Eva Tabernero
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Tuberculosis Research and Epidemiology 3
- COVID-19 Clinical Research Studies 3
-
- Mycobacterium research and diagnosis 4
- Co-authors
- Antonio Spanevello (1 shared paper)Simone Villa (1 shared paper)Delia Goletti (1 shared paper)José-María García-García (2 shared papers)F. Lipani (1 shared paper)Adrián Sánchez‐Montalvá (1 shared paper)Lia D’Ambrosio (1 shared paper)Giovanni Sotgiu (1 shared paper)
- Journals
- Infection (1 paper)European Journal of Internal Medicine (1 paper)International Journal of Infectious Diseases (1 paper)Respiratory Medicine (1 paper)ERJ Open Research (1 paper)
- Partner nations
- SpainFrancePalestinian Territory
In The Last Decade
Eva Tabernero
9 papers receiving 196 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 154
- Modeling and Simulation 20
- Applied Microbiology and Biotechnology 7
- Neurology 35
- Critical Care and Intensive Care Medicine 9
Countries citing papers authored by Eva Tabernero
This map shows the geographic impact of Eva Tabernero'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 Eva Tabernero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Tabernero more than expected).
Fields of papers citing papers by Eva Tabernero
This network shows the impact of papers produced by Eva Tabernero. 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 Eva Tabernero. The network helps show where Eva Tabernero may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Tabernero, 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 | 2020 | 152 | |
| 2 | 2021 | 15 | |
| 3 | 2019 | 14 | |
| 4 | 2021 | 9 | |
| 5 | 2022 | 4 | |
| 6 | 1997 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Eva Tabernero
Eva Tabernero is a scholar working on Infectious Diseases, Epidemiology, Internal Medicine, Small Animals and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 200 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Tuberculosis Research and Epidemiology (3 papers), COVID-19 Clinical Research Studies (3 papers), COVID-19 diagnosis using AI (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Infectious Diseases and Mycology (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (154 citations), Modeling and Simulation (20 citations), Applied Microbiology and Biotechnology (7 citations), Neurology (35 citations) and Critical Care and Intensive Care Medicine (9 citations). Eva Tabernero has collaborated with scholars based in Spain, France and Palestinian Territory. Frequent co-authors include Antonio Spanevello, Simone Villa, Delia Goletti, José-María García-García, F. Lipani, Adrián Sánchez‐Montalvá, Lia D’Ambrosio, Giovanni Sotgiu, Dina Visca and Gina Gualano. Their work appears in journals such as Infection, European Journal of Internal Medicine, International Journal of Infectious Diseases, Respiratory Medicine and ERJ Open Research.
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.