Bruno Vasconcelos

1.0k citations
8 papers · 782 · h-index 7

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

    • Alzheimer's disease research and treatments 6
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Bruno Vasconcelos

8 papers receiving 775 citations

Peers

Bruno Vasconcelos
Comparison fields: 5 of 64
  • Physiology 606
  • Neurology 180
  • Biological Psychiatry 27
  • Cellular and Molecular Neuroscience 173
  • Neurology 88
Replace Ajeet Rijal Upadhaya with:
Ajeet Rijal Upadhaya Germany
Yunn Chyn Tung United States
Mathew A. Sherman United States
Jason J. Fritz United States
Virginie Buggia-Prévot United States
David Hurtado United States
Annalisa Cavallini United Kingdom
Ashley N. Nilson United States
Alaina Baker‐Nigh United States
Monika Žilková Slovakia
Bruno Vasconcelos relative to Ajeet Rijal Upadhaya Germany Ajeet Rijal Upadhaya's profile →
Citations per field
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Ajeet Rijal Upadhaya · 1×
Citations per year

Countries citing papers authored by Bruno Vasconcelos

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Vasconcelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2014211
2 2014163
3 2016145
4 2015120
5 201794
6 201438
7 20157
8 20204

About Bruno Vasconcelos

Bruno Vasconcelos is a scholar working on Physiology, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology, having authored 8 papers that have together received 782 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Ubiquitin and proteasome pathways (1 paper), Computational Drug Discovery Methods (1 paper) and Phytochemistry and Biological Activities (1 paper). The work is most often cited by research in Physiology (606 citations), Neurology (180 citations), Biological Psychiatry (27 citations), Cellular and Molecular Neuroscience (173 citations) and Neurology (88 citations). Bruno Vasconcelos has collaborated with scholars based in Belgium, United States and Brazil. Frequent co-authors include Ilse Dewachter, Ilie‐Cosmin Stancu, Dick Terwel, Diederik Moechars, Pascal Kienlen‐Campard, Jean‐Noël Octave, Arjan Buist, Kristof Van Kolen, Peng Wang and Peter Baatsen. Their work appears in journals such as Acta Neuropathologica, Molecules, The FASEB Journal, Neurobiology of Disease and Molecular Neurodegeneration.

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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