Marina Veronesi
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 1%
- Spectroscopy top 2%
- Pollution top 5%
- Co-authors
- Claudio DalvitBrian J. StockmanAnna VulpettiAlbert StewartGianpaolo FogliattoPaolo PevarelloM. SundströmMaria M. Flocco
- Topics
- Protein Structure and Dynamics (8 papers)Cancer therapeutics and mechanisms (5 papers)Enzyme Structure and Function (5 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Marina Veronesi
41 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.4k
- Materials Chemistry 448
- Computational Theory and Mathematics 371
- Spectroscopy 351
- Pollution 305
Countries citing papers authored by Marina Veronesi
This map shows the geographic impact of Marina Veronesi'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 Marina Veronesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Veronesi more than expected).
Fields of papers citing papers by Marina Veronesi
This network shows the impact of papers produced by Marina Veronesi. 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 Marina Veronesi. The network helps show where Marina Veronesi may publish in the future.
Co-authorship network of co-authors of Marina Veronesi
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Veronesi. A scholar is included among the top collaborators of Marina Veronesi 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 Marina Veronesi. Marina Veronesi 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 52 | |
| 12 | 23 | |
| 13 | 30 | |
| 14 | 19 | |
| 15 | 10 | |
| 16 | 137 | |
| 17 | 54 | |
| 18 | 70 | |
| 19 | 406 | |
| 20 | 365 |
About Marina Veronesi
Marina Veronesi is a scholar working on Molecular Biology, Spectroscopy and Pharmacology, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Cancer therapeutics and mechanisms (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Pollution (305 citations), Industrial and Manufacturing Engineering (203 citations) and Computational Theory and Mathematics (371 citations). Marina Veronesi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Claudio Dalvit, Brian J. Stockman, Anna Vulpetti, Albert Stewart, Gianpaolo Fogliatto, Paolo Pevarello, M. Sundström, Maria M. Flocco, Marco Tatò and Nicola Mongelli. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition 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.