Angelo Vedani
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Receptor Mechanisms and Signaling 13
- Protein Structure and Dynamics 7
- Chemical Synthesis and Analysis 7
- Glycosylation and Glycoproteins Research 6
-
- Computational Drug Discovery Methods 35
- Co-authors
- Max Dobler (23 shared papers)Markus A. Lill (15 shared papers)Martin Smieško (15 shared papers)Jack D. Dunitz (2 shared papers)Beat Ernst (15 shared papers)Peter Zbinden (7 shared papers)Daniel R. McMasters (6 shared papers)Morena Spreafico (10 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)Journal of the American Chemical Society (6 papers)Toxicology Letters (5 papers)ChemMedChem (4 papers)Bioorganic & Medicinal Chemistry (4 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Angelo Vedani
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 969
- Pharmacology 245
- Physical and Theoretical Chemistry 150
- Spectroscopy 275
- Molecular Biology 1.1k
Countries citing papers authored by Angelo Vedani
This map shows the geographic impact of Angelo Vedani'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 Angelo Vedani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Vedani more than expected).
Fields of papers citing papers by Angelo Vedani
This network shows the impact of papers produced by Angelo Vedani. 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 Angelo Vedani. The network helps show where Angelo Vedani may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Vedani, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 197 | |
| 2 | 2002 | 150 | |
| 3 | 1985 | 145 | |
| 4 | 2005 | 121 | |
| 5 | 2012 | 89 | |
| 6 | 2014 | 86 | |
| 7 | 1995 | 72 | |
| 8 | 2000 | 68 | |
| 9 | 2011 | 62 | |
| 10 | 2006 | 50 | |
| 11 | 2005 | 46 | |
| 12 | 2009 | 46 | |
| 13 | 1988 | 44 | |
| 14 | 2009 | 42 | |
| 15 | 1998 | 40 | |
| 16 | 2004 | 39 | |
| 17 | 2005 | 39 | |
| 18 | 1991 | 38 | |
| 19 | 1998 | 35 | |
| 20 | 2009 | 33 |
About Angelo Vedani
Angelo Vedani is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Pharmacology and Organic Chemistry, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Analytical Chemistry and Chromatography (17 papers), Receptor Mechanisms and Signaling (13 papers), Pharmacogenetics and Drug Metabolism (8 papers), Protein Structure and Dynamics (7 papers), Chemical Synthesis and Analysis (7 papers), Glycosylation and Glycoproteins Research (6 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Computational Theory and Mathematics (969 citations), Pharmacology (245 citations), Physical and Theoretical Chemistry (150 citations), Spectroscopy (275 citations) and Molecular Biology (1.1k citations). Angelo Vedani has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Max Dobler, Markus A. Lill, Martin Smieško, Jack D. Dunitz, Beat Ernst, Peter Zbinden, Daniel R. McMasters, Morena Spreafico, Gianluca Rossato and James P. Snyder. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Chemical Society, Toxicology Letters, ChemMedChem and Bioorganic & Medicinal Chemistry.
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.