Isabel Pérez‐Otaño

4.3k citations
49 papers · 3.4k · h-index 30

Impact in

Papers in

Isabel Pérez‐Otaño

49 papers receiving 3.3k citations

Peers

Isabel Pérez‐Otaño
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 2.4k
  • Developmental Neuroscience 257
  • Neurology 417
  • Biological Psychiatry 96
  • Cognitive Neuroscience 587
Replace Maria Vincenza Catania with:
Maria Vincenza Catania Italy
Alaa El-Husseini Canada
Anthone W. Dunah United States
William Ju Canada
François Conquet Switzerland
Dane M. Chetkovich United States
Shigeo Takamori Japan
Pascal Legendre France
Peter Vanhoutte France
Nicola Berretta Italy
Isabel Pérez‐Otaño relative to Maria Vincenza Catania Italy Maria Vincenza Catania's profile →
Citations per field
00.5×1.5×2.1×
Maria Vincenza Catania · 1×
Citations per year

Countries citing papers authored by Isabel Pérez‐Otaño

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Pérez‐Otaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel Pérez‐Otaño. 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 Isabel Pérez‐Otaño. The network helps show where Isabel Pérez‐Otaño may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998396
2 2005274
3 2001216
4 2010202
5 1995160
6 2006158
7 2016149
8 2002145
9 2010127
10 2009124
11 2011114
12 2001113
13 201396
14 201396
15 201392
16 200483
17 201967
18 199958
19 201058
20 201050

About Isabel Pérez‐Otaño

Isabel Pérez‐Otaño is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cognitive Neuroscience and Cell Biology, having authored 49 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (35 papers), Receptor Mechanisms and Signaling (9 papers), Ion channel regulation and function (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Genetic Neurodegenerative Diseases (6 papers), Cellular transport and secretion (6 papers), Neurological disorders and treatments (6 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Developmental Neuroscience (257 citations), Neurology (417 citations), Biological Psychiatry (96 citations) and Cognitive Neuroscience (587 citations). Isabel Pérez‐Otaño has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Michael Ehlers, Stephen F. Heinemann, John F. Wesseling, Sònia Marco, Rylan S. Larsen, Stuart A. Lipton, Maile A. Henson, Benjamin D. Philpot, Adam C. Roberts and Nikolaus J. Sucher. Their work appears in journals such as Journal of Neuroscience, Neuron, eLife, Neurobiology of Disease and Alzheimer s & Dementia.

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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