Paula Espinal
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
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- Antibiotic Resistance in Bacteria 29
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- Vibrio bacteria research studies 7
- Enterobacteriaceae and Cronobacter Research 6
- Escherichia coli research studies 5
- Co-authors
- Jordi Vilà (23 shared papers)Ignasi Roca (9 shared papers)Sara Martí (8 shared papers)Xavier Vila‐Farrés (3 shared papers)Lenie Dijkshoorn (2 shared papers)Ferrán Navarro (8 shared papers)Harald Seifert (1 shared paper)Isidre Gibert (1 shared paper)
In The Last Decade
Paula Espinal
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Molecular Medicine 1.2k
- Endocrinology 595
- Applied Microbiology and Biotechnology 71
- Clinical Biochemistry 133
- Pollution 189
Countries citing papers authored by Paula Espinal
This map shows the geographic impact of Paula Espinal'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 Paula Espinal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula Espinal more than expected).
Fields of papers citing papers by Paula Espinal
This network shows the impact of papers produced by Paula Espinal. 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 Paula Espinal. The network helps show where Paula Espinal may publish in the future.
Co-authors
The 25 scholars most cited alongside Paula Espinal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 305 | |
| 2 | 2011 | 256 | |
| 3 | 2009 | 100 | |
| 4 | 2011 | 96 | |
| 5 | 2011 | 71 | |
| 6 | 2012 | 64 | |
| 7 | 2008 | 58 | |
| 8 | 2011 | 58 | |
| 9 | 2013 | 47 | |
| 10 | 2017 | 45 | |
| 11 | 2011 | 45 | |
| 12 | 2018 | 40 | |
| 13 | 2013 | 39 | |
| 14 | 2013 | 34 | |
| 15 | 2020 | 32 | |
| 16 | 2012 | 30 | |
| 17 | 2018 | 30 | |
| 18 | 2021 | 26 | |
| 19 | 2015 | 26 | |
| 20 | 2008 | 26 |
About Paula Espinal
Paula Espinal is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Epidemiology and Clinical Biochemistry, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Vibrio bacteria research studies (7 papers), Bacterial biofilms and quorum sensing (6 papers), Enterobacteriaceae and Cronobacter Research (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Escherichia coli research studies (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (5 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Endocrinology (595 citations), Applied Microbiology and Biotechnology (71 citations), Clinical Biochemistry (133 citations) and Pollution (189 citations). Paula Espinal has collaborated with scholars based in Spain, Colombia and France. Frequent co-authors include Jordi Vilà, Ignasi Roca, Sara Martí, Xavier Vila‐Farrés, Lenie Dijkshoorn, Ferrán Navarro, Harald Seifert, Isidre Gibert, Elisenda Miró and P. Martı́nez. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Microbial Drug Resistance, International Journal of Antimicrobial Agents, Journal of Antimicrobial Chemotherapy and Diagnostic Microbiology and Infectious Disease.
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.