Luca Bravi

1.1k total citations · 1 hit paper
9 papers, 847 citations indexed

About

Luca Bravi is a scholar working on Neurology, Molecular Biology and Cell Biology. According to data from OpenAlex, Luca Bravi has authored 9 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Luca Bravi's work include Vascular Malformations Diagnosis and Treatment (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). Luca Bravi is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). Luca Bravi collaborates with scholars based in Italy, Sweden and Germany. Luca Bravi's co-authors include Elisabetta Dejana, Maria Grazia Lampugnani, Monica Corada, Noemi Rudini, Roberto Cuttano, Costanza Giampietro, Luigi Maddaluno, Eleanna Papa, Luca Ferrarini and Elisabeth Tournier‐Lasserve and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Luca Bravi

9 papers receiving 846 citations

Hit Papers

EndMT contributes to the onset and progression of cerebra... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Bravi Italy 8 408 325 109 71 65 9 847
Roberto Cuttano Italy 10 344 0.8× 361 1.1× 61 0.6× 142 2.0× 54 0.8× 17 810
Eleanna Papa Switzerland 4 247 0.6× 270 0.8× 53 0.5× 67 0.9× 96 1.5× 6 624
Lauren M. Goddard United States 8 204 0.5× 396 1.2× 163 1.5× 62 0.9× 31 0.5× 9 868
Mei Chen United States 9 230 0.6× 468 1.4× 164 1.5× 56 0.8× 25 0.4× 12 811
Shantel Weinsheimer United States 15 339 0.8× 165 0.5× 72 0.7× 50 0.7× 31 0.5× 28 701
Fei‐Yu Han Sweden 8 362 0.9× 263 0.8× 73 0.7× 40 0.6× 19 0.3× 11 654
He Lv China 17 263 0.6× 396 1.2× 74 0.7× 19 0.3× 92 1.4× 68 850
Magali Fernandez United States 8 122 0.3× 612 1.9× 46 0.4× 185 2.6× 36 0.6× 9 863
Peter Dirks Canada 15 424 1.0× 295 0.9× 57 0.5× 73 1.0× 13 0.2× 31 935
Anita Olofsson Sweden 10 152 0.4× 382 1.2× 35 0.3× 107 1.5× 25 0.4× 10 615

Countries citing papers authored by Luca Bravi

Since Specialization
Citations

This map shows the geographic impact of Luca Bravi'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 Luca Bravi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Bravi more than expected).

Fields of papers citing papers by Luca Bravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Bravi. 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 Luca Bravi. The network helps show where Luca Bravi may publish in the future.

Co-authorship network of co-authors of Luca Bravi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Bravi. A scholar is included among the top collaborators of Luca Bravi 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 Luca Bravi. Luca Bravi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bravi, Luca, Matteo Malinverno, Federica Pisati, et al.. (2016). Endothelial Cells Lining Sporadic Cerebral Cavernous Malformation Cavernomas Undergo Endothelial-to-Mesenchymal Transition. Stroke. 47(3). 886–890. 52 indexed citations
2.
Giampietro, Costanza, Andrea Disanza, Luca Bravi, et al.. (2016). The actin-binding protein EPS8 binds VE-cadherin and modulates YAP localization and signaling. The Journal of General Physiology. 147(2). 1472OIA9–1472OIA9. 1 indexed citations
3.
Cuttano, Roberto, Noemi Rudini, Luca Bravi, et al.. (2015). KLF 4 is a key determinant in the development and progression of cerebral cavernous malformations. EMBO Molecular Medicine. 8(1). 6–24. 132 indexed citations
4.
Marchi, Saverio, Mariangela Corricelli, Eliana Trapani, et al.. (2015). Defective autophagy is a key feature of cerebral cavernous malformations. EMBO Molecular Medicine. 7(11). 1403–1417. 101 indexed citations
5.
Lampugnani, Maria Grazia, Luca Bravi, & Elisabetta Dejana. (2015). The role of microvascular endothelial WNT signaling the formation of the blood brain barrier. SpringerPlus. 4(S1). L47–L47. 20 indexed citations
6.
Giampietro, Costanza, Andrea Disanza, Luca Bravi, et al.. (2015). The actin-binding protein EPS8 binds VE-cadherin and modulates YAP localization and signaling. The Journal of Cell Biology. 211(6). 1177–1192. 56 indexed citations
7.
Bravi, Luca, Noemi Rudini, Roberto Cuttano, et al.. (2015). Sulindac metabolites decrease cerebrovascular malformations in CCM3 -knockout mice. Proceedings of the National Academy of Sciences. 112(27). 8421–8426. 87 indexed citations
8.
Bravi, Luca, Elisabetta Dejana, & Maria Grazia Lampugnani. (2014). VE-cadherin at a glance. Cell and Tissue Research. 355(3). 515–522. 30 indexed citations
9.
Maddaluno, Luigi, Noemi Rudini, Roberto Cuttano, et al.. (2013). EndMT contributes to the onset and progression of cerebral cavernous malformations. Nature. 498(7455). 492–496. 368 indexed citations breakdown →

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.

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