Giorgio Cavigiolio
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Oncology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Co-authors
- Michael N. OdaDomenico OsellaBaohai ShaoJay W. HeineckeCarlo NerviDonato ColangeloFranco LaschiPiero Zanello
- Topics
- Lipoproteins and Cardiovascular Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers)Peroxisome Proliferator-Activated Receptors (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryEnvironmental Science & Technology
- Partner nations
- United StatesItalyFrance
In The Last Decade
Giorgio Cavigiolio
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 692
- Organic Chemistry 491
- Oncology 411
- Endocrinology, Diabetes and Metabolism 319
- Surgery 310
Countries citing papers authored by Giorgio Cavigiolio
This map shows the geographic impact of Giorgio Cavigiolio'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 Giorgio Cavigiolio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Cavigiolio more than expected).
Fields of papers citing papers by Giorgio Cavigiolio
This network shows the impact of papers produced by Giorgio Cavigiolio. 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 Giorgio Cavigiolio. The network helps show where Giorgio Cavigiolio may publish in the future.
Co-authorship network of co-authors of Giorgio Cavigiolio
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Cavigiolio. A scholar is included among the top collaborators of Giorgio Cavigiolio 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 Giorgio Cavigiolio. Giorgio Cavigiolio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 35 | |
| 3 | 24 | |
| 4 | 115 | |
| 5 | 12 | |
| 6 | 112 | |
| 7 | 30 | |
| 8 | 26 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 26 | |
| 12 | 77 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 55 | |
| 16 | 95 | |
| 17 | 7 | |
| 18 | 150 | |
| 19 | 24 | |
| 20 | 32 |
About Giorgio Cavigiolio
Giorgio Cavigiolio is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Pharmaceutical Science, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Structural Biology (52 citations), Endocrinology, Diabetes and Metabolism (319 citations) and Organic Chemistry (491 citations). Giorgio Cavigiolio has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Michael N. Oda, Domenico Osella, Baohai Shao, Jay W. Heinecke, Carlo Nervi, Donato Colangelo, Franco Laschi, Piero Zanello, Marco Ferrali and Marco Fontani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.
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.