Nuno Jorge Lamas
- Molecular Biology
- Developmental Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Neurology top 10%
- Neurology
- Co-authors
- Laurent RoybonHynek WichterleChristopher E. HendersonAlejandro Garcia-DiazJeffrey D. RothsteinEun Ju YangSerge PrzedborskiVernice Jackson‐Lewis
- Topics
- Pluripotent Stem Cells Research (6 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)CRISPR and Genetic Engineering (3 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- PortugalSwedenUnited States
In The Last Decade
Nuno Jorge Lamas
26 papers receiving 437 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 239
- Developmental Neuroscience 116
- Cellular and Molecular Neuroscience 112
- Neurology 91
- Neurology 77
Countries citing papers authored by Nuno Jorge Lamas
This map shows the geographic impact of Nuno Jorge Lamas'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 Nuno Jorge Lamas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nuno Jorge Lamas more than expected).
Fields of papers citing papers by Nuno Jorge Lamas
This network shows the impact of papers produced by Nuno Jorge Lamas. 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 Nuno Jorge Lamas. The network helps show where Nuno Jorge Lamas may publish in the future.
Co-authorship network of co-authors of Nuno Jorge Lamas
This figure shows the co-authorship network connecting the top 25 collaborators of Nuno Jorge Lamas. A scholar is included among the top collaborators of Nuno Jorge Lamas 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 Nuno Jorge Lamas. Nuno Jorge Lamas 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 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 30 | |
| 7 | 1 | |
| 8 | 36 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 49 | |
| 17 | 5 | |
| 18 | 158 | |
| 19 | 9 | |
| 20 | 11 |
About Nuno Jorge Lamas
Nuno Jorge Lamas is a scholar working on Microbiology, Developmental Neuroscience and Neurology, having authored 29 papers that have together received 442 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Developmental Neuroscience (116 citations), Neurology (91 citations) and Cellular and Molecular Neuroscience (112 citations). Nuno Jorge Lamas has collaborated with scholars based in Portugal, Sweden and United States. Frequent co-authors include Laurent Roybon, Hynek Wichterle, Christopher E. Henderson, Alejandro Garcia-Diaz, Jeffrey D. Rothstein, Eun Ju Yang, Serge Przedborski, Vernice Jackson‐Lewis, Rita Sattler and Bethany Johnson-Kerner. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.