C-G Östenson

21 papers receiving 482 citations

Peers

C-G Östenson
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 104
  • Cellular and Molecular Neuroscience 65
  • Endocrine and Autonomic Systems 21
  • Surgery 122
  • Molecular Biology 196
Replace Kiyosumi Takaishi with:
Kiyosumi Takaishi Japan
Shiri Levy United States
Angélica Morales Mexico
Pedro Chacón Spain
J. D. Young Australia
Alejandra Duarte Argentina
Luca Mariotta Switzerland
Kazuo Tsuji Japan
B. Shaw United Kingdom
Marko Sever Croatia
C-G Östenson relative to Kiyosumi Takaishi Japan Kiyosumi Takaishi's profile →
Citations per field
00.5×
Kiyosumi Takaishi · 1×
Citations per year

Countries citing papers authored by C-G Östenson

Since Specialization
Citations

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

Fields of papers citing papers by C-G Östenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200752
2 200046
3 200339
4 199138
5 200134
6 198933
7 199031
8 201130
9 200130
10 200628
11 200427
12 200825
13 199322
14 199920
15 199520
16 200111
17 19907
18 20035
19
Aspects of insulin release in NIDDM
19931
20 20051

About C-G Östenson

C-G Östenson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 21 papers that have together received 501 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (5 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Adipose Tissue and Metabolism (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Diabetes Management and Research (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (104 citations), Cellular and Molecular Neuroscience (65 citations), Endocrine and Autonomic Systems (21 citations), Surgery (122 citations) and Molecular Biology (196 citations). C-G Östenson has collaborated with scholars based in Sweden, Russia and United States. Frequent co-authors include Suad Efendić, Paul Hjemdahl, Nailin Li, S. Efendić, Abdul Waheed Khan, Niklas Hammar, Sofia Carlsson, Andris Kreicbergs, P Persson and Tashfeen Ahmad. Their work appears in journals such as International Journal of Obesity, Biochemical and Biophysical Research Communications, Blood Cancer Journal, Neuroscience 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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