José Leiva

60 papers receiving 1.8k citations

Peers

José Leiva
Comparison fields: 5 of 145
  • Microbiology 256
  • Endocrinology 197
  • Molecular Medicine 176
  • Periodontics 123
  • Clinical Biochemistry 183
Replace Rama Chaudhry with:
Rama Chaudhry India
Katrin Mende United States
Graziella Orefici Italy
Miriam L. Beckius United States
Bo Drasar United Kingdom
John P. Hays Netherlands
Erkki Eerola Finland
Fadi Bittar France
Andreas E. Zautner Germany
Alison Laufer Halpin United States
José Leiva relative to Rama Chaudhry India Rama Chaudhry's profile →
Citations per field
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Citations per year

Countries citing papers authored by José Leiva

Since Specialization
Citations

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

Fields of papers citing papers by José Leiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001490
2 1999195
3 1998159
4 200293
5 201260
6 200160
7 201457
8 200755
9 199853
10 199653
11 200550
12 201047
13 201244
14 200837
15 200833
16 201231
17 200928
18 202023
19 199021
20 201517

About José Leiva

José Leiva is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (9 papers), Streptococcal Infections and Treatments (6 papers), Bacterial biofilms and quorum sensing (6 papers), Central Venous Catheters and Hemodialysis (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antimicrobial Peptides and Activities (5 papers) and Brucella: diagnosis, epidemiology, treatment (5 papers). The work is most often cited by research in Microbiology (256 citations), Endocrinology (197 citations), Molecular Medicine (176 citations), Periodontics (123 citations) and Clinical Biochemistry (183 citations). José Leiva has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Marta Lamata, Beatriz Amorena, Íñigo Lasa, José R. Penadés, Marta Monzón, Marı́a Jesús Arrizubieta, Cristina Solano, Carme Cucarella, Alejandro Toledo‐Arana and Jaione Valle. Their work appears in journals such as Antibiotics, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease, International Journal of Antimicrobial Agents and Medicine - Programa de Formación Médica Continuada Acreditado.

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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