C. Keller

467 citations
33 papers · 358 · h-index 11

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 19
    • Cholesterol and Lipid Metabolism 4
    • Cancer, Lipids, and Metabolism 10

C. Keller

32 papers receiving 337 citations

Peers

C. Keller
Comparison fields: 5 of 57
  • Equine 13
  • Endocrinology, Diabetes and Metabolism 105
  • Cancer Research 91
  • Surgery 236
  • Cardiology and Cardiovascular Medicine 80
Replace Ji‐Han Xia with:
Ji‐Han Xia China
Lorraine Leversha Australia
Müge Mısırlıoğlu Türkiye
Cristhianna V. A. Collares Brazil
Ali Bayoumi Australia
Hidemi Yasuda Japan
Tetsuya Fujita Japan
Nathaniel C. Myers United States
Noemi Brusco Italy
Francesca Mancarella Italy
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Citations per field
00.5×3.7×
Ji‐Han Xia · 1×
Citations per year

Countries citing papers authored by C. Keller

Since Specialization
Citations

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

Fields of papers citing papers by C. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199088
2 199034
3 199821
4 199118
5 198817
6 198117
7 198315
8 198615
9 199414
10 198813
11 199310
12 20088
13 20077
14 20147
15
Heterozygosity for the missense mutation Ala370-->Thr in exon 8 of the low density lipoprotein receptor gene does not cause hypercholesterolemia.
19987
16 20176
17 20036
18 20066
19 20096
20
Echocardiographic changes in patients with heterozygous and homozygous familial hypercholesterolemia: correlation with clinical findings.
19916

About C. Keller

C. Keller is a scholar working on Surgery, Cancer Research, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 33 papers that have together received 358 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Cancer, Lipids, and Metabolism (10 papers), Cholesterol and Lipid Metabolism (4 papers), Reproductive Physiology in Livestock (4 papers), Hormonal Regulation and Hypertension (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Equine (13 citations), Endocrinology, Diabetes and Metabolism (105 citations), Cancer Research (91 citations), Surgery (236 citations) and Cardiology and Cardiovascular Medicine (80 citations). C. Keller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include N. Zöllner, H. Schuster, G. Wolfram, G Rauh, Steve E. Humphries, F. A. Spengel, Adrian Steiner, Gaby Hirsbrunner, Claes Held and K. Theisen. Their work appears in journals such as Journal of Molecular Medicine, Atherosclerosis, Animal Reproduction Science, Human Pathology and Theriogenology.

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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