Marı́a de Oña
- Infectious Diseases top 10%
- Parvovirus B19 Infection Studies 6
- Viral gastroenteritis research and epidemiology 5
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research 17
- Herpesvirus Infections and Treatments 9
- Respiratory viral infections research 7
- Hepatitis B Virus Studies 5
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- Polyomavirus and related diseases 6
- Viral-associated cancers and disorders 5
- Co-authors
- Santiago MelónJosé Antonio BogaMarta Elena Álvarez‐ArgüellesE. GómezInés NiciezaMercedes Villar-NavarroIsabel de DiegoFrancisco Parra
- Journals
- PLoS ONE (3 papers)Journal of Clinical Microbiology (5 papers)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Marı́a de Oña
48 papers receiving 483 citations
Peers
Comparison fields: 5 of 78
- Infectious Diseases 185
- Epidemiology 305
- Transplantation 16
- Hepatology 44
- Virology 24
Countries citing papers authored by Marı́a de Oña
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
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
The 25 scholars most cited alongside Marı́a de Oña, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 6 | |
| 2 | 2019 | 19 | |
| 3 | 2017 | 11 | |
| 4 | 2014 | 26 | |
| 5 | 2013 | 5 | |
| 6 | 2012 | 4 | |
| 7 | 2010 | 9 | |
| 8 | Infección por parvovirus B19 en trasplante renal: diagnóstico por detección del genoma viral en sangre periférica | 2005 | 2 |
| 9 | 2005 | 9 | |
| 10 | 2005 | 25 | |
| 11 | 2005 | 19 | |
| 12 | 2004 | 4 | |
| 13 | 2003 | 21 | |
| 14 | 2002 | 1 | |
| 15 | 2002 | 15 | |
| 16 | 1999 | 10 | |
| 17 | 1998 | 0 | |
| 18 | 1998 | 15 | |
| 19 | 1995 | 8 | |
| 20 | 1989 | 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), Respiratory viral infections research (7 papers), Parvovirus B19 Infection Studies (6 papers), Polyomavirus and related diseases (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral-associated cancers and disorders (5 papers) and Hepatitis B Virus Studies (5 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.