Antonio Carrieri
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Pharmacology top 5%
- Computational Theory and Mathematics top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Angelo CarottiFilomena CorboAlessia CarocciCosimo AltomareAntonio RosatoCarlo FranchiniMaria PiginiAlessia Catalano
- Topics
- Computational Drug Discovery Methods (22 papers)Receptor Mechanisms and Signaling (20 papers)Cholinesterase and Neurodegenerative Diseases (15 papers)
In The Last Decade
Antonio Carrieri
93 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 827
- Organic Chemistry 744
- Pharmacology 354
- Computational Theory and Mathematics 284
- Cellular and Molecular Neuroscience 268
Countries citing papers authored by Antonio Carrieri
This map shows the geographic impact of Antonio Carrieri'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 Antonio Carrieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Carrieri more than expected).
Fields of papers citing papers by Antonio Carrieri
This network shows the impact of papers produced by Antonio Carrieri. 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 Antonio Carrieri. The network helps show where Antonio Carrieri may publish in the future.
Co-authorship network of co-authors of Antonio Carrieri
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Carrieri. A scholar is included among the top collaborators of Antonio Carrieri 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 Antonio Carrieri. Antonio Carrieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 53 | |
| 11 | 18 | |
| 12 | 16 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 15 | |
| 16 | 87 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 9 | |
| 20 | Papain catalyzed hydrolysis of aryl esters: a comparison of the Hansch, Docking and CoMFA methods | 1 |
About Antonio Carrieri
Antonio Carrieri is a scholar working on Computational Theory and Mathematics, Pharmacology and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), Receptor Mechanisms and Signaling (20 papers) and Cholinesterase and Neurodegenerative Diseases (15 papers). The work is most often cited by research in Organic Chemistry (744 citations), Pharmacology (354 citations) and Computational Theory and Mathematics (284 citations). Antonio Carrieri has collaborated with scholars based in Italy, Spain and France. Frequent co-authors include Angelo Carotti, Filomena Corbo, Alessia Carocci, Cosimo Altomare, Antonio Rosato, Carlo Franchini, Maria Pigini, Alessia Catalano, Wilma Quaglia and Alessandro Piergentili. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.
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.