Daniel Torralba
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Immunology top 10%
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
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- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
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- Extracellular vesicles in disease 3
- Co-authors
- Francisco Sánchez‐Madrid (9 shared papers)Francesc Baixauli (4 shared papers)Irene Fernández‐Delgado (3 shared papers)Marı́a Mittelbrunn (3 shared papers)Carolina Villarroya‐Beltri (2 shared papers)Olga Moreno-Gonzalo (2 shared papers)Susana Guerra (1 shared paper)Carlos Enrich (1 shared paper)
- Journals
- Nature Communications (2 papers)Science Advances (2 papers)Frontiers in Cell and Developmental Biology (1 paper)Immunity (1 paper)Viruses (1 paper)
- Partner nations
- SpainSwitzerlandSouth Korea
In The Last Decade
Daniel Torralba
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 342
- Immunology 294
- Molecular Biology 827
- Neurology 57
- Clinical Biochemistry 43
Countries citing papers authored by Daniel Torralba
This map shows the geographic impact of Daniel Torralba'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 Daniel Torralba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Torralba more than expected).
Fields of papers citing papers by Daniel Torralba
This network shows the impact of papers produced by Daniel Torralba. 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 Daniel Torralba. The network helps show where Daniel Torralba may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Torralba, 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 | 2016 | 367 | |
| 2 | 2016 | 315 | |
| 3 | 2018 | 280 | |
| 4 | 2016 | 50 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 7 | |
| 9 | 2017 | 6 | |
| 10 | 2019 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2018 | 0 |
About Daniel Torralba
Daniel Torralba is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Computer Vision and Pattern Recognition and Epidemiology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), interferon and immune responses (1 paper), Metabolism and Genetic Disorders (1 paper), Cell Image Analysis Techniques (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Cancer Research (342 citations), Immunology (294 citations), Molecular Biology (827 citations), Neurology (57 citations) and Clinical Biochemistry (43 citations). Daniel Torralba has collaborated with scholars based in Spain, Switzerland and South Korea. Frequent co-authors include Francisco Sánchez‐Madrid, Francesc Baixauli, Irene Fernández‐Delgado, Marı́a Mittelbrunn, Carolina Villarroya‐Beltri, Olga Moreno-Gonzalo, Susana Guerra, Carlos Enrich, Sara Baldanta and Noa B. Martín‐Cófreces. Their work appears in journals such as Nature Communications, Science Advances, Frontiers in Cell and Developmental Biology, Immunity and Viruses.
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.