C. J. Hedeskov

2.0k citations
46 papers · 1.8k · 1 hit paper · h-index 21

Impact in

Papers in

C. J. Hedeskov

46 papers receiving 1.6k citations

C. J. Hedeskov's Hit Papers

Mechanism of glucose-induced insulin secretion. 1980 · 393 citations
3930+15+30Years since publication100200300

Peers

C. J. Hedeskov
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 663
  • Surgery 1.2k
  • Physiology 94
  • Genetics 519
  • Molecular Biology 900
Replace D. Janjic with:
D. Janjic Switzerland
Maryam Asfari Switzerland
Mina Peshavaria United States
Cristina Alarcón United States
M. Clay Glennon United States
Samira Daniel United States
Katsunori Tsukuda Japan
Heather H. Towery United States
James N. Leonard United States
Mette Valentin Jensen United States
C. J. Hedeskov relative to D. Janjic Switzerland D. Janjic's profile →
Citations per field
00.5×1.5×1.9×
D. Janjic · 1×
Citations per year

Countries citing papers authored by C. J. Hedeskov

Since Specialization
Citations

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

Fields of papers citing papers by C. J. Hedeskov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside C. J. Hedeskov, 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. J. Hedeskov Line = papers co-authored together C. J. Hedeskov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanism of glucose-induced insulin secretion.
Hit paper breakdown →
1980393
2 1970223
3 1968103
4 196684
5 197475
6 197874
7 198764
8 199255
9 198651
10 199046
11 197246
12 197443
13 198439
14 198137
15 197731
16 197329
17 197626
18 198224
19 198324
20 197522

About C. J. Hedeskov

C. J. Hedeskov is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Physiology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (40 papers), Metabolism, Diabetes, and Cancer (18 papers), Diabetes and associated disorders (14 papers), Diabetes Management and Research (14 papers), Diet, Metabolism, and Disease (8 papers), Diabetes Treatment and Management (5 papers), Diet and metabolism studies (4 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (663 citations), Surgery (1.2k citations), Physiology (94 citations), Genetics (519 citations) and Molecular Biology (900 citations). C. J. Hedeskov has collaborated with scholars based in Denmark, Spain and United Kingdom. Frequent co-authors include Kirsten Capito, Peter Thams, S. J. H. Ashcroft, P J Randle, Viggo Esmann, S. E. Hansen, Hans Kofod, Martin Lowry, C. Nissen and Leif Hertz. Their work appears in journals such as Biochemical Journal, Biochimica et Biophysica Acta (BBA) - General Subjects, Diabetologia, Acta Diabetologica and American Journal of Physiology-Endocrinology and Metabolism.

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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