Amelia Sánchez‐Capelo

1.0k citations
21 papers · 819 · h-index 13

Impact in

Papers in

Amelia Sánchez‐Capelo

21 papers receiving 803 citations

Peers

Amelia Sánchez‐Capelo
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 254
  • Developmental Neuroscience 45
  • Neurology 77
  • Neurology 122
  • Cancer Research 108
Replace Alexandre Favereaux with:
Alexandre Favereaux France
Sabine Traver France
Hirohide Sawada Japan
Romain Cartoni United States
Gye Sun Jeon South Korea
Zihui Xu China
Keiko Nakanishi Japan
Jelena Mojsilovic‐Petrovic United States
Senlin Li United States
Ida Manna Italy
Amelia Sánchez‐Capelo relative to Alexandre Favereaux France Alexandre Favereaux's profile →
Citations per field
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Alexandre Favereaux · 1×
Citations per year

Countries citing papers authored by Amelia Sánchez‐Capelo

Since Specialization
Citations

This map shows the geographic impact of Amelia Sánchez‐Capelo'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 Amelia Sánchez‐Capelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amelia Sánchez‐Capelo more than expected).

Fields of papers citing papers by Amelia Sánchez‐Capelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amelia Sánchez‐Capelo. 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 Amelia Sánchez‐Capelo. The network helps show where Amelia Sánchez‐Capelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Amelia Sánchez‐Capelo, 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 Amelia Sánchez‐Capelo Line = papers co-authored together Amelia Sánchez‐Capelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005185
2 2007131
3 2014104
4 199966
5 200363
6 201146
7 200643
8 202037
9 200328
10 201322
11 199519
12 199318
13 201616
14 199612
15 19979
16 19998
17 19997
18 19952
19 20091
20 20031

About Amelia Sánchez‐Capelo

Amelia Sánchez‐Capelo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Neurology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 819 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Hormonal and reproductive studies (3 papers), Amino Acid Enzymes and Metabolism (3 papers), RNA Interference and Gene Delivery (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (254 citations), Developmental Neuroscience (45 citations), Neurology (77 citations), Neurology (122 citations) and Cancer Research (108 citations). Amelia Sánchez‐Capelo has collaborated with scholars based in Spain, France and Belgium. Frequent co-authors include Marı́a-Dolores Muñoz, Rosa M. Giráldez‐Pérez, Jacques Mallet, Leszek Kaczmarek, Jacek Jaworski, Silvia Tapia‐González, Rafael Peñafiel, Olga Corti, Filip A. Konopacki and Grzegorz M. Wilczyński. Their work appears in journals such as Neuroreport, Neonatology, Journal of Neuroscience, Cytokine & Growth Factor Reviews and Proceedings of the National Academy of Sciences.

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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