José Leiva

55 papers receiving 1.7k citations

Peers

José Leiva
Comparison fields: 5 of 136
  • Microbiology 270
  • Endocrinology 213
  • Molecular Medicine 189
  • Periodontics 154
  • Clinical Biochemistry 222
Replace Rama Chaudhry with:
Rama Chaudhry India
Bo Drasar United Kingdom
Graziella Orefici Italy
Miriam L. Beckius United States
John P. Hays Netherlands
Katrin Mende United States
Erkki Eerola Finland
Fadi Bittar France
Marianne Abele‐Horn Germany
Sanjay K. Shukla United States
José Leiva relative to Rama Chaudhry India Rama Chaudhry's profile →
Citations per field
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Rama Chaudhry · 1×
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-authorship network

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
#Work
1 20222
2 20224
3 20214
4 202015
5 201911
6
Bacilos gramnegativos de crecimiento lento: grupo HACEK, Capnocytophaga y Pasteurella
20171
7 20179
8 201517
9 20146
10 201242
11 201230
12 20085
13 200837
14 200550
15 200293
16 200160
17 1999195
18 19987
19 199853
20 199021

About José Leiva

José Leiva is a scholar working on Microbiology, Applied Microbiology and Biotechnology, Chemical Health and Safety, Microbiology and Emergency Medical Services, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (10 papers), Central Venous Catheters and Hemodialysis (7 papers), Streptococcal Infections and Treatments (6 papers), Bacterial biofilms and quorum sensing (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Brucella: diagnosis, epidemiology, treatment (5 papers). The work is most often cited by research in Microbiology (270 citations), Endocrinology (213 citations), Molecular Medicine (189 citations), Periodontics (154 citations) and Clinical Biochemistry (222 citations). José Leiva has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Marta Lamata, Beatriz Amorena, José R. Penadés, Íñigo Lasa, Marta Monzón, Alejandro Toledo‐Arana, Jaione Valle, Marı́a Jesús Arrizubieta, Carme Cucarella and Cristina Solano. Their work appears in journals such as Antibiotics, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, 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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