Elisa Giani
Impact in
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- Diabetes Management and Research
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- Computational Drug Discovery Methods
Papers in
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- Diabetes Management and Research 11
- Genetics 6
- Diabetes and associated disorders 6
- Co-authors
- Paola Gramatica (3 shared papers)Ester Papa (3 shared papers)Lori M. Laffel (4 shared papers)Gianvincenzo Zuccotti (13 shared papers)Maddalena Macedoni (9 shared papers)Andrea Scaramuzza (10 shared papers)Lisa K. Volkening (1 shared paper)Alessandra Bosetti (5 shared papers)
- Journals
- Pediatric Diabetes (5 papers)Diabetes Research and Clinical Practice (2 papers)Diabetes Technology & Therapeutics (2 papers)Acta Diabetologica (2 papers)Journal of Neurology Neurosurgery & Psychiatry (1 paper)
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Elisa Giani
29 papers receiving 722 citations
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 245
- Computational Theory and Mathematics 121
- Pollution 47
- Genetics 103
- Health, Toxicology and Mutagenesis 47
Countries citing papers authored by Elisa Giani
This map shows the geographic impact of Elisa Giani'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 Elisa Giani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisa Giani more than expected).
Fields of papers citing papers by Elisa Giani
This network shows the impact of papers produced by Elisa Giani. 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 Elisa Giani. The network helps show where Elisa Giani may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisa Giani, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 216 | |
| 2 | 2016 | 69 | |
| 3 | 2022 | 62 | |
| 4 | 2016 | 59 | |
| 5 | 2015 | 33 | |
| 6 | 2005 | 32 | |
| 7 | 2021 | 29 | |
| 8 | 2019 | 28 | |
| 9 | 2015 | 25 | |
| 10 | 2016 | 24 | |
| 11 | 2011 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2014 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2011 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2011 | 10 | |
| 18 | 2011 | 10 | |
| 19 | 1998 | 8 | |
| 20 | 2022 | 7 |
About Elisa Giani
Elisa Giani is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Dermatology and Epidemiology, having authored 29 papers that have together received 738 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (5 papers), Skin Diseases and Diabetes (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Retinal Imaging and Analysis (1 paper), Lichen and fungal ecology (1 paper) and Biochemical Acid Research Studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (245 citations), Computational Theory and Mathematics (121 citations), Pollution (47 citations), Genetics (103 citations) and Health, Toxicology and Mutagenesis (47 citations). Elisa Giani has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Paola Gramatica, Ester Papa, Lori M. Laffel, Gianvincenzo Zuccotti, Maddalena Macedoni, Andrea Scaramuzza, Lisa K. Volkening, Alessandra Bosetti, Roque Cardona‐Hernandez and Michelle L. Katz. Their work appears in journals such as Pediatric Diabetes, Diabetes Research and Clinical Practice, Diabetes Technology & Therapeutics, Acta Diabetologica and Journal of Neurology Neurosurgery & Psychiatry.
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.