M. Suárez

935 citations
21 papers · 778 · h-index 12

Impact in

    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods
    • Vibrio bacteria research studies

Papers in

M. Suárez

20 papers receiving 733 citations

Peers

M. Suárez
Comparison fields: 5 of 80
  • Biotechnology 372
  • Endocrinology 84
  • Food Science 270
  • Infectious Diseases 91
  • Virology 16
Replace Noriaki Katsui with:
Noriaki Katsui Japan
M. L. Gray United States
Karen A. Homer United Kingdom
Susanne Fister Austria
Caroline Redmond United Kingdom
Lucía Yim Uruguay
Stephen Hibbs United States
Catherine Leimkuhler Grimes United States
Maria Sílvia Viccari Gatti Brazil
Radovan Fišer Czechia
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Citations per field
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Noriaki Katsui · 1×
Citations per year

Countries citing papers authored by M. Suárez

Since Specialization
Citations

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

Fields of papers citing papers by M. Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997143
2 1996134
3 1997111
4 198496
5 200949
6 200336
7 200832
8 200031
9 200630
10
Molecular mechanisms of Salmonella invasion: the type III secretion system of the pathogenicity island 1.
199827
11 200919
12 200018
13 199711
14
[Foodborne Listeria monocytogenes: are all the isolates equally virulent?].
20079
15 19939
16 19878
17 20156
18 19964
19 19944
20 19871

About M. Suárez

M. Suárez is a scholar working on Biotechnology, Infectious Diseases, Food Science, Virology and Endocrinology, having authored 21 papers that have together received 778 indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (5 papers), Microbial Inactivation Methods (4 papers), HIV/AIDS Research and Interventions (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Amino Acid Enzymes and Metabolism (2 papers), HIV Research and Treatment (2 papers), Enzyme Structure and Function (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Biotechnology (372 citations), Endocrinology (84 citations), Food Science (270 citations), Infectious Diseases (91 citations) and Virology (16 citations). M. Suárez has collaborated with scholars based in Spain, United States and France. Frequent co-authors include M T Ripio, Gustavo Domínguez‐Bernal, J A Vázquez-Boland, Manuel Lara Garrido, Klaus Brehm, Patrick Berche, José A. Vázquez‐Boland, Shelagh M. Ferguson-Miller, Luís de la Fuente and Debra A. Thompson. Their work appears in journals such as Journal of Bacteriology, Archives of Biochemistry and Biophysics, Research in Microbiology, International Journal of Medical Microbiology and Neurology.

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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