Maite Verde
Impact in
- Parasitology top 10%
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
Papers in
-
- Research on Leishmaniasis Studies 12
- Epidemiology 12
- Trypanosoma species research and implications 10
- Co-authors
- Sergio Villanueva‐Saz (24 shared papers)Antonio Fernández (19 shared papers)Ana Isabel González (8 shared papers)Héctor Ruíz (11 shared papers)Delia Lacasta (13 shared papers)M. Magdalena Alcover (7 shared papers)Roser Fisa (7 shared papers)Cristina Riera (8 shared papers)
In The Last Decade
Maite Verde
24 papers receiving 270 citations
Peers
Comparison fields: 5 of 35
- Parasitology 67
- Infectious Diseases 133
- Animal Science and Zoology 71
- Public Health, Environmental and Occupational Health 113
- Dermatology 31
Countries citing papers authored by Maite Verde
This map shows the geographic impact of Maite Verde'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 Maite Verde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maite Verde more than expected).
Fields of papers citing papers by Maite Verde
This network shows the impact of papers produced by Maite Verde. 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 Maite Verde. The network helps show where Maite Verde may publish in the future.
Co-authors
The 25 scholars most cited alongside Maite Verde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2021 | 42 | |
| 3 | 2021 | 37 | |
| 4 | 2009 | 36 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Maite Verde
Maite Verde is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Infectious Diseases, Parasitology and Animal Science and Zoology, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (12 papers), Trypanosoma species research and implications (10 papers), Animal Virus Infections Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Parasites and Host Interactions (3 papers), Parasitic Diseases Research and Treatment (3 papers), Poxvirus research and outbreaks (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Parasitology (67 citations), Infectious Diseases (133 citations), Animal Science and Zoology (71 citations), Public Health, Environmental and Occupational Health (113 citations) and Dermatology (31 citations). Maite Verde has collaborated with scholars based in Spain, Germany and Denmark. Frequent co-authors include Sergio Villanueva‐Saz, Antonio Fernández, Ana Isabel González, Héctor Ruíz, Delia Lacasta, M. Magdalena Alcover, Roser Fisa, Cristina Riera, María Dolores Pérez and Julián Pardo. Their work appears in journals such as Veterinary Research Communications, Veterinary Quarterly, Parasites & Vectors, Veterinary Parasitology Regional Studies and Reports and Acta veterinaria Scandinavica.
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.