Gabriele Scalia
- Molecular Biology
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Communication top 10%
- Developmental Neuroscience top 10%
- Co-authors
- Barbara PerniciColin A. GrambowYi‐Pei LiWilliam H. GreenTommaso BiancalaniAviv RegevSung Min YangPaola Arlotta
- Topics
- Public Relations and Crisis Communication (5 papers)Geographic Information Systems Studies (4 papers)Single-cell and spatial transcriptomics (3 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaNature Biotechnology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Gabriele Scalia
14 papers receiving 501 citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 240
- Materials Chemistry 109
- Computational Theory and Mathematics 98
- Communication 50
- Developmental Neuroscience 49
Countries citing papers authored by Gabriele Scalia
This map shows the geographic impact of Gabriele Scalia'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 Gabriele Scalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Scalia more than expected).
Fields of papers citing papers by Gabriele Scalia
This network shows the impact of papers produced by Gabriele Scalia. 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 Gabriele Scalia. The network helps show where Gabriele Scalia may publish in the future.
Co-authorship network of co-authors of Gabriele Scalia
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Scalia. A scholar is included among the top collaborators of Gabriele Scalia 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 Gabriele Scalia. Gabriele Scalia 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 | 30 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | Molecular logic of cellular diversification in the mouse cerebral cortexbreakdown → | 204 |
| 6 | 15 | |
| 7 | 17 | |
| 8 | 144 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 49 | |
| 15 | Network-based content geolocation on social media for emergency management | 4 |
| 16 | 10 |
About Gabriele Scalia
Gabriele Scalia is a scholar working on Geography, Planning and Development, Communication and Transportation, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include Public Relations and Crisis Communication (5 papers), Geographic Information Systems Studies (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Developmental Neuroscience (49 citations), Communication (50 citations) and Geography, Planning and Development (35 citations). Gabriele Scalia has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Barbara Pernici, Colin A. Grambow, Yi‐Pei Li, William H. Green, Tommaso Biancalani, Aviv Regev, Sung Min Yang, Paola Arlotta, Payman Yadollahpour and Fei Chen. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.