Núria Prim

50 papers receiving 819 citations

Peers

Núria Prim
Comparison fields: 5 of 96
  • Molecular Medicine 226
  • Applied Microbiology and Biotechnology 66
  • Endocrinology 48
  • Biotechnology 62
  • Infectious Diseases 105
Replace Alireza Salimi Chirani with:
Alireza Salimi Chirani Iran
Essam J. Alyamani Saudi Arabia
Alper Karagöz Türkiye
Aroonlug Lulitanond Thailand
Marija Tonkić Croatia
Nik Yusnoraini Yusof Malaysia
Audrey Feeney Ireland
Joana Sá‐Pessoa United Kingdom
I‐Wen Huang Taiwan
Ingegerd Gustafsson Sweden
Núria Prim relative to Alireza Salimi Chirani Iran Alireza Salimi Chirani's profile →
Citations per field
00.5×3.9×
Alireza Salimi Chirani · 1×
Citations per year

Countries citing papers authored by Núria Prim

Since Specialization
Citations

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

Fields of papers citing papers by Núria Prim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200372
2 199959
3 201751
4 201649
5 200046
6 202040
7 200336
8 202135
9 200933
10 200230
11 202228
12 201527
13 201924
14 201523
15 200622
16 201221
17 202119
18 202115
19 202314
20 202113

About Núria Prim

Núria Prim is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Pharmacology and Epidemiology, having authored 51 papers that have together received 836 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Enzyme Catalysis and Immobilization (7 papers), Antibiotic Use and Resistance (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Urinary Tract Infections Management (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Molecular Medicine (226 citations), Applied Microbiology and Biotechnology (66 citations), Endocrinology (48 citations), Biotechnology (62 citations) and Infectious Diseases (105 citations). Núria Prim has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include Pilar Dı́az, F. I. Javier Pastor, Alba Rivera, Juan Pablo Horcajada, Marta Sánchez de la Torre, Pere Coll, Luisa Sorlí, Beatriz Mirelis, Santiago Grau and M. Montero. Their work appears in journals such as Antibiotics, Microbiology Spectrum, Journal of Antimicrobial Chemotherapy, Biochimie and Journal of Medical Virology.

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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