Eva Tabernero
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 7
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
-
- Venous Thromboembolism Diagnosis and Management 3
- Co-authors
- Delia Goletti (1 shared paper)Gina Gualano (1 shared paper)Fabrizio Palmieri (1 shared paper)Emanuele Pontali (1 shared paper)Antonio Spanevello (1 shared paper)Francesco Lipani (1 shared paper)Lia D’Ambrosio (1 shared paper)Giovanni Sotgiu (1 shared paper)
In The Last Decade
Eva Tabernero
13 papers receiving 695 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 497
- Modeling and Simulation 49
- Applied Microbiology and Biotechnology 13
- Neurology 79
- General Dentistry 7
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 | 308 | |
| 2 | 2020 | 184 | |
| 3 | 2020 | 162 | |
| 4 | 2021 | 16 | |
| 5 | 2019 | 14 | |
| 6 | 2021 | 9 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 6 | |
| 10 | 1997 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2023 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Eva Tabernero
Eva Tabernero is a scholar working on Infectious Diseases, Internal Medicine, Epidemiology, Microbiology and Modeling and Simulation, having authored 18 papers that have together received 722 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (5 papers), COVID-19 Clinical Research Studies (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Infectious Diseases and Tuberculosis (3 papers), Diagnosis and treatment of tuberculosis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Infectious Diseases (497 citations), Modeling and Simulation (49 citations), Applied Microbiology and Biotechnology (13 citations), Neurology (79 citations) and General Dentistry (7 citations). Eva Tabernero has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Delia Goletti, Gina Gualano, Fabrizio Palmieri, Emanuele Pontali, Antonio Spanevello, Francesco Lipani, Lia D’Ambrosio, Giovanni Sotgiu, José-María García-García and Adrián Sánchez‐Montalvá. Their work appears in journals such as Respiratory Medicine, Emerging infectious diseases, Scientific Reports, The International Journal of Tuberculosis and Lung Disease and Thrombosis and Haemostasis.
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.