Marı́a de Oña

1.2k citations
49 papers · 499 indexed · h-index 13
Topics
Cytomegalovirus and herpesvirus research (17 papers)Herpesvirus Infections and Treatments (9 papers)Respiratory viral infections research (7 papers)
Partner nations
SpainItalyUnited States

In The Last Decade

Marı́a de Oña

48 papers receiving 483 citations

Peers

Marı́a de Oña
Comparison fields: 5 of 78
  • Epidemiology 305
  • Infectious Diseases 185
  • Oncology 75
  • Surgery 71
  • Cardiology and Cardiovascular Medicine 51
Replace Cornelia Henke‐Gendo with:
Cornelia Henke‐Gendo Germany
Benita Zweygberg Wirgart Sweden
R. Colimon France
H. W. Doerr Germany
Maria Torsellini Italy
Kapil Saharia United States
Kurt Beuselinck Belgium
Britt Åkerlind Sweden
Franziska Suter‐Riniker Switzerland
Berthe‐Marie Imbert‐Marcille France
Marı́a de Oña relative to Cornelia Henke‐Gendo Germany Cornelia Henke‐Gendo's profile →
Citations per field
00.5×1.5×
Cornelia Henke‐Gendo · 1×
Citations per year

Countries citing papers authored by Marı́a de Oña

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a de Oña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a de Oña. 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 Marı́a de Oña. The network helps show where Marı́a de Oña may publish in the future.

Co-authorship network of co-authors of Marı́a de Oña

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a de Oña. A scholar is included among the top collaborators of Marı́a de Oña 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 Marı́a de Oña. Marı́a de Oña 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 6
2 19
3 11
4 26
5 5
6 4
7 9
8
Infección por parvovirus B19 en trasplante renal: diagnóstico por detección del genoma viral en sangre periférica
2
9 9
10 25
11 19
12 4
13 21
14 1
15 15
16 10
17 0
18 15
19 8
20 5

About Marı́a de Oña

Marı́a de Oña is a scholar working on Transplantation, Epidemiology and Infectious Diseases, having authored 49 papers that have together received 499 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (17 papers), Herpesvirus Infections and Treatments (9 papers) and Respiratory viral infections research (7 papers). The work is most often cited by research in Infectious Diseases (185 citations), Epidemiology (305 citations) and Transplantation (16 citations). Marı́a de Oña has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Santiago Melón, José Antonio Boga, Marta Elena Álvarez‐Argüelles, E. Gómez, Inés Nicieza, Mercedes Villar-Navarro, Isabel de Diego, Francisco Parra, J. Álvarez-Grande and Julián Rodrı́guez. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Nephrology Dialysis Transplantation.

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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