Alessio Ciulli

297 total papers · 13.7k total citations
133 papers, 8.7k citations indexed

About

Alessio Ciulli is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Alessio Ciulli has authored 133 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 42 papers in Oncology and 28 papers in Hematology. Recurrent topics in Alessio Ciulli's work include Protein Degradation and Inhibitors (91 papers), Ubiquitin and proteasome pathways (80 papers) and Peptidase Inhibition and Analysis (36 papers). Alessio Ciulli is often cited by papers focused on Protein Degradation and Inhibitors (91 papers), Ubiquitin and proteasome pathways (80 papers) and Peptidase Inhibition and Analysis (36 papers). Alessio Ciulli collaborates with scholars based in United Kingdom, United States and Italy. Alessio Ciulli's co-authors include Kwok-Ho Chan, Michael Zengerle, Andrea Testa, Scott J. Hughes, Morgan S. Gadd, Xavier Lucas, Chris Abell, Inge Van Molle, Chiara Maniaci and Teresa A.F. Cardote and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Alessio Ciulli

131 papers receiving 8.5k citations

Hit Papers

Structural basis of PROTA... 2015 2026 2018 2022 2017 2015 2020 2021 2025 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Alessio Ciulli 8.0k 2.9k 1.8k 650 462 133 8.7k
P. Filippakopoulos 8.2k 1.0× 1.6k 0.5× 2.4k 1.3× 961 1.5× 435 0.9× 86 9.7k
Jeanne A. Stuckey 7.1k 0.9× 2.0k 0.7× 689 0.4× 1.8k 2.7× 830 1.8× 142 9.9k
Thomas Meyer 3.7k 0.5× 2.1k 0.8× 1.5k 0.8× 1.2k 1.9× 278 0.6× 137 7.9k
Pascal Furet 5.6k 0.7× 2.4k 0.8× 1.1k 0.6× 2.0k 3.1× 587 1.3× 125 8.6k
Chao‐Yie Yang 5.7k 0.7× 1.9k 0.7× 785 0.4× 1.0k 1.6× 1.1k 2.5× 105 7.1k
O. Fedorov 4.4k 0.5× 831 0.3× 1.2k 0.6× 730 1.1× 463 1.0× 56 5.4k
Keiryn L. Bennett 5.8k 0.7× 1.1k 0.4× 933 0.5× 381 0.6× 255 0.6× 120 9.4k
Paul W. Manley 3.4k 0.4× 2.0k 0.7× 5.9k 3.2× 1.2k 1.9× 316 0.7× 153 10.6k
Peter Atadja 9.5k 1.2× 2.6k 0.9× 1.8k 1.0× 469 0.7× 120 0.3× 150 11.2k
Tinghu Zhang 5.3k 0.7× 2.2k 0.8× 715 0.4× 786 1.2× 220 0.5× 81 6.6k

Countries citing papers authored by Alessio Ciulli

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Ciulli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Ciulli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Ciulli. A scholar is included among the top collaborators of Alessio Ciulli 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 Alessio Ciulli. Alessio Ciulli 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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