O. Wiklund

1.8k citations
43 papers · 1.5k indexed · h-index 22

Impact in

Papers in

O. Wiklund

43 papers receiving 1.4k citations

Peers

O. Wiklund
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 680
  • Cardiology and Cardiovascular Medicine 464
  • Biochemistry 97
  • Surgery 513
  • Nephrology 81
Replace D. J. Betteridge with:
D. J. Betteridge United Kingdom
Tadashi Suehiro Japan
Dorothy Bedford United Kingdom
J.G. Brook Israel
Carlo M. Barbagallo Italy
Yoh Miyashita Japan
Pia Lundman Sweden
Graziana Lupattelli Italy
A.H.M. Smelt Netherlands
Matthias Langenfeld Germany
O. Wiklund relative to D. J. Betteridge United Kingdom D. J. Betteridge's profile →
Citations per field
00.5×1.7×
D. J. Betteridge · 1×
Citations per year

Countries citing papers authored by O. Wiklund

Since Specialization
Citations

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

Fields of papers citing papers by O. Wiklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996188
2 1993179
3 2003112
4 2003102
5 199397
6 198066
7 200464
8 198062
9 200449
10 198743
11 198942
12 198842
13 200338
14 199038
15 199135
16 200031
17 199424
18 199123
19 199923
20 200022

About O. Wiklund

O. Wiklund is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Biochemistry, Cancer Research and Immunology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Cardiovascular Health and Disease Prevention (6 papers), Cancer, Lipids, and Metabolism (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (680 citations), Cardiology and Cardiovascular Medicine (464 citations), Biochemistry (97 citations), Surgery (513 citations) and Nephrology (81 citations). O. Wiklund has collaborated with scholars based in Sweden, Finland and Venezuela. Frequent co-authors include Göran Bondjers, Tom Björnheden, Gunnar Fager, Jan Oscarsson, S Edén, T. Rosén, B.‐Å. Bengtsson, Marja‐Riitta Taskinen, Ulf Smith and J. Hulthe. Their work appears in journals such as Atherosclerosis, Journal of Internal Medicine, European Heart Journal, European Journal of Clinical Investigation and Journal of Lipid Research.

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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