Felipe C. Ribeiro

2.3k citations
14 papers · 537 · h-index 9

Impact in

Papers in

    • Alzheimer's disease research and treatments 5
    • Ubiquitin and proteasome pathways 3
    • Mitochondrial Function and Pathology 2

Felipe C. Ribeiro

13 papers receiving 534 citations

Peers

Felipe C. Ribeiro
Comparison fields: 5 of 67
  • Biological Psychiatry 71
  • Neurology 110
  • Physiology 327
  • Behavioral Neuroscience 23
  • Cellular and Molecular Neuroscience 105
Replace Natalia M. Lyra e Silva with:
Natalia M. Lyra e Silva Brazil
José Henrique Ledo United States
Holly C. Hunsberger United States
Hong-Yan Cai China
Rafaella A. Gonçalves Brazil
Weam W. Ibrahim Egypt
Sraboni Sarkar United States
Chitra Vinnakota New Zealand
Hei-Jen Huang Taiwan
Karan Govindpani New Zealand
Felipe C. Ribeiro relative to Natalia M. Lyra e Silva Brazil Natalia M. Lyra e Silva's profile →
Citations per field
00.5×1.6×
Natalia M. Lyra e Silva · 1×
Citations per year

Countries citing papers authored by Felipe C. Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Felipe C. Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Felipe C. Ribeiro. 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 Felipe C. Ribeiro. The network helps show where Felipe C. Ribeiro may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013141
2 2016112
3 201871
4 201762
5 202054
6 202345
7 202218
8 202117
9 202311
10 20243
11 20241
12 20221
13 20231
14 20250

About Felipe C. Ribeiro

Felipe C. Ribeiro is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology and Biological Psychiatry, having authored 14 papers that have together received 537 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Tryptophan and brain disorders (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Mitochondrial Function and Pathology (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (71 citations), Neurology (110 citations), Physiology (327 citations), Behavioral Neuroscience (23 citations) and Cellular and Molecular Neuroscience (105 citations). Felipe C. Ribeiro has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Sérgio T. Ferreira, Fernanda G. De Felice, Mychael V. Lourenco, Helen M. Melo, José Henrique Ledo, Julia R. Clarke, Cláudia P. Figueiredo, Rudimar Luiz Frozza, William L. Klein and Jason Clarke. Their work appears in journals such as Alzheimer s & Dementia, Journal of Alzheimer s Disease, Journal of Neuroscience, Aging Cell and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.

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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