Lucía Muñoz-Narbona

3.0k citations
35 papers · 489 indexed · h-index 11

Lucía Muñoz-Narbona

28 papers receiving 475 citations

Peers

Lucía Muñoz-Narbona
Comparison fields: 5 of 65
  • Oncology 153
  • Epidemiology 144
  • Surgery 83
  • Electrical and Electronic Engineering 69
  • Plant Science 61
Replace Gregg D. Kortz with:
Gregg D. Kortz United States
Inga Sinicina Germany
Filip De Ridder Belgium
İrfan Kaygusuz Türkiye
Jagdeep S. Thakur India
Jasmina Boban Serbia
Zaiga Nora-Krūkle Latvia
J. McConville United Kingdom
Jennifer A. McCombe Canada
Mark Ellul United Kingdom
Lucía Muñoz-Narbona relative to Gregg D. Kortz United States Gregg D. Kortz's profile →
Citations per field
00.5×20×40×61×
Gregg D. Kortz · 1×
Citations per year

Countries citing papers authored by Lucía Muñoz-Narbona

Since Specialization
Citations

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

Fields of papers citing papers by Lucía Muñoz-Narbona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucía Muñoz-Narbona. 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 Lucía Muñoz-Narbona. The network helps show where Lucía Muñoz-Narbona may publish in the future.

Co-authorship network of co-authors of Lucía Muñoz-Narbona

This figure shows the co-authorship network connecting the top 25 collaborators of Lucía Muñoz-Narbona. A scholar is included among the top collaborators of Lucía Muñoz-Narbona based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lucía Muñoz-Narbona. Lucía Muñoz-Narbona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 15
5 10
6 4
7 6
8 6
9 1
10 30
11 14
12
Síndrome de Laugier-Hunziker
2
13 3
14 34
15 36
16
Miasis foruncular importada por dermatobia hominis
0
17 50
18 87
19 2
20 86

About Lucía Muñoz-Narbona

Lucía Muñoz-Narbona is a scholar working on Anesthesiology and Pain Medicine, Rehabilitation and Pathology and Forensic Medicine, having authored 35 papers that have together received 489 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Pain Management and Opioid Use (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Virology (35 citations), Rehabilitation (44 citations) and Oncology (153 citations). Lucía Muñoz-Narbona has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Darı́o Garcı́a de Viedma, Juan Berenguer, Pilar Miralles, Belén Padilla, Jaime Cosín, Emilio Bouza, Santiago Moreno, César R. Lacruz, Carlos Benito and Juan Carlos López. Their work appears in journals such as Clinical Infectious Diseases, International Journal of Environmental Research and Public Health and American Journal of Roentgenology.

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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