Mario Rodríguez-Domínguez
- Epidemiology
- Infectious Diseases top 10%
- Molecular Biology
- Microbiology top 5%
- Molecular Medicine top 10%
- Co-authors
- Juan Carlos GalánRafael CantónJosé María González‐AlbaRosa del CampoFernando BaqueroTeresa PuertaJorge del RomeroÂngela Novais
- Topics
- Reproductive tract infections research (12 papers)SARS-CoV-2 and COVID-19 Research (10 papers)COVID-19 Clinical Research Studies (9 papers)
- Partner nations
- SpainUnited StatesDemocratic Republic of the Congo
In The Last Decade
Mario Rodríguez-Domínguez
45 papers receiving 422 citations
Peers
Comparison fields: 5 of 82
- Epidemiology 160
- Infectious Diseases 121
- Molecular Biology 87
- Microbiology 86
- Molecular Medicine 57
Countries citing papers authored by Mario Rodríguez-Domínguez
This map shows the geographic impact of Mario Rodríguez-Domínguez'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 Mario Rodríguez-Domínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Rodríguez-Domínguez more than expected).
Fields of papers citing papers by Mario Rodríguez-Domínguez
This network shows the impact of papers produced by Mario Rodríguez-Domínguez. 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 Mario Rodríguez-Domínguez. The network helps show where Mario Rodríguez-Domínguez may publish in the future.
Co-authorship network of co-authors of Mario Rodríguez-Domínguez
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Rodríguez-Domínguez. A scholar is included among the top collaborators of Mario Rodríguez-Domínguez 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 Mario Rodríguez-Domínguez. Mario Rodríguez-Domínguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 18 | |
| 18 | 10 | |
| 19 | 15 | |
| 20 | 27 |
About Mario Rodríguez-Domínguez
Mario Rodríguez-Domínguez is a scholar working on Microbiology, Infectious Diseases and Virology, having authored 47 papers that have together received 428 indexed citations. Recurring topics across this work include Reproductive tract infections research (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and COVID-19 Clinical Research Studies (9 papers). The work is most often cited by research in Microbiology (86 citations), Molecular Medicine (57 citations) and Infectious Diseases (121 citations). Mario Rodríguez-Domínguez has collaborated with scholars based in Spain, United States and Democratic Republic of the Congo. Frequent co-authors include Juan Carlos Galán, Rafael Cantón, José María González‐Alba, Rosa del Campo, Fernando Baquero, Teresa Puerta, Jorge del Romero, Ângela Novais, Matilde Sánchez‐Conde and Javier Martínez‐Sanz. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.
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.