Mónica Suárez

4.8k citations
22 papers · 824 · h-index 14

Impact in

Papers in

Mónica Suárez

22 papers receiving 802 citations

Peers

Mónica Suárez
Comparison fields: 5 of 109
  • Biotechnology 261
  • Molecular Medicine 143
  • Endocrinology 82
  • Applied Microbiology and Biotechnology 25
  • Food Science 219
Replace Brian P. Johnson with:
Brian P. Johnson United States
Gosia K. Kozak Canada
Amy Krueger United States
Teresa Quinn Ireland
Paul Brown Jamaica
Atieh Darbandi Iran
Sara B. Hernández Spain
Raquel Regina Bonelli Brazil
Jutta Wagner Germany
Shuhei Fujimoto Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mónica Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001192
2 2018131
3 2001111
4 199965
5 199747
6 201046
7 201343
8 201633
9 200726
10 201724
11 201722
12 201821
13 201318
14 201317
15 20139
16 19955
17 20095
18 20084
19 20152
20 20161

About Mónica Suárez

Mónica Suárez is a scholar working on Infectious Diseases, Molecular Biology, Molecular Medicine, Food Science and Pharmacology, having authored 22 papers that have together received 824 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Enzyme Structure and Function (2 papers), Listeria monocytogenes in Food Safety (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Biotechnology (261 citations), Molecular Medicine (143 citations), Endocrinology (82 citations), Applied Microbiology and Biotechnology (25 citations) and Food Science (219 citations). Mónica Suárez has collaborated with scholars based in Spain, Lebanon and Vietnam. Frequent co-authors include Bruno González‐Zorn, Isabel Chico‐Calero, Yolanda Vega, Jörg Slaghuis, Mariela Scortti, José A. Vázquez‐Boland, Werner Goebel, Elias Dahdouh, Ziad Daoud and Marga Martı́n. Their work appears in journals such as Archives of Microbiology, Frontiers in Cellular and Infection Microbiology, Revista de Psiquiatría y Salud Mental, Archives of Virology and Cellular Microbiology.

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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