Regina H. Silva
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Neurology top 2%
- Behavioral Neuroscience top 1%
- Physiology top 5%
- Co-authors
- Roberto Frussa‐FilhoAlessandra Mussi RibeiroVanessa C. Abı́lioJosé Ronaldo dos SantosSonia R. KamedaMariana Bendlin CalzavaraSérgio TufikAnderson H.F.F. Leão
- Topics
- Neuroscience and Neuropharmacology Research (44 papers)Memory and Neural Mechanisms (35 papers)Parkinson's Disease Mechanisms and Treatments (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchAnnals of the New York Academy of Sciences
- Partner nations
- BrazilUnited StatesSpain
In The Last Decade
Regina H. Silva
119 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 1.4k
- Cognitive Neuroscience 1.2k
- Neurology 590
- Behavioral Neuroscience 503
- Physiology 476
Countries citing papers authored by Regina H. Silva
This map shows the geographic impact of Regina H. Silva'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 Regina H. Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina H. Silva more than expected).
Fields of papers citing papers by Regina H. Silva
This network shows the impact of papers produced by Regina H. Silva. 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 Regina H. Silva. The network helps show where Regina H. Silva may publish in the future.
Co-authorship network of co-authors of Regina H. Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Regina H. Silva. A scholar is included among the top collaborators of Regina H. Silva 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 Regina H. Silva. Regina H. Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 24 | |
| 9 | 27 | |
| 10 | 39 | |
| 11 | 15 | |
| 12 | 25 | |
| 13 | Attenuation of motor deficits by hydroethanolic extract of Poincianella pyramidalis in a Parkinson’s disease model | 4 |
| 14 | 51 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 113 | |
| 18 | 24 | |
| 19 | 13 | |
| 20 | 1 |
About Regina H. Silva
Regina H. Silva is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 125 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Memory and Neural Mechanisms (35 papers) and Parkinson's Disease Mechanisms and Treatments (32 papers). The work is most often cited by research in Behavioral Neuroscience (503 citations), Cellular and Molecular Neuroscience (1.4k citations) and Biological Psychiatry (154 citations). Regina H. Silva has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Roberto Frussa‐Filho, Alessandra Mussi Ribeiro, Vanessa C. Abı́lio, José Ronaldo dos Santos, Sonia R. Kameda, Mariana Bendlin Calzavara, Sérgio Tufik, Anderson H.F.F. Leão, R. de A. Ribeiro and Flávio Freitas Barbosa. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Annals of the New York Academy of Sciences.
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.