Xavier Nuvials

1.5k citations
39 papers · 811 · h-index 13

Impact in

Papers in

Xavier Nuvials

36 papers receiving 790 citations

Peers

Xavier Nuvials
Comparison fields: 5 of 104
  • Transplantation 126
  • Critical Care and Intensive Care Medicine 105
  • Applied Microbiology and Biotechnology 39
  • Molecular Medicine 89
  • Epidemiology 163
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Markus Mieth Germany
W.-J. Ko Taiwan
Tae W. Chong United States
María José Ramos Spain
Feng‐Rong Chuang Taiwan
Brad Moriyama United States
Pilar Luqué Spain
Franco Ruberto Italy
Chih-Hsiung Lee Taiwan
V. Giannelli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Xavier Nuvials

Since Specialization
Citations

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

Fields of papers citing papers by Xavier Nuvials

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2011119
3 201393
4 201978
5 199576
6 201844
7 201936
8 202228
9 201028
10 202224
11 201816
12 201414
13 201513
14 201810
15 20189
16 20217
17 20206
18 20216
19 20236
20 20236

About Xavier Nuvials

Xavier Nuvials is a scholar working on Epidemiology, Infectious Diseases, Critical Care and Intensive Care Medicine, Molecular Medicine and Surgery, having authored 39 papers that have together received 811 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Antibiotic Resistance in Bacteria (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Nosocomial Infections in ICU (4 papers), Liver Disease and Transplantation (4 papers), COVID-19 Clinical Research Studies (4 papers), Urinary Tract Infections Management (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Transplantation (126 citations), Critical Care and Intensive Care Medicine (105 citations), Applied Microbiology and Biotechnology (39 citations), Molecular Medicine (89 citations) and Epidemiology (163 citations). Xavier Nuvials has collaborated with scholars based in Spain, Colombia and United Kingdom. Frequent co-authors include Juan V. Llau, César Aldecoa, Antonio Artigas, Ibai Los‐Arcos, Joan Gavaldà, Jordi Rello, Ingrid Arévalo-Rodríguez, Nadia Montero‐Oleas, Daniel Molano-Franco and Javier Zamora. Their work appears in journals such as Infection, Perfusion, Intensive Care Medicine Experimental, Journal of Hospital Infection and Cochrane Database of Systematic Reviews.

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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