F. Sundby

1.5k citations
20 papers · 626 · h-index 14

Impact in

Papers in

F. Sundby

19 papers receiving 564 citations

Peers

F. Sundby
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 268
  • Cellular and Molecular Neuroscience 160
  • Surgery 276
  • Animal Science and Zoology 43
  • Molecular Biology 268
Replace Chad G. Miller with:
Chad G. Miller United States
Thomas F. Mowles United States
Peter Ronner United States
Bruce L. Maloff United States
Theodore L. Swartz United States
Gabriel Alvarado-Urbina Canada
R. Thunberg Sweden
Henrik Wadensten Sweden
Kyungsoo Shin Canada
Yoshihiko Baba United States
F. Sundby relative to Chad G. Miller United States Chad G. Miller's profile →
Citations per field
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Chad G. Miller · 1×
Citations per year

Countries citing papers authored by F. Sundby

Since Specialization
Citations

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

Fields of papers citing papers by F. Sundby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 197697
2 197192
3 197973
4 197266
5 196239
6 197235
7
Proinsulin, insulin and C-peptide.
197134
8 197132
9 201131
10 197030
11 197021
12 197518
13 197416
14 197913
15 196710
16 19718
17 19746
18 20212
19 20092
20
[Extracorporeal circulation of the pancreato-duodenal mass in the dog. Technique. Function. Value].
19691

About F. Sundby

F. Sundby is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Animal Science and Zoology, having authored 20 papers that have together received 626 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers), Protein Structure and Dynamics (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Animal Nutrition and Physiology (2 papers), Diet, Metabolism, and Disease (2 papers) and Proteins in Food Systems (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Cellular and Molecular Neuroscience (160 citations), Surgery (276 citations), Animal Science and Zoology (43 citations) and Molecular Biology (268 citations). F. Sundby has collaborated with scholars based in Denmark, Switzerland and Norway. Frequent co-authors include Alison Moody, Henning Jacobsen, Jan Markussen, Johannes Thomsen, K. Brunfeldt, Karsten Kristiansen, Martin Rodbell, Stephen L. Pohl, Lutz Birnbaumer and Allan Siperstein. Their work appears in journals such as Hormone and Metabolic Research, Journal of Biological Chemistry, FEBS Letters, British Poultry Science and Nature.

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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