Fabio D’Atri
Impact in
- Neurology top 2%
- Barrier Structure and Function Studies
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Caveolin-1 and cellular processes
- Cellular Mechanics and Interactions
Papers in ⓘ
-
- Barrier Structure and Function Studies 6
- Neurological diseases and metabolism 1
- Co-authors
- Sandra Citi (8 shared papers)Eva Hammar (2 shared papers)Michelangelo Cordenonsi (2 shared papers)David Parry (2 shared papers)Saima Aijaz (1 shared paper)Karl Matter (1 shared paper)María S. Balda (1 shared paper)David Shore (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Journal of Structural Biology (1 paper)Molecular Cancer Research (1 paper)European Journal of Biochemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Fabio D’Atri
10 papers receiving 906 citations
Peers
Comparison fields: 5 of 89
- Neurology 511
- Cell Biology 247
- Molecular Biology 616
- Cancer Research 112
- Applied Microbiology and Biotechnology 14
Countries citing papers authored by Fabio D’Atri
This map shows the geographic impact of Fabio D’Atri'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 Fabio D’Atri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio D’Atri more than expected).
Fields of papers citing papers by Fabio D’Atri
This network shows the impact of papers produced by Fabio D’Atri. 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 Fabio D’Atri. The network helps show where Fabio D’Atri may publish in the future.
Co-authors
The 17 scholars most cited alongside Fabio D’Atri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 229 | |
| 2 | 2005 | 173 | |
| 3 | 2004 | 126 | |
| 4 | 2002 | 92 | |
| 5 | 2001 | 67 | |
| 6 | 1999 | 65 | |
| 7 | 2002 | 58 | |
| 8 | 1997 | 55 | |
| 9 | 2000 | 28 | |
| 10 | 2019 | 21 |
About Fabio D’Atri
Fabio D’Atri is a scholar working on Neurology, Applied Microbiology and Biotechnology, Geriatrics and Gerontology, Cell Biology and Molecular Biology, having authored 10 papers that have together received 914 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (6 papers), Connexins and lens biology (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Caveolin-1 and cellular processes (2 papers), Machine Learning in Bioinformatics (1 paper), Neurological diseases and metabolism (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Neurology (511 citations), Cell Biology (247 citations), Molecular Biology (616 citations), Cancer Research (112 citations) and Applied Microbiology and Biotechnology (14 citations). Fabio D’Atri has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Sandra Citi, Eva Hammar, Michelangelo Cordenonsi, David Parry, Saima Aijaz, Karl Matter, María S. Balda, David Shore, John Kendrick‐Jones and Laurent Guillemot. Their work appears in journals such as The Journal of Cell Biology, Journal of Structural Biology, Molecular Cancer Research, European Journal of Biochemistry and Journal of Biological Chemistry.
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.