Alba Escalera
Impact in
- 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
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 3
- COVID-19 Clinical Research Studies 2
-
- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
- Adipokines, Inflammation, and Metabolic Diseases 1
- Co-authors
- Teresa Aydillo (10 shared papers)Adolfo García‐Sastre (9 shared papers)Jordi Carratalà (3 shared papers)Alexander Rombauts (2 shared papers)Gabriela Abelenda-Alonso (2 shared papers)Florian Krammer (2 shared papers)Sadaf Aslam (3 shared papers)Fatima Amanat (1 shared paper)
- Journals
- Emerging Microbes & Infections (2 papers)Cell Reports Medicine (2 papers)Nature Communications (1 paper)iScience (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesSpainRussia
In The Last Decade
Alba Escalera
9 papers receiving 222 citations
Peers
Comparison fields: 5 of 38
- Infectious Diseases 134
- Modeling and Simulation 13
- Epidemiology 71
- Animal Science and Zoology 22
- Immunology 38
Countries citing papers authored by Alba Escalera
This map shows the geographic impact of Alba Escalera'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 Alba Escalera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alba Escalera more than expected).
Fields of papers citing papers by Alba Escalera
This network shows the impact of papers produced by Alba Escalera. 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 Alba Escalera. The network helps show where Alba Escalera may publish in the future.
Co-authors
The 25 scholars most cited alongside Alba Escalera, 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 | 123 | |
| 2 | 2019 | 35 | |
| 3 | 2020 | 21 | |
| 4 | 2024 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Alba Escalera
Alba Escalera is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Ecology, having authored 11 papers that have together received 223 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 detection and testing (3 papers), Respiratory viral infections research (3 papers), COVID-19 Clinical Research Studies (2 papers), Immune responses and vaccinations (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Infectious Diseases (134 citations), Modeling and Simulation (13 citations), Epidemiology (71 citations), Animal Science and Zoology (22 citations) and Immunology (38 citations). Alba Escalera has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Teresa Aydillo, Adolfo García‐Sastre, Jordi Carratalà, Alexander Rombauts, Gabriela Abelenda-Alonso, Florian Krammer, Sadaf Aslam, Fatima Amanat, Kaijun Jiang and Daniel Stadlbauer. Their work appears in journals such as Emerging Microbes & Infections, Cell Reports Medicine, Nature Communications, iScience and Cell Systems.
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.