Alessio Ciulli
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Hematology top 0.5%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Kwok-Ho ChanMichael ZengerleAndrea TestaScott J. HughesMorgan S. GaddXavier LucasChris AbellInge Van Molle
- Topics
- Protein Degradation and Inhibitors (92 papers)Ubiquitin and proteasome pathways (80 papers)Peptidase Inhibition and Analysis (36 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Alessio Ciulli
131 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 8.2k
- Oncology 2.9k
- Hematology 1.8k
- Organic Chemistry 658
- Computational Theory and Mathematics 463
Countries citing papers authored by Alessio Ciulli
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 25 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 63 | |
| 13 | 19 | |
| 14 | 172 | |
| 15 | 110 | |
| 16 | Structural basis of PROTAC cooperative recognition for selective protein degradationbreakdown → | 826 |
| 17 | 178 | |
| 18 | 81 | |
| 19 | 107 | |
| 20 | 8 |
About Alessio Ciulli
Alessio Ciulli is a scholar working on Hematology, Molecular Biology and Oncology, having authored 133 papers that have together received 8.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (92 papers), Ubiquitin and proteasome pathways (80 papers) and Peptidase Inhibition and Analysis (36 papers). The work is most often cited by research in Hematology (1.8k citations), Molecular Biology (8.2k citations) and Oncology (2.9k citations). Alessio Ciulli has collaborated with scholars based in United Kingdom, United States and Italy. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.