Fernando E. Padovan‐Neto
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Molecular Biology
- Physiology
- Neurology top 10%
- Co-authors
- Elaine Aparecida Del BelRita Raisman‐VozariMarcela Bermúdez EcheverryVítor TumasMišo MitkovskiMariza BortolanzaAnthony R. WestC.A. da-Silva
- Topics
- Parkinson's Disease Mechanisms and Treatments (18 papers)Neuroscience and Neuropharmacology Research (14 papers)Neurological disorders and treatments (10 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Fernando E. Padovan‐Neto
33 papers receiving 737 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 427
- Neurology 344
- Molecular Biology 202
- Physiology 150
- Neurology 113
Countries citing papers authored by Fernando E. Padovan‐Neto
This map shows the geographic impact of Fernando E. Padovan‐Neto'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 Fernando E. Padovan‐Neto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. Padovan‐Neto more than expected).
Fields of papers citing papers by Fernando E. Padovan‐Neto
This network shows the impact of papers produced by Fernando E. Padovan‐Neto. 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 Fernando E. Padovan‐Neto. The network helps show where Fernando E. Padovan‐Neto may publish in the future.
Co-authorship network of co-authors of Fernando E. Padovan‐Neto
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. Padovan‐Neto. A scholar is included among the top collaborators of Fernando E. Padovan‐Neto 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 Fernando E. Padovan‐Neto. Fernando E. Padovan‐Neto 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 43 | |
| 12 | 13 | |
| 13 | 41 | |
| 14 | 23 | |
| 15 | 22 | |
| 16 | 24 | |
| 17 | 39 | |
| 18 | 32 | |
| 19 | 71 | |
| 20 | 108 |
About Fernando E. Padovan‐Neto
Fernando E. Padovan‐Neto is a scholar working on Cellular and Molecular Neuroscience, Neurology and Sensory Systems, having authored 36 papers that have together received 740 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (18 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neurological disorders and treatments (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (427 citations), Neurology (344 citations) and Neurology (113 citations). Fernando E. Padovan‐Neto has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Elaine Aparecida Del Bel, Rita Raisman‐Vozari, Marcela Bermúdez Echeverry, Vítor Tumas, Mišo Mitkovski, Mariza Bortolanza, Anthony R. West, C.A. da-Silva, Márcio Lazzarini and Elaine Aparecida Del Bel. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Scientific Reports.
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.