Leda Menescal-de-Oliveira
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Behavioral Neuroscience top 5%
- Co-authors
- Christie Ramos Andrade Leite‐PanissiAnette HoffmannNorberto Cysne CoimbraLetícia OliveiraAugusto BarbosaCleonísio Leite RodriguesAna Luisa B. TerzianJosé Alexandre S. Crippa
- Topics
- Pain Mechanisms and Treatments (21 papers)Neuroscience and Neuropharmacology Research (17 papers)Neuropeptides and Animal Physiology (11 papers)
- Journals
- PLoS ONEBrain ResearchLife Sciences
In The Last Decade
Leda Menescal-de-Oliveira
47 papers receiving 829 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 454
- Physiology 325
- Cognitive Neuroscience 289
- Social Psychology 194
- Behavioral Neuroscience 135
Countries citing papers authored by Leda Menescal-de-Oliveira
This map shows the geographic impact of Leda Menescal-de-Oliveira'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 Leda Menescal-de-Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leda Menescal-de-Oliveira more than expected).
Fields of papers citing papers by Leda Menescal-de-Oliveira
This network shows the impact of papers produced by Leda Menescal-de-Oliveira. 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 Leda Menescal-de-Oliveira. The network helps show where Leda Menescal-de-Oliveira may publish in the future.
Co-authorship network of co-authors of Leda Menescal-de-Oliveira
This figure shows the co-authorship network connecting the top 25 collaborators of Leda Menescal-de-Oliveira. A scholar is included among the top collaborators of Leda Menescal-de-Oliveira 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 Leda Menescal-de-Oliveira. Leda Menescal-de-Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 15 | |
| 9 | 45 | |
| 10 | 19 | |
| 11 | 31 | |
| 12 | 22 | |
| 13 | 20 | |
| 14 | 60 | |
| 15 | 13 | |
| 16 | 71 | |
| 17 | 27 | |
| 18 | 3 | |
| 19 | 47 | |
| 20 | Origin of the telencephalic spindels of the toad bufo paracnemis | 1 |
About Leda Menescal-de-Oliveira
Leda Menescal-de-Oliveira is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 47 papers that have together received 845 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuroscience and Neuropharmacology Research (17 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Behavioral Neuroscience (135 citations), Cellular and Molecular Neuroscience (454 citations) and Cognitive Neuroscience (289 citations). Leda Menescal-de-Oliveira has collaborated with scholars based in Brazil, Pakistan and Ireland. Frequent co-authors include Christie Ramos Andrade Leite‐Panissi, Anette Hoffmann, Norberto Cysne Coimbra, Letícia Oliveira, Augusto Barbosa, Cleonísio Leite Rodrigues, Ana Luisa B. Terzian, José Alexandre S. Crippa, Tayllon dos Anjos‐Garcia and Luana Fischer. Their work appears in journals such as PLoS ONE, Brain Research and Life 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.