Davide Maggi
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cell Biology top 5%
- Caveolin-1 and cellular processes
Papers in
-
- Metabolism, Diabetes, and Cancer 21
- Cell Biology 19
- Caveolin-1 and cellular processes 16
- Co-authors
- Renzo Cordera (37 shared papers)Barbara Salani (19 shared papers)Alessandra Puddu (16 shared papers)Gianmario Sambuceti (8 shared papers)Cecilia Marini (8 shared papers)L. Briatore (9 shared papers)Silvia Ravera (12 shared papers)Mario Passalacqua (7 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (9 papers)International Journal of Molecular Sciences (8 papers)Endocrinology (4 papers)Frontiers in Endocrinology (4 papers)Obesity (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Davide Maggi
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 223
- Cell Biology 233
- Endocrinology, Diabetes and Metabolism 210
- Molecular Biology 598
- Physiology 36
Countries citing papers authored by Davide Maggi
This map shows the geographic impact of Davide Maggi'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 Davide Maggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Maggi more than expected).
Fields of papers citing papers by Davide Maggi
This network shows the impact of papers produced by Davide Maggi. 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 Davide Maggi. The network helps show where Davide Maggi may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Maggi, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2014 | 98 | |
| 3 | 2016 | 66 | |
| 4 | 2011 | 64 | |
| 5 | 2008 | 51 | |
| 6 | 2015 | 47 | |
| 7 | 2002 | 46 | |
| 8 | 2006 | 43 | |
| 9 | 2013 | 41 | |
| 10 | 2015 | 40 | |
| 11 | 2005 | 39 | |
| 12 | 2003 | 38 | |
| 13 | 2010 | 37 | |
| 14 | 2007 | 34 | |
| 15 | 2015 | 33 | |
| 16 | 2022 | 32 | |
| 17 | 2023 | 30 | |
| 18 | 2004 | 28 | |
| 19 | 2010 | 27 | |
| 20 | 2018 | 26 |
About Davide Maggi
Davide Maggi is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (21 papers), Pancreatic function and diabetes (16 papers), Caveolin-1 and cellular processes (16 papers), Diabetes Management and Research (9 papers), Diabetes Treatment and Management (8 papers), Lipid metabolism and disorders (6 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Cancer Research (223 citations), Cell Biology (233 citations), Endocrinology, Diabetes and Metabolism (210 citations), Molecular Biology (598 citations) and Physiology (36 citations). Davide Maggi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Renzo Cordera, Barbara Salani, Alessandra Puddu, Gianmario Sambuceti, Cecilia Marini, L. Briatore, Silvia Ravera, Mario Passalacqua, Gabriella Andraghetti and Alberto Del Río. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences, Endocrinology, Frontiers in Endocrinology and Obesity.
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.