Alessandro Giuliani
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.5%
- Cancer Research top 2%
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Joseph P. ZbilutRomualdo BenigniCharles L. WebberLuisa Di PaolaAlfredo ColosimoC. L. WebberLuciana GiardinoLaura Calzà
- Topics
- Protein Structure and Dynamics (63 papers)Computational Drug Discovery Methods (61 papers)Bioinformatics and Genomic Networks (50 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
Alessandro Giuliani
406 papers receiving 9.3k citations
Peers
Comparison fields: 5 of 213
- Molecular Biology 4.1k
- Computational Theory and Mathematics 989
- Cancer Research 883
- Cognitive Neuroscience 568
- Statistical and Nonlinear Physics 560
Countries citing papers authored by Alessandro Giuliani
This map shows the geographic impact of Alessandro Giuliani'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 Alessandro Giuliani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Giuliani more than expected).
Fields of papers citing papers by Alessandro Giuliani
This network shows the impact of papers produced by Alessandro Giuliani. 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 Alessandro Giuliani. The network helps show where Alessandro Giuliani may publish in the future.
Co-authorship network of co-authors of Alessandro Giuliani
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Giuliani. A scholar is included among the top collaborators of Alessandro Giuliani 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 Alessandro Giuliani. Alessandro Giuliani 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 44 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 23 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 26 | |
| 15 | 24 | |
| 16 | 26 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 11 | |
| 20 | 123 |
About Alessandro Giuliani
Alessandro Giuliani is a scholar working on Computational Theory and Mathematics, Molecular Biology and Chemical Health and Safety, having authored 424 papers that have together received 9.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (63 papers), Computational Drug Discovery Methods (61 papers) and Bioinformatics and Genomic Networks (50 papers). The work is most often cited by research in Computational Theory and Mathematics (989 citations), Molecular Biology (4.1k citations) and Cancer Research (883 citations). Alessandro Giuliani has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Joseph P. Zbilut, Romualdo Benigni, Charles L. Webber, Luisa Di Paola, Alfredo Colosimo, C. L. Webber, Luciana Giardino, Laura Calzà, Luigi Aloe and Gregorio Martı́nez-Sánchez. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.