João Vasconcelos
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology top 10%
- Endocrinology, Diabetes and Metabolism
- Epidemiology
- Co-authors
- Manuela LimaTeresa KayConceição BettencourtMafalda RaposoCristina SantosPatrı́cia MacielPaula CoutinhoNadiya Kazachkova
- Topics
- Genetic Neurodegenerative Diseases (19 papers)Mitochondrial Function and Pathology (18 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of NeurologyMovement Disorders
In The Last Decade
João Vasconcelos
28 papers receiving 289 citations
Peers
Comparison fields: 5 of 43
- Cellular and Molecular Neuroscience 246
- Molecular Biology 209
- Neurology 97
- Endocrinology, Diabetes and Metabolism 21
- Epidemiology 18
Countries citing papers authored by João Vasconcelos
This map shows the geographic impact of João Vasconcelos'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 João Vasconcelos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Vasconcelos more than expected).
Fields of papers citing papers by João Vasconcelos
This network shows the impact of papers produced by João Vasconcelos. 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 João Vasconcelos. The network helps show where João Vasconcelos may publish in the future.
Co-authorship network of co-authors of João Vasconcelos
This figure shows the co-authorship network connecting the top 25 collaborators of João Vasconcelos. A scholar is included among the top collaborators of João Vasconcelos 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 João Vasconcelos. João Vasconcelos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | 25 | |
| 9 | 22 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | Associação entre a classificação CEAP e alterações no Eco-doppler venoso dos membros inferiores | 0 |
| 16 | 17 | |
| 17 | 30 | |
| 18 | 25 | |
| 19 | 14 | |
| 20 | 5 |
About João Vasconcelos
João Vasconcelos is a scholar working on Cellular and Molecular Neuroscience, Internal Medicine and Neurology, having authored 30 papers that have together received 293 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (19 papers), Mitochondrial Function and Pathology (18 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Neurology (97 citations) and Aging (8 citations). João Vasconcelos has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include Manuela Lima, Teresa Kay, Conceição Bettencourt, Mafalda Raposo, Cristina Santos, Patrı́cia Maciel, Paula Coutinho, Nadiya Kazachkova, Amanda Ramos and Jácome Bruges‐Armas. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Movement Disorders.
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.