Anna Vulpetti
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 21
- Pharmaceutical Science top 1%
- Fluorine in Organic Chemistry 10
- Organic Chemistry top 2%
- Asymmetric Synthesis and Catalysis 8
- Synthetic Organic Chemistry Methods 7
- Molecular Biology top 5%
- Chemical Synthesis and Analysis 18
- Protein Structure and Dynamics 16
- Metabolomics and Mass Spectrometry Studies 6
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 7
- Co-authors
- Claudio DalvitTuomo KalliokoskiChristian KrämerPeter GedeckMarina VeronesiPaolo PevarelloFrancesca MillettiCesare Gennari
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Anna Vulpetti
71 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 958
- Pharmaceutical Science 332
- Organic Chemistry 930
- Molecular Biology 1.9k
- Spectroscopy 424
Countries citing papers authored by Anna Vulpetti
This map shows the geographic impact of Anna Vulpetti'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 Anna Vulpetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vulpetti more than expected).
Fields of papers citing papers by Anna Vulpetti
This network shows the impact of papers produced by Anna Vulpetti. 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 Anna Vulpetti. The network helps show where Anna Vulpetti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Vulpetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 7 | |
| 3 | 2020 | 23 | |
| 4 | 2019 | 16 | |
| 5 | 2014 | 161 | |
| 6 | 2013 | 48 | |
| 7 | 2013 | 227 | |
| 8 | 2012 | 108 | |
| 9 | 2012 | 62 | |
| 10 | 2011 | 5 | |
| 11 | 2010 | 28 | |
| 12 | 2010 | 88 | |
| 13 | 2010 | 80 | |
| 14 | 2005 | 46 | |
| 15 | 2005 | 15 | |
| 16 | 2005 | 15 | |
| 17 | 2003 | 265 | |
| 18 | 2000 | 365 | |
| 19 | 1997 | 31 | |
| 20 | 1994 | 10 |
About Anna Vulpetti
Anna Vulpetti is a scholar working on Pharmaceutical Science, Computational Theory and Mathematics, Organic Chemistry, Spectroscopy and Molecular Biology, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Chemical Synthesis and Analysis (18 papers), Protein Structure and Dynamics (16 papers), Fluorine in Organic Chemistry (10 papers), Asymmetric Synthesis and Catalysis (8 papers), Analytical Chemistry and Chromatography (7 papers), Synthetic Organic Chemistry Methods (7 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Computational Theory and Mathematics (958 citations), Pharmaceutical Science (332 citations), Organic Chemistry (930 citations), Molecular Biology (1.9k citations) and Spectroscopy (424 citations). Anna Vulpetti has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Claudio Dalvit, Tuomo Kalliokoski, Christian Krämer, Peter Gedeck, Marina Veronesi, Paolo Pevarello, Francesca Milletti, Cesare Gennari, M. Sundström and Marco Tatò. Their work appears in journals such as Tetrahedron, ChemMedChem, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling and Chemistry - A European Journal.
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.