K. Berg

35 papers receiving 403 citations

Peers

K. Berg
Comparison fields: 5 of 86
  • Complementary and Manual Therapy 16
  • Endocrinology, Diabetes and Metabolism 105
  • Cardiology and Cardiovascular Medicine 94
  • Cancer Research 55
  • Genetics 92
Replace Tetsu Miyamoto with:
Tetsu Miyamoto Japan
Robert Klepacz Poland
G. Nicoloff Bulgaria
Catherine Atlan France
Ming-Chung Lin Taiwan
Alexia Vinel France
Axelle Pintiaux Belgium
Emma Fletcher United States
Anders Hamsten Sweden
Marzia De Gironcoli Italy
K. Berg relative to Tetsu Miyamoto Japan Tetsu Miyamoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. Berg

Since Specialization
Citations

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

Fields of papers citing papers by K. Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetics of coronary heart disease.
198389
2 197849
3 200124
4 198623
5
Strategies for controlling cancer through genetics.
198722
6 198021
7 197621
8 200017
9 197715
10 197615
11 199414
12 198513
13 200213
14
Strategies for controlling cancer through genetics: report of a workshop.
198711
15 200310
16 202010
17 19979
18 19768
19
The genetics of the hyperlipidemias and coronary artery disease.
19827
20
Aerobic fitness and serum high-density lipoprotein cholesterol in young children.
19847

About K. Berg

K. Berg is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Economics and Econometrics and Surgery, having authored 39 papers that have together received 437 indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (4 papers), Hormonal Regulation and Hypertension (4 papers), Taxation and Compliance Studies (4 papers), Gender, Labor, and Family Dynamics (3 papers), Renin-Angiotensin System Studies (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Income, Poverty, and Inequality (2 papers) and Nutrition, Genetics, and Disease (2 papers). The work is most often cited by research in Complementary and Manual Therapy (16 citations), Endocrinology, Diabetes and Metabolism (105 citations), Cardiology and Cardiovascular Medicine (94 citations), Cancer Research (55 citations) and Genetics (92 citations). K. Berg has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include G. Dahlén, C. Ericson, Knut Erik Berge, RobertW. Miller, A L Børresen, Ingrid Os, J. J. Mulvihill, M. H. Frick, Srdjan Djurovic and Anna M. Kessling. Their work appears in journals such as Clinical Genetics, Nature, Journal of Internal Medicine, The Lancet and International Tax and Public Finance.

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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