Ana Dacosta-Urbieta

765 citations
10 papers · 253 indexed · 1 hit paper · h-index 7
Topics
Respiratory viral infections research (3 papers)Viral gastroenteritis research and epidemiology (2 papers)Neuroinflammation and Neurodegeneration Mechanisms (2 papers)

In The Last Decade

Ana Dacosta-Urbieta

8 papers receiving 249 citations

Hit Papers

The burden of respiratory syncytial virus in healthy term...20222026202320242022255075100

Peers

Ana Dacosta-Urbieta
Comparison fields: 5 of 53
  • Epidemiology 144
  • Infectious Diseases 97
  • Pulmonary and Respiratory Medicine 86
  • Surgery 30
  • Neurology 25
Replace Miaotian Cai with:
Miaotian Cai China
Edoardo Simonetta Italy
Paul Wellman United Kingdom
Manish Joshi United States
Ido Somekh Israel
Alessia Rocchi Italy
Rana Hamdy Egypt
Rosemary Byanyima Uganda
Reade A. Quinton United States
V. Matt Laurich United States
Ana Dacosta-Urbieta relative to Miaotian Cai China Miaotian Cai's profile →
Citations per field
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Miaotian Cai · 1×
Citations per year

Countries citing papers authored by Ana Dacosta-Urbieta

Since Specialization
Citations

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

Fields of papers citing papers by Ana Dacosta-Urbieta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Dacosta-Urbieta. 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 Ana Dacosta-Urbieta. The network helps show where Ana Dacosta-Urbieta may publish in the future.

Co-authorship network of co-authors of Ana Dacosta-Urbieta

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Dacosta-Urbieta. A scholar is included among the top collaborators of Ana Dacosta-Urbieta 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 Ana Dacosta-Urbieta. Ana Dacosta-Urbieta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 0
3 29
4 2
5 6
6
The burden of respiratory syncytial virus in healthy term-born infants in Europe: a prospective birth cohort studybreakdown →
115
7 11
8 14
9 59
10 17

About Ana Dacosta-Urbieta

Ana Dacosta-Urbieta is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Neurology, having authored 10 papers that have together received 253 indexed citations. Recurring topics across this work include Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (97 citations), Epidemiology (144 citations) and Radiological and Ultrasound Technology (14 citations). Ana Dacosta-Urbieta has collaborated with scholars based in Spain, Finland and United Kingdom. Frequent co-authors include Federico Martinón‐Torres, Irene Rivero‐Calle, José Gómez Rial, Antonio Salas, J. Rodríguez, Nuria Rodríguez‐Núñez, Carmen Rodríguez‐Tenreiro, Miriam Cebey‐López, María José Currás-Tuala and Alberto Gómez‐Carballa. Their work appears in journals such as Scientific Reports, Frontiers in Immunology and Vaccine.

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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