J. Prieto

76 papers receiving 1.0k citations

Peers

J. Prieto
Comparison fields: 5 of 87
  • Molecular Medicine 238
  • Applied Microbiology and Biotechnology 69
  • Pharmacology 337
  • Infectious Diseases 291
  • Clinical Biochemistry 104
Replace Laurent Massias with:
Laurent Massias France
Maria Teresa Mascellino Italy
T.G. Winstanley United Kingdom
Kyoichi Totsuka Japan
Helen T. Fernandez United States
Halis Akalın Türkiye
K. Dornbusch Sweden
Céline Vidaillac United States
Kim Credito United States
Rupali Jain United States
J. Prieto relative to Laurent Massias France Laurent Massias's profile →
Citations per field
00.5×1.5×
Laurent Massias · 1×
Citations per year

Countries citing papers authored by J. Prieto

Since Specialization
Citations

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

Fields of papers citing papers by J. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 200559
3 201555
4 200541
5 200538
6 202137
7 200737
8 200134
9 201334
10 199430
11 200728
12 200826
13 198723
14 200422
15 200221
16 201019
17 200218
18 199517
19 200616
20 199716

About J. Prieto

J. Prieto is a scholar working on Epidemiology, Pharmacology, Infectious Diseases, Molecular Medicine and Molecular Biology, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (29 papers), Pneumonia and Respiratory Infections (22 papers), Antibiotic Resistance in Bacteria (18 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antifungal resistance and susceptibility (9 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (4 papers) and Antibiotic Use and Resistance (4 papers). The work is most often cited by research in Molecular Medicine (238 citations), Applied Microbiology and Biotechnology (69 citations), Pharmacology (337 citations), Infectious Diseases (291 citations) and Clinical Biochemistry (104 citations). J. Prieto has collaborated with scholars based in Spain, United States and India. Frequent co-authors include María-José Giménez, Luís Alou, Lorenzo Aguilar, Fabio Cafini, David Sevillano, José Barberán, Natalia González, L. Aguilar, David Martı́nez and B. Sánchez. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy, Chemotherapy and European Journal of Clinical Microbiology & 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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