Núria Borrell

41 papers receiving 2.1k citations

Peers

Núria Borrell
Comparison fields: 5 of 103
  • Molecular Medicine 616
  • Endocrinology 320
  • Infectious Diseases 538
  • Applied Microbiology and Biotechnology 52
  • Microbiology 163
Replace G. Młynarczyk with:
G. Młynarczyk Poland
Valerie Waters Canada
Monica Monaco Italy
Jorgelina Smayevsky Argentina
Ingrid Wybo Belgium
T L Stull United States
Frida Stock United States
N. Brahimi France
Axel Hamprecht Germany
Zoi Dorothea Pana Greece
Núria Borrell relative to G. Młynarczyk Poland G. Młynarczyk's profile →
Citations per field
00.5×3.2×
G. Młynarczyk · 1×
Citations per year

Countries citing papers authored by Núria Borrell

Since Specialization
Citations

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

Fields of papers citing papers by Núria Borrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002244
2 2009199
3 1997161
4 2012135
5 2012131
6 2006124
7 2009107
8 1999104
9 200772
10 199871
11 200667
12 199864
13 201162
14 200858
15 200453
16 201152
17 199147
18 200846
19 199246
20 201145

About Núria Borrell

Núria Borrell is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Molecular Biology and Pharmacology, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Cystic Fibrosis Research Advances (5 papers), Bacterial biofilms and quorum sensing (5 papers), Pneumonia and Respiratory Infections (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Antifungal resistance and susceptibility (3 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Molecular Medicine (616 citations), Endocrinology (320 citations), Infectious Diseases (538 citations), Applied Microbiology and Biotechnology (52 citations) and Microbiology (163 citations). Núria Borrell has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Antonio Oliver, María José Figueras, Sebastián Albertí, Cristina Gómez, María D. Macià, Guadalupe Cortés, Jaume Sauleda, Antonio Martı́nez-Murcia, Silvia G. Acinas and José Luis Pérez. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases and Infection and Immunity.

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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