Isabel Mur

2.0k citations
13 papers · 244 · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Antimicrobial Resistance in Staphylococcus
    • HIV-related health complications and treatments

Papers in

    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 2
    • Orthopedic Infections and Treatments 2
    • Surgical site infection prevention 1

Isabel Mur

13 papers receiving 241 citations

Peers

Isabel Mur
Comparison fields: 5 of 70
  • Infectious Diseases 111
  • Emergency Medicine 31
  • Neurology 38
  • Virology 12
  • Modeling and Simulation 5
Replace Anela Kellogg with:
Anela Kellogg United States
Himanshu Dandu India
Rosaria Viglietti Italy
Nils Postel Germany
Carmen Busca Spain
Alessandra Cascavilla Italy
Carlos Dueñas Spain
Ginés Sánchez Nievas Spain
Maurizio D’Abbraccio Italy
David Fistera Germany
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Citations per field
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Citations per year

Countries citing papers authored by Isabel Mur

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Mur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2020109
2 202229
3 202126
4 202015
5 202015
6 202014
7 20209
8 20219
9 20227
10 20226
11 20202
12 20252
13 20221

About Isabel Mur

Isabel Mur is a scholar working on Infectious Diseases, Surgery, Endocrinology, Diabetes and Metabolism, Emergency Medicine and Molecular Biology, having authored 13 papers that have together received 244 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), HIV-related health complications and treatments (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Orthopedic Infections and Treatments (2 papers), Surgical site infection prevention (1 paper), Wound Healing and Treatments (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Infectious Diseases (111 citations), Emergency Medicine (31 citations), Neurology (38 citations), Virology (12 citations) and Modeling and Simulation (5 citations). Isabel Mur has collaborated with scholars based in Spain and Australia. Frequent co-authors include Peré Domingo, Natividad Benito, Hèctor Corominas, Virginia Pomar, Jordi Casademont, I. Castellví, María del Mar Gutiérrez, María Gracia Mateo, Ferrán Navarro and Alba Rivera. Their work appears in journals such as Antibiotics, Expert Opinion on Pharmacotherapy, Life Sciences, Diabetes Research and Clinical Practice 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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