Arantxa Tabernero

3.5k citations
74 papers · 2.8k · h-index 35

Impact in

Papers in

Arantxa Tabernero

74 papers receiving 2.8k citations

Peers

Arantxa Tabernero
Comparison fields: 5 of 110
  • Developmental Neuroscience 226
  • Cellular and Molecular Neuroscience 763
  • Neurology 322
  • Molecular Biology 1.8k
  • Physiology 518
Replace Michio Tamatani with:
Michio Tamatani Japan
Sumiko Kiryu‐Seo Japan
Mara D’Onofrio Italy
Santiago Ambrosio Spain
Luigi Formisano Italy
Tetsuya Nagayama United States
Donald Pizzo United States
Xiaojie Li China
Teng‐Nan Lin Taiwan
Eun Mi Hwang South Korea
Arantxa Tabernero relative to Michio Tamatani Japan Michio Tamatani's profile →
Citations per field
00.5×6.8×
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Citations per year

Countries citing papers authored by Arantxa Tabernero

Since Specialization
Citations

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

Fields of papers citing papers by Arantxa Tabernero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arantxa Tabernero. 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 Arantxa Tabernero. The network helps show where Arantxa Tabernero may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019140
2 1997140
3 2001134
4 1997108
5 199696
6 200193
7 199690
8 200686
9 201882
10 201764
11 200463
12 200263
13 201462
14 202262
15 200261
16 199361
17 200456
18 200855
19 200754
20 201051

About Arantxa Tabernero

Arantxa Tabernero is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Cancer Research and Cell Biology, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Connexins and lens biology (31 papers), Neuroscience and Neuropharmacology Research (13 papers), Heat shock proteins research (10 papers), Nerve injury and regeneration (5 papers), Lipid metabolism and biosynthesis (5 papers), Fatty Acid Research and Health (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (226 citations), Cellular and Molecular Neuroscience (763 citations), Neurology (322 citations), Molecular Biology (1.8k citations) and Physiology (518 citations). Arantxa Tabernero has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include José M. Medina, José M. Medina, Ana Luisa Velasco, Eva Lavado, Luís I. Sánchez-Abarca, Christian Giaume, Rosa Sánchez‐Alvarez, C. Giaume, Ester Gangoso and Kristján R. Jessen. Their work appears in journals such as Journal of Neurochemistry, Glia, Brain Research, Journal of Alzheimer s Disease and Oncogene.

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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