Sílvia Sánchez
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
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- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 7
- DNA Repair Mechanisms 5
- Genetics 10
- Genomic variations and chromosomal abnormalities 7
- Co-authors
- Víctor Fernández‐Dueñas (11 shared papers)Francisco Ciruela (9 shared papers)Margarita M. Puig (4 shared papers)Olga Pol (3 shared papers)Sara Frı́as (12 shared papers)Bertha Molina (10 shared papers)Lourdes Carbonell (5 shared papers)Alessandra Carnevale (4 shared papers)
In The Last Decade
Sílvia Sánchez
50 papers receiving 605 citations
Peers
Comparison fields: 5 of 102
- Physiology 74
- Cellular and Molecular Neuroscience 126
- Genetics 54
- Physiology 106
- Small Animals 29
Countries citing papers authored by Sílvia Sánchez
This map shows the geographic impact of Sílvia 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 Sílvia Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sílvia Sánchez more than expected).
Fields of papers citing papers by Sílvia Sánchez
This network shows the impact of papers produced by Sílvia 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 Sílvia Sánchez. The network helps show where Sílvia Sánchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Sílvia 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 60 | |
| 2 | 2003 | 49 | |
| 3 | 2000 | 40 | |
| 4 | 2005 | 39 | |
| 5 | 2012 | 29 | |
| 6 | 2011 | 29 | |
| 7 | 2019 | 27 | |
| 8 | 2003 | 26 | |
| 9 | 2007 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2000 | 23 | |
| 12 | 2018 | 22 | |
| 13 | 2005 | 21 | |
| 14 | 2018 | 20 | |
| 15 | 1993 | 19 | |
| 16 | 2012 | 17 | |
| 17 | 2012 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2010 | 16 | |
| 20 | 2011 | 12 |
About Sílvia Sánchez
Sílvia Sánchez is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Physiology and Plant Science, having authored 53 papers that have together received 638 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Pain Mechanisms and Treatments (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Neuropeptides and Animal Physiology (6 papers), DNA Repair Mechanisms (5 papers), Prenatal Screening and Diagnostics (4 papers), Mast cells and histamine (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Physiology (74 citations), Cellular and Molecular Neuroscience (126 citations), Genetics (54 citations), Physiology (106 citations) and Small Animals (29 citations). Sílvia Sánchez has collaborated with scholars based in Spain, Mexico and Italy. Frequent co-authors include Víctor Fernández‐Dueñas, Francisco Ciruela, Margarita M. Puig, Olga Pol, Sara Frı́as, Bertha Molina, Lourdes Carbonell, Alessandra Carnevale, Asunción Romero and Jorge Gandía. Their work appears in journals such as European Journal of Pharmacology, Molecular Cytogenetics, Pharmacology, European Journal of Pain and Pharmacology Biochemistry and Behavior.
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.