Anna Vulpetti
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmaceutical Science top 1%
- Fluorine in Organic Chemistry
Papers in
-
- Asymmetric Synthesis and Catalysis 8
- Synthetic Organic Chemistry Methods 7
-
- Computational Drug Discovery Methods 21
- Co-authors
- Claudio Dalvit (21 shared papers)Tuomo Kalliokoski (6 shared papers)Christian Krämer (3 shared papers)Peter Gedeck (2 shared papers)Marina Belloni Veronesi (5 shared papers)Paolo Pevarello (8 shared papers)Francesca Milletti (3 shared papers)Cesare Gennari (14 shared papers)
- Journals
- Journal of Medicinal Chemistry (14 papers)ChemMedChem (7 papers)Tetrahedron (6 papers)Journal of Chemical Information and Modeling (4 papers)ACS Medicinal Chemistry Letters (4 papers)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Anna Vulpetti
84 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 132
- Computational Theory and Mathematics 1.1k
- Pharmaceutical Science 365
- Organic Chemistry 1.2k
- Molecular Biology 2.4k
- Spectroscopy 475
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-authors
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
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 402 | |
| 2 | 2003 | 291 | |
| 3 | 2013 | 244 | |
| 4 | 2012 | 186 | |
| 5 | 2014 | 172 | |
| 6 | 2004 | 153 | |
| 7 | 2018 | 149 | |
| 8 | 2020 | 142 | |
| 9 | 2005 | 127 | |
| 10 | 2009 | 121 | |
| 11 | 2012 | 113 | |
| 12 | 2009 | 111 | |
| 13 | 2004 | 107 | |
| 14 | 2005 | 101 | |
| 15 | 2010 | 92 | |
| 16 | 2010 | 89 | |
| 17 | 2004 | 88 | |
| 18 | 2016 | 83 | |
| 19 | 2012 | 75 | |
| 20 | 2010 | 69 |
About Anna Vulpetti
Anna Vulpetti is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Oncology and Pharmaceutical Science, having authored 85 papers that have together received 4.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Chemical Synthesis and Analysis (18 papers), Protein Structure and Dynamics (15 papers), Cancer-related Molecular Pathways (11 papers), Fluorine in Organic Chemistry (10 papers), Asymmetric Synthesis and Catalysis (8 papers), Analytical Chemistry and Chromatography (7 papers) and Synthetic Organic Chemistry Methods (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Pharmaceutical Science (365 citations), Organic Chemistry (1.2k citations), Molecular Biology (2.4k citations) and Spectroscopy (475 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 Belloni Veronesi, Paolo Pevarello, Francesca Milletti, Cesare Gennari, M. Sundström and Marco Tatò. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Tetrahedron, Journal of Chemical Information and Modeling and ACS Medicinal Chemistry Letters.
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.