Giulia Caron
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Filtration and Separation top 2%
Papers in
-
- Protein Degradation and Inhibitors 16
- Ubiquitin and proteasome pathways 11
- Protein Structure and Dynamics 9
- Chemical Synthesis and Analysis 8
-
- Computational Drug Discovery Methods 52
- Co-authors
- Giuseppe Ermondi (94 shared papers)Bernard Testa (17 shared papers)Pierre‐Alain Carrupt (17 shared papers)Maura Vallaro (31 shared papers)Jan Kihlberg (8 shared papers)Patrick Gaillard (7 shared papers)Matteo Rossi Sebastiano (14 shared papers)Diego García Jiménez (11 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)Pharmaceutical Research (8 papers)European Journal of Pharmaceutical Sciences (7 papers)ACS Medicinal Chemistry Letters (6 papers)Helvetica Chimica Acta (6 papers)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Giulia Caron
119 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 785
- Filtration and Separation 87
- Spectroscopy 663
- Pharmaceutical Science 191
- Oncology 614
Countries citing papers authored by Giulia Caron
This map shows the geographic impact of Giulia Caron'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 Giulia Caron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Caron more than expected).
Fields of papers citing papers by Giulia Caron
This network shows the impact of papers produced by Giulia Caron. 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 Giulia Caron. The network helps show where Giulia Caron may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Caron, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 1997 | 120 | |
| 3 | 2019 | 110 | |
| 4 | 1998 | 90 | |
| 5 | 2004 | 87 | |
| 6 | 2002 | 78 | |
| 7 | 2020 | 76 | |
| 8 | 1999 | 74 | |
| 9 | 2018 | 73 | |
| 10 | 2013 | 73 | |
| 11 | 2022 | 72 | |
| 12 | 1997 | 63 | |
| 13 | 1999 | 62 | |
| 14 | 2010 | 60 | |
| 15 | 2012 | 57 | |
| 16 | 2021 | 56 | |
| 17 | 2016 | 52 | |
| 18 | 1999 | 45 | |
| 19 | 2020 | 45 | |
| 20 | 2004 | 44 |
About Giulia Caron
Giulia Caron is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Organic Chemistry and Oncology, having authored 121 papers that have together received 3.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (52 papers), Analytical Chemistry and Chromatography (26 papers), Protein Degradation and Inhibitors (16 papers), Ubiquitin and proteasome pathways (11 papers), Protein Structure and Dynamics (9 papers), Free Radicals and Antioxidants (8 papers), Chemical Synthesis and Analysis (8 papers) and Metal complexes synthesis and properties (8 papers). The work is most often cited by research in Computational Theory and Mathematics (785 citations), Filtration and Separation (87 citations), Spectroscopy (663 citations), Pharmaceutical Science (191 citations) and Oncology (614 citations). Giulia Caron has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Giuseppe Ermondi, Bernard Testa, Pierre‐Alain Carrupt, Maura Vallaro, Jan Kihlberg, Patrick Gaillard, Matteo Rossi Sebastiano, Diego García Jiménez, Alessandra Pagliara and Vasanthanathan Poongavanam. Their work appears in journals such as Journal of Medicinal Chemistry, Pharmaceutical Research, European Journal of Pharmaceutical Sciences, ACS Medicinal Chemistry Letters and Helvetica Chimica Acta.
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.