Isabella G. Olmo
- Molecular Biology
- Pharmacology top 2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Complementary and alternative medicine top 2%
- Co-authors
- Fabíola M. RibeiroTalita H. Ferreira‐VieiraFlávia Rodrigues da SilvaStephen S. G. FergusonVivian Vasconcelos CostaLuciene Bruno VieiraMauro Martins TeixeiraAlison Hamilton
- Topics
- Genetic Neurodegenerative Diseases (9 papers)Neuroscience and Neuropharmacology Research (8 papers)Mitochondrial Function and Pathology (6 papers)
- Partner nations
- BrazilCanadaUnited States
In The Last Decade
Isabella G. Olmo
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 569
- Pharmacology 524
- Physiology 421
- Cellular and Molecular Neuroscience 357
- Complementary and alternative medicine 216
Countries citing papers authored by Isabella G. Olmo
This map shows the geographic impact of Isabella G. Olmo'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 Isabella G. Olmo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabella G. Olmo more than expected).
Fields of papers citing papers by Isabella G. Olmo
This network shows the impact of papers produced by Isabella G. Olmo. 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 Isabella G. Olmo. The network helps show where Isabella G. Olmo may publish in the future.
Co-authorship network of co-authors of Isabella G. Olmo
This figure shows the co-authorship network connecting the top 25 collaborators of Isabella G. Olmo. A scholar is included among the top collaborators of Isabella G. Olmo 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 Isabella G. Olmo. Isabella G. Olmo 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 | 5 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 17 | |
| 7 | 84 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 65 | |
| 11 | 24 | |
| 12 | 4 | |
| 13 | 21 | |
| 14 | Alzheimer's disease: Targeting the Cholinergic Systembreakdown → | 1159 |
| 15 | 29 | |
| 16 | 44 | |
| 17 | 20 | |
| 18 | 46 |
About Isabella G. Olmo
Isabella G. Olmo is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Molecular Biology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Mitochondrial Function and Pathology (6 papers). The work is most often cited by research in Biological Psychiatry (101 citations), Pharmacology (524 citations) and Complementary and alternative medicine (216 citations). Isabella G. Olmo has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Fabíola M. Ribeiro, Talita H. Ferreira‐Vieira, Flávia Rodrigues da Silva, Stephen S. G. Ferguson, Vivian Vasconcelos Costa, Luciene Bruno Vieira, Mauro Martins Teixeira, Alison Hamilton, Sean P. Cregan and Jéssica M. de Souza. Their work appears in journals such as Nature Materials, Scientific Reports and Journal of Neurochemistry.
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.