C Suraci

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

Impact in

Papers in

    • Diabetes Management and Research 9
    • Diabetes Treatment and Management 3
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 2
    • Diabetes and associated disorders 10

C Suraci

35 papers receiving 1.3k citations

Peers

C Suraci
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 449
  • Genetics 513
  • Nephrology 74
  • Pathology and Forensic Medicine 167
  • Surgery 307
Replace F. Pansini with:
F. Pansini Italy
Parjeet Kaur India
Gaetano Leto Italy
Rochelle L Chaiken United States
Donald Pearson United Kingdom
Cristina Maglio Sweden
Hannu Jokela Finland
Inka Miñambres Spain
Matthew P. Gilbert United States
H Schmidt-Gayk Germany
C Suraci relative to F. Pansini Italy F. Pansini's profile →
Citations per field
00.5×7.7×
F. Pansini · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007187
2 2000163
3 2010129
4 2006110
5 2013101
6 200266
7 201960
8 200853
9 200451
10 201550
11 200448
12 200448
13 201636
14 198836
15
Constipation and obesity: a statistical analysis.
198127
16 200327
17 200725
18 200620
19 200413
20 201211

About C Suraci

C Suraci is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Nephrology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), Diabetes Management and Research (9 papers), Pancreatic function and diabetes (4 papers), Diabetes Treatment and Management (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 (449 citations), Genetics (513 citations), Nephrology (74 citations), Pathology and Forensic Medicine (167 citations) and Surgery (307 citations). C Suraci has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paolo Pozzilli, Dario Pitocco, Raffaella Buzzetti, Silvia Manfrini, Maria Gisella Cavallo, N Visalli, Carla Bizzarri, Antonino Crinò, S. Spera and Giovanni Ghirlanda. Their work appears in journals such as Diabetes Care, Diabetes Technology & Therapeutics, Journal of Renal Nutrition, Hormone and Metabolic Research 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.

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