Jimmy Caroli
- Molecular Biology
- Cellular and Molecular Neuroscience
- Computational Theory and Mathematics top 10%
- Radiology, Nuclear Medicine and Imaging
- Cell Biology
- Co-authors
- Silvio BicciatoDavid E. GloriamAlbert J. KooistraGáspár Pándy‐SzekeresGyörgy M. KeserűAli A. KermaniPaolo SerafiniCristian Taccioli
- Topics
- Computational Drug Discovery Methods (6 papers)Receptor Mechanisms and Signaling (6 papers)Advanced biosensing and bioanalysis techniques (4 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ItalyDenmarkUnited States
In The Last Decade
Jimmy Caroli
19 papers receiving 469 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Molecular Biology 393
- Cellular and Molecular Neuroscience 105
- Computational Theory and Mathematics 70
- Radiology, Nuclear Medicine and Imaging 55
- Cell Biology 46
Countries citing papers authored by Jimmy Caroli
This map shows the geographic impact of Jimmy Caroli'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 Jimmy Caroli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimmy Caroli more than expected).
Fields of papers citing papers by Jimmy Caroli
This network shows the impact of papers produced by Jimmy Caroli. 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 Jimmy Caroli. The network helps show where Jimmy Caroli may publish in the future.
Co-authorship network of co-authors of Jimmy Caroli
This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Caroli. A scholar is included among the top collaborators of Jimmy Caroli 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 Jimmy Caroli. Jimmy Caroli 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 | 21 | |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resourcesbreakdown → | 122 |
| 10 | 54 | |
| 11 | 20 | |
| 12 | 7 | |
| 13 | 30 | |
| 14 | 21 | |
| 15 | 11 | |
| 16 | 52 | |
| 17 | 54 | |
| 18 | [APPLICATION OF THE METHOD OF RECONSTRUCTION TO BILIARY CIRRHOSES]. | 1 |
| 19 | [First clinical assays of a new synthetic analgesic, dextrorotatory 2,2-diphenyl-3-methyl-4-morpholino-butyryl-pyrrolidine base (R 875), on humans]. | 1 |
About Jimmy Caroli
Jimmy Caroli is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 19 papers that have together received 471 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (6 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (105 citations), Molecular Biology (393 citations) and Computational Theory and Mathematics (70 citations). Jimmy Caroli has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include Silvio Bicciato, David E. Gloriam, Albert J. Kooistra, Gáspár Pándy‐Szekeres, György M. Keserű, Ali A. Kermani, Paolo Serafini, Cristian Taccioli, Mattia Forcato and Alexander S. Hauser. Their work appears in journals such as Nucleic Acids Research, Nature Communications 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.