Sílvia Sánchez

962 citations
50 papers · 634 · h-index 18

Impact in

Papers in

Sílvia Sánchez

46 papers receiving 605 citations

Peers

Sílvia Sánchez
Comparison fields: 5 of 101
  • Physiology 73
  • Cellular and Molecular Neuroscience 116
  • Physiology 92
  • Genetics 37
  • Genetics 102
Replace C. J. Whelan with:
C. J. Whelan United Kingdom
Kazuyoshi Morimoto Japan
H. Paris France
Julie Y. Crider United States
Donald V. Daniels United States
Noriko Kawamura Japan
Jan O. Johansson United States
Yang Shu China
Wei-Dong Le China
H. Pachéco France
Sílvia Sánchez relative to C. J. Whelan United Kingdom C. J. Whelan's profile →
Citations per field
00.5×4.9×
C. J. Whelan · 1×
Citations per year

Countries citing papers authored by Sílvia Sánchez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sílvia Sánchez Line = papers co-authored together Sílvia Sánchez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 200349
3 200539
4 200039
5 201130
6 201229
7 201927
8 200326
9 200725
10 201824
11 201424
12 200023
13 200522
14 201821
15 199319
16 201918
17 201018
18 201217
19 201217
20 201112

About Sílvia Sánchez

Sílvia Sánchez is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Physiology and Plant Science, having authored 50 papers that have together received 634 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Pain Mechanisms and Treatments (6 papers), Neuropeptides and Animal Physiology (6 papers), DNA Repair Mechanisms (5 papers), Prenatal Screening and Diagnostics (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Inflammatory Myopathies and Dermatomyositis (2 papers). The work is most often cited by research in Physiology (73 citations), Cellular and Molecular Neuroscience (116 citations), Physiology (92 citations), Genetics (37 citations) and Genetics (102 citations). Sílvia Sánchez has collaborated with scholars based in Spain, Mexico and United Kingdom. Frequent co-authors include Víctor Fernández‐Dueñas, Francisco Ciruela, Margarita M. Puig, Olga Pol, Bertha Molina, Sara Frı́as, Lourdes Carbonell, Alessandra Carnevale, Asunción Romero and Jorge Gandía. Their work appears in journals such as European Journal of Pharmacology, Molecular Cytogenetics, European Journal of Pain, Pharmacology and CNS & Neurological Disorders - Drug Targets.

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.

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