18 201315
19 201315
20 201310

About Manuel Guzmán-Blanco

Manuel Guzmán-Blanco is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Surgery and Clinical Biochemistry, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Antibiotic Use and Resistance (3 papers), Medical research and treatments (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Neonatal and Maternal Infections (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (192 citations), Molecular Medicine (360 citations), Infectious Diseases (604 citations), Clinical Biochemistry (155 citations) and Endocrinology (81 citations). Manuel Guzmán-Blanco has collaborated with scholars based in Brazil, Ecuador and Chile. Frequent co-authors include Jeannete Zurita, Jaime Labarca, Carlos Seas, Mauro José Costa Salles, Iris Nora Tiraboschi, Jorge Alberto Cortés, Juan Echevarría, José Sifuentes‐Osornio, Arnaldo Lopes Colombo and Márcio Nucci. Their work appears in journals such as PLoS ONE, International Journal of Infectious Diseases, Open Forum Infectious Diseases, Infectious Disease Clinics of North America and Expert Review of Anti-infective Therapy.

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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