G. Dahlén

4.6k citations
64 papers · 3.8k indexed · 2 hit papers · h-index 27

G. Dahlén

64 papers receiving 3.6k citations

Hit Papers

Association of levels of lipoprotein Lp(a), plasma lipids...7751983202619972011250500750

Peers

G. Dahlén
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Cancer Research 929
  • Surgery 2.3k
  • Cardiology and Cardiovascular Medicine 991
  • Immunology and Allergy 131
Replace F. Haverkate with:
F. Haverkate Netherlands
Shih-Jen Hwang United States
Jørgen Gram Denmark
Gösta Dahlén Sweden
Antonino Buffon Italy
Bernd Hohenstein Germany
Yadon Arad United States
Rabih M. Salloum United States
E. Darracott Vaughan United States
Vivian P. Thompson United States
G. Dahlén relative to F. Haverkate Netherlands F. Haverkate's profile →
Citations per field
00.5×3.0×
F. Haverkate · 1×
Citations per year

Countries citing papers authored by G. Dahlén

Since Specialization
Citations

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

Fields of papers citing papers by G. Dahlén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20084
2 2004116
3 200372
4 200241
5 199847
6 199716
7 199617
8 199516
9 19955
10 199410
11 199438
12 199329
13 199312
14 199281
15 199240
16 199122
17 198325
18
Effect of gemfibrozil on serum lipid levels.
198013
19 197641
20 197615

About G. Dahlén

G. Dahlén is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism, Surgery, Immunology and Allergy and Medical Laboratory Technology, having authored 64 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (39 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Cancer, Lipids, and Metabolism (12 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Cell Adhesion Molecules Research (5 papers), Blood properties and coagulation (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Acute Myocardial Infarction Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cancer Research (929 citations), Surgery (2.3k citations), Cardiology and Cardiovascular Medicine (991 citations) and Immunology and Allergy (131 citations). G. Dahlén has collaborated with scholars based in Sweden, Norway and Finland. Frequent co-authors include Antonio M. Gotto, John R. Guyton, J A Kautz, John A. Farmer, Sina Attar Roshan, C. Ericson, Anders Hamsten, K. Berg, John W. Gaubatz and Carol L. Heideman. Their work appears in journals such as Clinical Genetics, Atherosclerosis, Circulation, Scandinavian Journal of Clinical and Laboratory Investigation and Journal of Internal 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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