Aina Gomila‐Grange

15 papers receiving 205 citations

Peers

Aina Gomila‐Grange
Comparison fields: 5 of 52
  • Molecular Medicine 42
  • Applied Microbiology and Biotechnology 16
  • Endocrinology 21
  • Clinical Biochemistry 22
  • Epidemiology 103
Replace José Miguel Nogueira with:
José Miguel Nogueira Spain
Aikaterini Gkoufa Greece
Cordula Lebert Germany
Hugo Guillermo Ternavasio‐de la Vega Spain
Tanya Babich Israel
Carmina Martí Spain
Caroline Rolfes Germany
Annabelle Pourbaix France
Julia Origüen Spain
Elias Saad Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Aina Gomila‐Grange

Since Specialization
Citations

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

Fields of papers citing papers by Aina Gomila‐Grange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aina Gomila‐Grange. 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 Aina Gomila‐Grange. The network helps show where Aina Gomila‐Grange may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201847
2 201741
3 201936
4 201917
5 201715
6 201513
7 202311
8 20236
9 20216
10 20206
11 20205
12
Risk factors and prognosis of complicated urinary tract infections caused by Pseudomonas aeruginosa in hospitalized patients: a retrospective multicenter cohort study
20182
13 20242
14 20242
15 20201
16 20250
17 20250

About Aina Gomila‐Grange

Aina Gomila‐Grange is a scholar working on Surgery, Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 17 papers that have together received 210 indexed citations. Recurring topics across this work include Surgical site infection prevention (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Urinary Tract Infections Management (4 papers), Antibiotic Resistance in Bacteria (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (42 citations), Applied Microbiology and Biotechnology (16 citations), Endocrinology (21 citations), Clinical Biochemistry (22 citations) and Epidemiology (103 citations). Aina Gomila‐Grange has collaborated with scholars based in Spain, Netherlands and United Kingdom. Frequent co-authors include Miquel Pujol, Jordi Carratalà, Evelyn Shaw, Noa Eliakim‐Raz, Cuong Vuong, Leonard Leibovici, Sally Grier, Irith Wiegand, Christiane Vank and Alasdair MacGowan. Their work appears in journals such as Antimicrobial Resistance and Infection Control, Journal of Infection, Travel Medicine and Infectious Disease, International Journal of Surgery and Infection Control and Hospital Epidemiology.

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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