Paula Espinal

46 papers receiving 1.6k citations

Peers

Paula Espinal
Comparison fields: 5 of 95
  • Molecular Medicine 1.2k
  • Endocrinology 653
  • Applied Microbiology and Biotechnology 98
  • Clinical Biochemistry 149
  • Pollution 213
Replace Zhihui Zhou with:
Zhihui Zhou China
Frank Hansen Denmark
Basil Britto Xavier Belgium
Lingbin Shu China
Qinglan Guo China
Hedi Mammeri France
Mikhail V. Edelstein Russia
Ignasi Roca Spain
Michael Hornsey United Kingdom
Jesús Silva-Sánchez Mexico
Paula Espinal relative to Zhihui Zhou China Zhihui Zhou's profile →
Citations per field
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Zhihui Zhou · 1×
Citations per year

Countries citing papers authored by Paula Espinal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paula Espinal Line = papers co-authored together Paula Espinal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012297
2 2011245
3 200993
4 201186
5 201169
6 200857
7 201155
8 201253
9 201344
10 201743
11 201143
12 201837
13 201336
14 201333
15 202031
16 201230
17 201827
18 200826
19 201525
20 202124

About Paula Espinal

Paula Espinal is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Clinical Biochemistry and Infectious Diseases, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (31 papers), Bacterial biofilms and quorum sensing (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Vibrio bacteria research studies (8 papers), Enterobacteriaceae and Cronobacter Research (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Antibiotics Pharmacokinetics and Efficacy (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 (653 citations), Applied Microbiology and Biotechnology (98 citations), Clinical Biochemistry (149 citations) and Pollution (213 citations). Paula Espinal has collaborated with scholars based in Spain, Colombia and Mexico. 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 Clinical Microbiology and Infection.

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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