Daniel Sánchez‐Taltavull
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- RNA Research and Splicing 4
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Single-cell and spatial transcriptomics 2
- Surgery 6
- Co-authors
- Édgar Roldán (4 shared papers)Ana Lisica (1 shared paper)Stephan W. Grill (1 shared paper)Deborah Stroka (15 shared papers)Daniel Candinas (13 shared papers)Guido Beldi (15 shared papers)Michel Dosch (3 shared papers)Nicolas Mélin (5 shared papers)
- Journals
- British journal of surgery (4 papers)PLoS ONE (3 papers)Journal of Theoretical Biology (3 papers)Physical review. E (2 papers)eLife (2 papers)
- Partner nations
- SwitzerlandCanadaUnited States
In The Last Decade
Daniel Sánchez‐Taltavull
29 papers receiving 583 citations
Peers
Comparison fields: 5 of 108
- Modeling and Simulation 35
- Hepatology 39
- Statistical and Nonlinear Physics 63
- Physiology 21
- Molecular Biology 306
Countries citing papers authored by Daniel Sánchez‐Taltavull
This map shows the geographic impact of Daniel Sánchez‐Taltavull'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 Sánchez‐Taltavull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sánchez‐Taltavull more than expected).
Fields of papers citing papers by Daniel Sánchez‐Taltavull
This network shows the impact of papers produced by Daniel Sánchez‐Taltavull. 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 Sánchez‐Taltavull. The network helps show where Daniel Sánchez‐Taltavull may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sánchez‐Taltavull, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 117 | |
| 2 | 2019 | 84 | |
| 3 | 2020 | 83 | |
| 4 | 2021 | 66 | |
| 5 | 2021 | 48 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 20 | |
| 8 | 2016 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2015 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2016 | 6 | |
| 17 | 2024 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2024 | 4 |
About Daniel Sánchez‐Taltavull
Daniel Sánchez‐Taltavull is a scholar working on Molecular Biology, Surgery, Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 34 papers that have together received 584 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), RNA Research and Splicing (4 papers), Gene expression and cancer classification (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Gene Regulatory Network Analysis (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Single-cell and spatial transcriptomics (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Modeling and Simulation (35 citations), Hepatology (39 citations), Statistical and Nonlinear Physics (63 citations), Physiology (21 citations) and Molecular Biology (306 citations). Daniel Sánchez‐Taltavull has collaborated with scholars based in Switzerland, Canada and United States. Frequent co-authors include Édgar Roldán, Ana Lisica, Stephan W. Grill, Deborah Stroka, Daniel Candinas, Guido Beldi, Michel Dosch, Nicolas Mélin, Joël Zindel and Theodore J. Perkins. Their work appears in journals such as British journal of surgery, PLoS ONE, Journal of Theoretical Biology, Physical review. E and eLife.
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.