Beatriz Quiñones

58 papers receiving 1.9k citations

Peers

Beatriz Quiñones
Comparison fields: 5 of 115
  • Endocrinology 591
  • Infectious Diseases 557
  • Food Science 518
  • Molecular Medicine 118
  • Biotechnology 175
Replace Aitor Rementerı́a with:
Aitor Rementerı́a Spain
Melody N. Neely United States
Ján Kormanec Slovakia
Scott D. Mills United States
Rebecca L. Lindsey United States
Marie‐Pierre Castanié‐Cornet France
Jörg Linde Germany
Alejandro De Las Peñas Mexico
Guoqiang Zhu China
Craig D. Ellermeier United States
Beatriz Quiñones relative to Aitor Rementerı́a Spain Aitor Rementerı́a's profile →
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Citations per year

Countries citing papers authored by Beatriz Quiñones

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Quiñones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005234
2 2003164
3 2004107
4 2013107
5 2006101
6 200171
7 199866
8 201666
9 200162
10 200959
11 199952
12 201249
13 201748
14 200746
15 201443
16 200840
17 201338
18 200736
19 201236
20 201136

About Beatriz Quiñones

Beatriz Quiñones is a scholar working on Infectious Diseases, Endocrinology, Food Science, Ecology and Biotechnology, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (30 papers), Escherichia coli research studies (28 papers), Salmonella and Campylobacter epidemiology (18 papers), Bacteriophages and microbial interactions (12 papers), Transgenic Plants and Applications (6 papers), Antibiotic Resistance in Bacteria (6 papers), Plant-Microbe Interactions and Immunity (5 papers) and Listeria monocytogenes in Food Safety (5 papers). The work is most often cited by research in Endocrinology (591 citations), Infectious Diseases (557 citations), Food Science (518 citations), Molecular Medicine (118 citations) and Biotechnology (175 citations). Beatriz Quiñones has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Steven E. Lindow, Robert E. Mandrell, Glenn F. J. Dulla, William G. Miller, Craig T. Parker, Michelle Swimley, Maria T. Brandl, Michael B. Cooley, Ken Teter and Noriko Kudo. Their work appears in journals such as Applied and Environmental Microbiology, PLoS ONE, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology and Scientific Reports.

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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