Isabel Bravo‐Ferrer

468 citations
9 papers · 337 · h-index 6

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Neurological Disorders and Treatments 1
    • S100 Proteins and Annexins 1

Isabel Bravo‐Ferrer

9 papers receiving 333 citations

Peers

Isabel Bravo‐Ferrer
Comparison fields: 5 of 58
  • Developmental Neuroscience 62
  • Neurology 104
  • Biological Psychiatry 16
  • Immunology 80
  • Cellular and Molecular Neuroscience 61
Replace Gabriella Pál with:
Gabriella Pál Hungary
Antony Brayan Campos-Salazar United States
Hannes Kaddatz Germany
Drew Adler United States
Yongbo Zhang China
Gloria Vegliante Italy
Jullet Han United States
Paola Fabbrizio Italy
Sara L. Domínguez United States
Víctor G. Romera Spain
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Citations per year

Countries citing papers authored by Isabel Bravo‐Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Bravo‐Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2019115
2 201993
3 201655
4 201939
5 202119
6 20228
7 20234
8 20252
9 20252

About Isabel Bravo‐Ferrer

Isabel Bravo‐Ferrer is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 337 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neurological Disorders and Treatments (1 paper), Circadian rhythm and melatonin (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Retinal Diseases and Treatments (1 paper), S100 Proteins and Annexins (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (62 citations), Neurology (104 citations), Biological Psychiatry (16 citations), Immunology (80 citations) and Cellular and Molecular Neuroscience (61 citations). Isabel Bravo‐Ferrer has collaborated with scholars based in Spain, United Kingdom and Austria. Frequent co-authors include Marı́a A. Moro, Ignacio Lizasoaín, Alicia García‐Culebras, Violeta Durán‐Laforet, María Isabel Cuartero, Jesús M. Pradillo, Carolina Peña‐Martínez, Juan M. García‐Segura, Fernando Ostos and Jaime Díaz‐Guzmán. Their work appears in journals such as Stroke, Frontiers in Aging Neuroscience, Frontiers in Cellular Neuroscience, Journal of Clinical Investigation and The FASEB Journal.

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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