Lorena Sánchez-Felipe
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
Papers in
-
- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 3
- SARS-CoV-2 and COVID-19 Research 2
-
- Virology and Viral Diseases 6
- Co-authors
- Enrique Villar (3 shared papers)Isabel Muñoz‐Barroso (3 shared papers)Kouacou V. Konan (2 shared papers)Kai Dallmeier (8 shared papers)Johan Neyts (8 shared papers)Jason M. Mackenzie (1 shared paper)Rebecca L Ambrose (1 shared paper)Qingxia Han (1 shared paper)
- Journals
- Nature Communications (2 papers)EBioMedicine (2 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)European Journal of Immunology (1 paper)Journal of Virology (1 paper)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Lorena Sánchez-Felipe
15 papers receiving 344 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 145
- Virology 27
- Animal Science and Zoology 50
- Hepatology 32
- Epidemiology 102
Countries citing papers authored by Lorena Sánchez-Felipe
This map shows the geographic impact of Lorena Sánchez-Felipe'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 Lorena Sánchez-Felipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Sánchez-Felipe more than expected).
Fields of papers citing papers by Lorena Sánchez-Felipe
This network shows the impact of papers produced by Lorena Sánchez-Felipe. 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 Lorena Sánchez-Felipe. The network helps show where Lorena Sánchez-Felipe may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena Sánchez-Felipe, 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 | 2014 | 69 | |
| 2 | 2021 | 67 | |
| 3 | 2012 | 43 | |
| 4 | 2013 | 37 | |
| 5 | 2011 | 33 | |
| 6 | 2014 | 29 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 1 |
About Lorena Sánchez-Felipe
Lorena Sánchez-Felipe is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Virology and Molecular Biology, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Virology and Viral Diseases (6 papers), Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (5 papers), Viral Infections and Outbreaks Research (3 papers), HIV Research and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Infectious Diseases (145 citations), Virology (27 citations), Animal Science and Zoology (50 citations), Hepatology (32 citations) and Epidemiology (102 citations). Lorena Sánchez-Felipe has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Enrique Villar, Isabel Muñoz‐Barroso, Kouacou V. Konan, Kai Dallmeier, Johan Neyts, Jason M. Mackenzie, Rebecca L Ambrose, Qingxia Han, Kentaro Hanada and Irfan Khan. Their work appears in journals such as Nature Communications, EBioMedicine, Biochimica et Biophysica Acta (BBA) - Biomembranes, European Journal of Immunology and Journal of Virology.
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.