Andrea Faedo
- Molecular Biology top 10%
- Developmental Neuroscience top 1%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Cancer Research
- Co-authors
- John L.R. RubensteinYoulin RuanUgo BorelloAlessandro BulfoneStephen N. SansomJames SmithFrederick J. LiveseyVeronica van Heyningen
- Topics
- Pluripotent Stem Cells Research (8 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)CRISPR and Genetic Engineering (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Neuroscience
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Andrea Faedo
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 948
- Developmental Neuroscience 398
- Cellular and Molecular Neuroscience 394
- Genetics 189
- Cancer Research 135
Countries citing papers authored by Andrea Faedo
This map shows the geographic impact of Andrea Faedo'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 Andrea Faedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Faedo more than expected).
Fields of papers citing papers by Andrea Faedo
This network shows the impact of papers produced by Andrea Faedo. 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 Andrea Faedo. The network helps show where Andrea Faedo may publish in the future.
Co-authorship network of co-authors of Andrea Faedo
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Faedo. A scholar is included among the top collaborators of Andrea Faedo 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 Andrea Faedo. Andrea Faedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 122 | |
| 4 | 16 | |
| 5 | 29 | |
| 6 | 14 | |
| 7 | Stochastically timed predicate-based communication primitives for autonomic computing - Full Paper | 1 |
| 8 | 10 | |
| 9 | 56 | |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 131 | |
| 13 | 109 | |
| 14 | 310 | |
| 15 | 110 | |
| 16 | 187 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | 19 | |
| 20 | 61 |
About Andrea Faedo
Andrea Faedo is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Developmental Neuroscience (398 citations), Cellular and Molecular Neuroscience (394 citations) and Molecular Biology (948 citations). Andrea Faedo has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include John L.R. Rubenstein, Youlin Ruan, Ugo Borello, Alessandro Bulfone, Stephen N. Sansom, James Smith, Frederick J. Livesey, Veronica van Heyningen, Dirk‐Jan Kleinjan and Elena Cattaneo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.
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.