K. Berg

3.8k citations
131 papers · 3.2k · h-index 33

Impact in

Papers in

K. Berg

127 papers receiving 3.0k citations

Peers

K. Berg
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 759
  • Cardiology and Cardiovascular Medicine 853
  • Cancer Research 327
  • Surgery 901
  • Hematology 173
Replace Katherine Cianflone with:
Katherine Cianflone Canada
N Yamada Japan
Nicola Glorioso Italy
Flemming Skovby Denmark
Abel L. Robertson United States
Stanley C. Rall United States
Ken‐ichi Aihara Japan
Steven C. Hunt United States
Ralph Rabkin United States
Peter Eggena United States
K. Berg relative to Katherine Cianflone Canada Katherine Cianflone's profile →
Citations per field
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Katherine Cianflone · 1×
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 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993296
2 1965136
3 1975102
4 199196
5 199394
6 198484
7 198675
8 197672
9 197972
10 198971
11 200862
12 198561
13 199853
14
Molecular heterogeneity in the mild autosomal dominant forms of osteogenesis imperfecta.
198453
15 199752
16 199351
17
The gene for apolipoprotein C-II is closely linked to the gene for apolipo-protein E on chromosome 19.
198450
18 199748
19 198948
20 197647

About K. Berg

K. Berg is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 131 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Ion channel regulation and function (10 papers), Renin-Angiotensin System Studies (10 papers), Cancer, Lipids, and Metabolism (10 papers), Blood groups and transfusion (8 papers), Nutrition, Genetics, and Disease (7 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (759 citations), Cardiology and Cardiovascular Medicine (853 citations), Cancer Research (327 citations), Surgery (901 citations) and Hematology (173 citations). K. Berg has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Knut Erik Berge, Per Magnus, G. Dahlén, A. Bakken, M. Bøhn, Jan Erikssen, W. E. Nance, A L Børresen, T Bjerkedal and T. H. Fagerlund. Their work appears in journals such as Clinical Genetics, Human Genetics, Journal of Internal Medicine, Human Heredity and Vox Sanguinis.

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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