Roberto Frussa‐Filho
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Behavioral Neuroscience top 0.5%
- Co-authors
- Regina H. SilvaVanessa C. Abı́lioCamilla L. PattiMônica L. AndersenSonia R. KamedaJoão Palermo‐NetoD.F. FukushiroMariana Bendlin Calzavara
- Topics
- Neurotransmitter Receptor Influence on Behavior (72 papers)Neuroscience and Neuropharmacology Research (56 papers)Memory and Neural Mechanisms (47 papers)
- Partner nations
- BrazilUnited StatesCzechia
In The Last Decade
Roberto Frussa‐Filho
156 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 2.3k
- Cognitive Neuroscience 1.6k
- Molecular Biology 984
- Physiology 641
- Behavioral Neuroscience 586
Countries citing papers authored by Roberto Frussa‐Filho
This map shows the geographic impact of Roberto Frussa‐Filho'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 Roberto Frussa‐Filho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Frussa‐Filho more than expected).
Fields of papers citing papers by Roberto Frussa‐Filho
This network shows the impact of papers produced by Roberto Frussa‐Filho. 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 Roberto Frussa‐Filho. The network helps show where Roberto Frussa‐Filho may publish in the future.
Co-authorship network of co-authors of Roberto Frussa‐Filho
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Frussa‐Filho. A scholar is included among the top collaborators of Roberto Frussa‐Filho 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 Roberto Frussa‐Filho. Roberto Frussa‐Filho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 68 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 16 | |
| 7 | 36 | |
| 8 | 26 | |
| 9 | Zolpidem impairs non-associative memory in mice | 3 |
| 10 | 18 | |
| 11 | 36 | |
| 12 | 22 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | 49 | |
| 16 | 66 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 13 | |
| 20 | 20 |
About Roberto Frussa‐Filho
Roberto Frussa‐Filho is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 158 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (72 papers), Neuroscience and Neuropharmacology Research (56 papers) and Memory and Neural Mechanisms (47 papers). The work is most often cited by research in Behavioral Neuroscience (586 citations), Cellular and Molecular Neuroscience (2.3k citations) and Biological Psychiatry (204 citations). Roberto Frussa‐Filho has collaborated with scholars based in Brazil, United States and Czechia. Frequent co-authors include Regina H. Silva, Vanessa C. Abı́lio, Camilla L. Patti, Mônica L. Andersen, Sonia R. Kameda, João Palermo‐Neto, D.F. Fukushiro, Mariana Bendlin Calzavara, R. de A. Ribeiro and Sérgio Tufik. Their work appears in journals such as Brain Research, Free Radical Biology and Medicine 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.