Luca Bravi

12 total papers · 1.1k total citations
9 papers, 839 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 839 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), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 papers). Luca Bravi is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Intracranial Aneurysms: Treatment and Complications (4 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, Costanza Giampietro, Roberto Cuttano, Noemi Rudini, Luigi Maddaluno, Eleanna Papa, Elisabeth Tournier‐Lasserve and Luca Ferrarini 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 838 citations

Hit Papers

EndMT contributes to the ... 2013 2026 2017 2021 2013 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Luca Bravi 404 320 107 72 62 9 839
Roberto Cuttano 340 0.8× 357 1.1× 61 0.6× 141 2.0× 86 1.4× 17 800
Lauren M. Goddard 201 0.5× 391 1.2× 163 1.5× 62 0.9× 111 1.8× 9 861
Mei Chen 227 0.6× 464 1.4× 164 1.5× 56 0.8× 55 0.9× 12 806
Hidenobu Kanda 156 0.4× 453 1.4× 117 1.1× 64 0.9× 30 0.5× 10 857
Arne Bartol 139 0.3× 379 1.2× 80 0.7× 101 1.4× 36 0.6× 10 767
Benjamin Fontaine 441 1.1× 399 1.2× 120 1.1× 18 0.3× 140 2.3× 11 917
Catherine Sweeney 107 0.3× 491 1.5× 79 0.7× 114 1.6× 112 1.8× 11 814
Magali Fernandez 122 0.3× 613 1.9× 46 0.4× 185 2.6× 63 1.0× 9 863
Tanya L. Henshall 91 0.2× 405 1.3× 93 0.9× 32 0.4× 29 0.5× 10 737
Deanna M. Patmore 86 0.2× 617 1.9× 62 0.6× 98 1.4× 66 1.1× 8 846

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

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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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