Eva Gato

25 papers receiving 516 citations

Peers

Eva Gato
Comparison fields: 5 of 54
  • Molecular Medicine 427
  • Applied Microbiology and Biotechnology 74
  • Endocrinology 159
  • Clinical Biochemistry 48
  • Pharmacology 106
Replace Lavinia Nery Villa Stangler Arend with:
Lavinia Nery Villa Stangler Arend Brazil
Fernando Reyna-Flores Mexico
Soichiro Kimura Japan
Mingxiang Zou China
Estelle Marcon France
Saranya Vijayakumar India
Hossein Fazeli Iran
Marsileni Pelisson Brazil
Michalis Polemis Greece
Catherine Llanes France
Eva Gato relative to Lavinia Nery Villa Stangler Arend Brazil Lavinia Nery Villa Stangler Arend's profile →
Citations per field
00.5×1.7×
Lavinia Nery Villa Stangler Arend · 1×
Citations per year

Countries citing papers authored by Eva Gato

Since Specialization
Citations

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

Fields of papers citing papers by Eva Gato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013153
2 201981
3 201446
4 201628
5 201727
6 202023
7 201222
8 202317
9 202017
10 202115
11 202312
12 202110
13
Acinetobacter baumannii en pacientes críticos: epidemiología molecular, características clínicas y predictores de mortalidad
20169
14 20209
15 20218
16 20228
17 20216
18 20245
19 20245
20 20165

About Eva Gato

Eva Gato is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Pharmacology and Ecology, having authored 25 papers that have together received 519 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacteriophages and microbial interactions (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Escherichia coli research studies (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Vibrio bacteria research studies (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Medicine (427 citations), Applied Microbiology and Biotechnology (74 citations), Endocrinology (159 citations), Clinical Biochemistry (48 citations) and Pharmacology (106 citations). Eva Gato has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Germán Bou, Álvaro Pascual, José Miguel Cisneros, María Tomás, Luis Martínez‐Martínez, Jesús Rodríguez‐Baño, Jordi Vilà, Astrid Pérez, María López and F. Fernández-Cuenca. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, International Journal of Molecular Sciences, Frontiers in Microbiology and Medicine.

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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