C Suraci
-
- Diabetes Management and Research 12
- Diabetes Treatment and Management 3
- Genetics top 5%
- Diabetes and associated disorders 13
- Nephrology top 5%
- Surgery top 10%
- Pancreatic function and diabetes 9
- Bariatric Surgery and Outcomes 2
- Pathology and Forensic Medicine top 10%
- Vitamin D Research Studies 2
-
- Metabolism, Diabetes, and Cancer 3
-
- Gestational Diabetes Research and Management 2
- Co-authors
- Paolo PozzilliDario PitoccoRaffaella BuzzettiSilvia ManfriniMaria Gisella CavalloN VisalliCarla BizzarriAntonino Crinò
- Journals
- Diabetes Care (4 papers)Diabetes Technology & Therapeutics (3 papers)Journal of Renal Nutrition (3 papers)
- Partner nations
- ItalyUnited StatesLebanon
In The Last Decade
C Suraci
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 639
- Genetics 568
- Nephrology 94
- Surgery 476
- Pathology and Forensic Medicine 165
Countries citing papers authored by C Suraci
This map shows the geographic impact of C Suraci'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 C Suraci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Suraci more than expected).
Fields of papers citing papers by C Suraci
This network shows the impact of papers produced by C Suraci. 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 C Suraci. The network helps show where C Suraci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C Suraci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2019 | 9 | |
| 3 | 2018 | 1 | |
| 4 | Gender differences in type 2 diabetes (Italy) | 2016 | 3 |
| 5 | 2016 | 33 | |
| 6 | 2012 | 4 | |
| 7 | 2012 | 10 | |
| 8 | 2011 | 11 | |
| 9 | 2010 | 115 | |
| 10 | 2009 | 2 | |
| 11 | 2007 | 24 | |
| 12 | 2006 | 20 | |
| 13 | 2006 | 99 | |
| 14 | 2004 | 45 | |
| 15 | 2004 | 47 | |
| 16 | 2004 | 12 | |
| 17 | 2002 | 62 | |
| 18 | 2000 | 154 | |
| 19 | 1988 | 35 | |
| 20 | [Serum content of vitamin A binding proteins (prealbumin and retinol binding proteins) in normal and pathological conditions]. | 1983 | 2 |
About C Suraci
C Suraci is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Nephrology, Surgery and Obstetrics and Gynecology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Diabetes Management and Research (12 papers), Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Gestational Diabetes Research and Management (2 papers), Vitamin D Research Studies (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (639 citations), Genetics (568 citations), Nephrology (94 citations), Surgery (476 citations) and Pathology and Forensic Medicine (165 citations). C Suraci has collaborated with scholars based in Italy, United States and Lebanon. Frequent co-authors include Paolo Pozzilli, Dario Pitocco, Raffaella Buzzetti, Silvia Manfrini, Maria Gisella Cavallo, N Visalli, Carla Bizzarri, Antonino Crinò, Andrea Giaccari and S. Spera. Their work appears in journals such as Diabetes Care, Diabetes Technology & Therapeutics, Journal of Renal Nutrition, Acta Diabetologica and Diabetes Research and Clinical Practice.
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.