Vanessa A. Morais

4.0k total citations
56 papers, 2.8k citations indexed

About

Vanessa A. Morais is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Vanessa A. Morais has authored 56 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 14 papers in Physiology and 11 papers in Neurology. Recurrent topics in Vanessa A. Morais's work include Mitochondrial Function and Pathology (17 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Alzheimer's disease research and treatments (11 papers). Vanessa A. Morais is often cited by papers focused on Mitochondrial Function and Pathology (17 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Alzheimer's disease research and treatments (11 papers). Vanessa A. Morais collaborates with scholars based in Portugal, Belgium and United States. Vanessa A. Morais's co-authors include Bart De Strooper, Patrik Verstreken, Dominik Haddad, Wim Mandemakers, Júlia Costa, Sven Vilain, Katleen Craessaerts, Liesbeth Aerts, Melissa Vos and Giovanni Esposito and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Vanessa A. Morais

54 papers receiving 2.7k citations

Peers

Vanessa A. Morais
Comparison fields: 5 of 115
  • Molecular Biology 1.7k
  • Neurology 762
  • Physiology 653
  • Epidemiology 612
  • Cellular and Molecular Neuroscience 441
Replace Peter Vangheluwe with:
Peter Vangheluwe Belgium
Mariana Pehar United States
Cristina Malagelada Spain
Jordi Magrané United States
Shavali Shaik United States
Takeshi Niki Japan
Juan Pablo Muñoz Spain
Brent J. Ryan United Kingdom
Steve Callaghan Canada
Ghazaleh Ashrafi United States
Peter Vangheluwe Belgium View profile →
Citations per field, relative to Vanessa A. Morais
Vanessa A. Morais · 1×
Citations per year, relative to Vanessa A. Morais
Vanessa A. Morais · 1×

Countries citing papers authored by Vanessa A. Morais

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa A. Morais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa A. Morais. 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 Vanessa A. Morais. The network helps show where Vanessa A. Morais may publish in the future.

Co-authorship network of co-authors of Vanessa A. Morais

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa A. Morais. A scholar is included among the top collaborators of Vanessa A. Morais 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 Vanessa A. Morais. Vanessa A. Morais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 2
4 6
5 2
6 23
7 5
8 16
9 69
10 278
11 62
12 64
13 38
14 289
15
Enteric neuronal function and colonic motility in PINK1-/- mice: A model for Parkinson's Disease
2
16 90
17 326
18 64
19 58
20 22

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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