Carlos Pasqualucci

1.0k total citations · 1 hit paper
5 papers, 681 citations indexed

About

Carlos Pasqualucci is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Carlos Pasqualucci has authored 5 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Neurology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Carlos Pasqualucci's work include Genetic Neurodegenerative Diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurological disorders and treatments (1 paper). Carlos Pasqualucci is often cited by papers focused on Genetic Neurodegenerative Diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurological disorders and treatments (1 paper). Carlos Pasqualucci collaborates with scholars based in Brazil, United States and Netherlands. Carlos Pasqualucci's co-authors include Renata Elaine Paraízo Leite, Wilfred F.A. den Dunnen, Mari Cleide Sogayar, Paul D. Wes, Paula R. Sola, Erik Boddeke, Jon D. Laman, Antônio Marcondes Lerário, Bart J. L. Eggen and Thomas Möller and has published in prestigious journals such as Nature Neuroscience, Brain and Molecular Neurobiology.

In The Last Decade

Carlos Pasqualucci

5 papers receiving 672 citations

Hit Papers

Transcriptomic analysis of purified human cortical microg... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers

Carlos Pasqualucci
Comparison fields: 5 of 69
  • Neurology 463
  • Immunology 230
  • Physiology 222
  • Molecular Biology 167
  • Cellular and Molecular Neuroscience 111
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Citations per field, relative to Carlos Pasqualucci
Carlos Pasqualucci · 1×
Citations per year, relative to Carlos Pasqualucci
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Countries citing papers authored by Carlos Pasqualucci

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Pasqualucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Pasqualucci

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Pasqualucci. A scholar is included among the top collaborators of Carlos Pasqualucci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos Pasqualucci. Carlos Pasqualucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 1
2 9
3 11
4
Transcriptomic analysis of purified human cortical microglia reveals age-associated changes breakdown →
510
5 150

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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2026