C. Fermon

643 citations
16 papers · 462 · h-index 10

Impact in

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

Papers in

C. Fermon

15 papers receiving 445 citations

Peers

C. Fermon
Comparison fields: 5 of 62
  • Endocrinology, Diabetes and Metabolism 260
  • Genetics 139
  • Surgery 129
  • Hematology 18
  • Reproductive Medicine 11
Replace Eduarda Pizarro with:
Eduarda Pizarro Spain
W. Y. Ng Singapore
Diane Rottembourg Canada
Muhammad M. Hafiz United States
Kuralay Atageldiyeva Kazakhstan
Monina S. Cabrera United States
Bin Moore Australia
Gennet Gebre‐Medhin Sweden
Stina Axelsson Sweden
Yohei Ogawa Japan
C. Fermon relative to Eduarda Pizarro Spain Eduarda Pizarro's profile →
Citations per field
00.5×4.1×
Eduarda Pizarro · 1×
Citations per year

Countries citing papers authored by C. Fermon

Since Specialization
Citations

This map shows the geographic impact of C. Fermon'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. Fermon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Fermon more than expected).

Fields of papers citing papers by C. Fermon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Fermon. 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. Fermon. The network helps show where C. Fermon may publish in the future.

Co-authors

The 25 scholars most cited alongside C. Fermon, 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. Fermon Line = papers co-authored together C. Fermon links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011133
2 200875
3 200558
4 201736
5 200133
6 201127
7 200927
8 200321
9 200717
10 200516
11 20096
12 19855
13 20065
14 20092
15 20031
16 20100

About C. Fermon

C. Fermon is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 462 indexed citations. Recurring topics across this work include Diabetes Management and Research (5 papers), Blood properties and coagulation (2 papers), Cardiovascular Function and Risk Factors (2 papers), Nuclear Structure and Function (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Gestational Diabetes Research and Management (1 paper), Diet and metabolism studies (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (260 citations), Genetics (139 citations), Surgery (129 citations), Hematology (18 citations) and Reproductive Medicine (11 citations). C. Fermon has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Marie‐Christine Vantyghem, Kirsten Nørgaard, Peter Diem, J. Hans DeVries, I. M. E. Wentholt, Daniela Bruttomesso, Anders Frid, Chantal Mathieu, Colin Dayan and Jeroen Hermanides. Their work appears in journals such as Diabetes & Metabolism, Diabetes Technology & Therapeutics, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Diabetic Medicine.

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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