Eva Sánchez
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 13
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- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 4
- Co-authors
- Rafael Bravo de la Parra (13 shared papers)Pierre Auger (10 shared papers)Ovide Arino (7 shared papers)Diana Valbuena (5 shared papers)Amparo Galán (5 shared papers)Carlos Simón (5 shared papers)António Pellicer (3 shared papers)Glenn F. Webb (3 shared papers)
- Journals
- Reproductive BioMedicine Online (3 papers)Mathematical Models and Methods in Applied Sciences (3 papers)Differential and Integral Equations (2 papers)Mathematical Biosciences (2 papers)Acta Biotheoretica (2 papers)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Eva Sánchez
27 papers receiving 489 citations
Peers
Comparison fields: 5 of 65
- Modeling and Simulation 58
- Public Health, Environmental and Occupational Health 231
- Numerical Analysis 37
- Genetics 118
- Mathematical Physics 37
Countries citing papers authored by Eva Sánchez
This map shows the geographic impact of Eva Sánchez'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 Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Sánchez more than expected).
Fields of papers citing papers by Eva Sánchez
This network shows the impact of papers produced by Eva Sánchez. 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 Sánchez. The network helps show where Eva Sánchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Sánchez, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 59 | |
| 2 | 1995 | 37 | |
| 3 | 1995 | 36 | |
| 4 | 2006 | 34 | |
| 5 | 2010 | 32 | |
| 6 | 2000 | 32 | |
| 7 | 1997 | 27 | |
| 8 | 2002 | 27 | |
| 9 | 1999 | 26 | |
| 10 | 2013 | 26 | |
| 11 | 2007 | 26 | |
| 12 | 2008 | 18 | |
| 13 | 2000 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2001 | 12 | |
| 16 | 1997 | 12 | |
| 17 | 1996 | 11 | |
| 18 | 2005 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2005 | 9 |
About Eva Sánchez
Eva Sánchez is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Modeling and Simulation and Numerical Analysis, having authored 28 papers that have together received 506 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Mathematical Biology Tumor Growth (6 papers), Evolution and Genetic Dynamics (6 papers), Pluripotent Stem Cells Research (5 papers), Numerical methods for differential equations (4 papers), CRISPR and Genetic Engineering (4 papers), Evolutionary Game Theory and Cooperation (4 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Public Health, Environmental and Occupational Health (231 citations), Numerical Analysis (37 citations), Genetics (118 citations) and Mathematical Physics (37 citations). Eva Sánchez has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Rafael Bravo de la Parra, Pierre Auger, Ovide Arino, Diana Valbuena, Amparo Galán, Carlos Simón, António Pellicer, Glenn F. Webb, Rosanna Villella-Bressan and Janet Dyson. Their work appears in journals such as Reproductive BioMedicine Online, Mathematical Models and Methods in Applied Sciences, Differential and Integral Equations, Mathematical Biosciences and Acta Biotheoretica.
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.