Esperanza Garay

1.5k total citations
35 papers, 1.3k citations indexed

About

Esperanza Garay is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Esperanza Garay has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Ecology. Recurrent topics in Esperanza Garay's work include Aquaculture disease management and microbiota (16 papers), Genomics and Phylogenetic Studies (15 papers) and Microbial Community Ecology and Physiology (13 papers). Esperanza Garay is often cited by papers focused on Aquaculture disease management and microbiota (16 papers), Genomics and Phylogenetic Studies (15 papers) and Microbial Community Ecology and Physiology (13 papers). Esperanza Garay collaborates with scholars based in Spain, Belgium and Italy. Esperanza Garay's co-authors include María J. Pujalte, M. Carmen Macián, David R. Arahal, Javier Pascual, Carmen Amaro, Rosa Aznar, Elena G. Biosca, Consuelo Esteve, Teresa Lucena and Manuel Mata and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical Pharmacology and Aquaculture.

In The Last Decade

Esperanza Garay

34 papers receiving 1.2k citations

Peers

Esperanza Garay
Comparison fields: 5 of 89
  • Molecular Biology 691
  • Immunology 516
  • Ecology 462
  • Endocrinology 446
  • Global and Planetary Change 118
Replace M. T. MacDonell with:
M. T. MacDonell United States
Sayaka Mino Japan
Jette Melchiorsen Denmark
Reiji Tanaka Japan
Natrah Fatin Mohd Ikhsan Malaysia
José Pintado Spain
Tsuneo Shiba Japan
Eduardo Martínez‐Manzanares Spain
Luisa Villamil Colombia
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M. T. MacDonell United States View profile →
Citations per field, relative to Esperanza Garay
Esperanza Garay · 1×
Citations per year, relative to Esperanza Garay
Esperanza Garay · 1×

Countries citing papers authored by Esperanza Garay

Since Specialization
Citations

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

Fields of papers citing papers by Esperanza Garay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esperanza Garay

This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Garay. A scholar is included among the top collaborators of Esperanza Garay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esperanza Garay. Esperanza Garay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 14
3 27
4 16
5 188
6 31
7 28
8 60
9 11
10
Aerobic and facultative anaerobic heterotrophic bacteria associated to Mediterranean oysters and seawater.
112
11 14
12 41
13 31
14 65
15 34
16 55
17 15
18 38
19 25
20
R-Plasmid Transfer inSalmonella spp.Isolated fromWastewater andSewage-Contaminated Surface Waters
1

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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