Gianluca Degliesposti
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Infectious Diseases top 10%
- Organic Chemistry top 10%
- Co-authors
- Giulio RastelliMiriam SgobbaAlberto Del RíoMark SkehelLeonid A. SazanovKarol FiedorczukJames A. LettsKarol Kaszuba
- Topics
- Computational Drug Discovery Methods (6 papers)Enzyme Structure and Function (6 papers)Protein Structure and Dynamics (5 papers)
- Journals
- NatureScienceNucleic Acids Research
- Partner nations
- United KingdomItalySpain
In The Last Decade
Gianluca Degliesposti
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.6k
- Computational Theory and Mathematics 411
- Materials Chemistry 188
- Infectious Diseases 165
- Organic Chemistry 158
Countries citing papers authored by Gianluca Degliesposti
This map shows the geographic impact of Gianluca Degliesposti'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 Gianluca Degliesposti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianluca Degliesposti more than expected).
Fields of papers citing papers by Gianluca Degliesposti
This network shows the impact of papers produced by Gianluca Degliesposti. 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 Gianluca Degliesposti. The network helps show where Gianluca Degliesposti may publish in the future.
Co-authorship network of co-authors of Gianluca Degliesposti
This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Degliesposti. A scholar is included among the top collaborators of Gianluca Degliesposti 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 Gianluca Degliesposti. Gianluca Degliesposti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 30 | |
| 4 | 14 | |
| 5 | 24 | |
| 6 | 37 | |
| 7 | 28 | |
| 8 | 82 | |
| 9 | 64 | |
| 10 | 53 | |
| 11 | 12 | |
| 12 | Atomic structure of the entire mammalian mitochondrial complex Ibreakdown → | 396 |
| 13 | 10 | |
| 14 | 28 | |
| 15 | 94 | |
| 16 | 28 | |
| 17 | Fast and accurate predictions of binding free energies using MM‐PBSA and MM‐GBSAbreakdown → | 651 |
| 18 | 32 | |
| 19 | 23 | |
| 20 | 86 |
About Gianluca Degliesposti
Gianluca Degliesposti is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cell Biology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Enzyme Structure and Function (6 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Structural Biology (39 citations), Computational Theory and Mathematics (411 citations) and Molecular Biology (1.6k citations). Gianluca Degliesposti has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Giulio Rastelli, Miriam Sgobba, Alberto Del Río, Mark Skehel, Leonid A. Sazanov, Karol Fiedorczuk, James A. Letts, Karol Kaszuba, Anna María Ferrari and Óscar Llorca. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.