C Suraci

2.3k citations
34 papers · 1.3k · h-index 18

Impact in

Papers in

    • Diabetes Management and Research 8
    • Diabetes Treatment and Management 3
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
    • Diabetes and associated disorders 9

C Suraci

34 papers receiving 1.2k citations

Peers

C Suraci
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 423
  • Genetics 480
  • Nephrology 72
  • Pathology and Forensic Medicine 153
  • Surgery 287
Replace Parjeet Kaur with:
Parjeet Kaur India
Donald Pearson United Kingdom
Rochelle L Chaiken United States
F. Pansini Italy
Cristina Maglio Sweden
Inka Miñambres Spain
Hannu Jokela Finland
Matthew P. Gilbert United States
Ronald M. Krauss United States
Joanne Hoover United States
C Suraci relative to Parjeet Kaur India Parjeet Kaur's profile →
Citations per field
00.5×8.6×
Parjeet Kaur · 1×
Citations per year

Countries citing papers authored by C Suraci

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with C Suraci Line = papers co-authored together C Suraci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007184
2 2000154
3 2010116
4 201399
5 200699
6 200262
7 201959
8 200852
9 201550
10 200447
11 200445
12 200444
13 201636
14 198835
15 200327
16
Constipation and obesity: a statistical analysis.
198126
17 200724
18 200620
19 200413
20 201111

About C Suraci

C Suraci is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Nephrology, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Diabetes Management and Research (8 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (3 papers), Gestational Diabetes Research and Management (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Artificial Intelligence in Healthcare (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (423 citations), Genetics (480 citations), Nephrology (72 citations), Pathology and Forensic Medicine (153 citations) and Surgery (287 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, Antonino Crinò, Carla Bizzarri, Antonio Petrone and Emanuele Bosi. Their work appears in journals such as Diabetes Care, Diabetes Technology & Therapeutics, Journal of Renal Nutrition, Diabetes Research and Clinical Practice and Acta Diabetologica.

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.

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