C. Keller

469 citations
41 papers · 389 · h-index 11

Impact in

Papers in

    • Cancer, Lipids, and Metabolism 13
    • Lipoproteins and Cardiovascular Health 22
    • Cholesterol and Lipid Metabolism 5

C. Keller

36 papers receiving 358 citations

Peers

C. Keller
Comparison fields: 5 of 57
  • Equine 11
  • Endocrinology, Diabetes and Metabolism 103
  • Cancer Research 86
  • Surgery 228
  • Cardiology and Cardiovascular Medicine 80
Replace Takuya Doi with:
Takuya Doi Japan
Cecilia Mariana Cavallero Italy
Jeanie F. Kincer United States
Won Jung Kim South Korea
Cristhianna V. A. Collares Brazil
Jaclyn Ellis United States
Takanori Shiga Japan
Zenaida C. Garcia United States
Déborah Heydet Australia
Amaia Jauregi‐Miguel Spain
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Citations per field
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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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199092
2 199034
3 199821
4 198820
5 198120
6 199119
7 198317
8 198617
9 198814
10 199414
11 199311
12 20089
13 20148
14
Heterozygosity for the missense mutation Ala370-->Thr in exon 8 of the low density lipoprotein receptor gene does not cause hypercholesterolemia.
19987
15 20037
16 20177
17 20077
18 20067
19
Echocardiographic changes in patients with heterozygous and homozygous familial hypercholesterolemia: correlation with clinical findings.
19917
20 19886

About C. Keller

C. Keller is a scholar working on Cancer Research, Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 41 papers that have together received 389 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Cancer, Lipids, and Metabolism (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Cholesterol and Lipid Metabolism (5 papers), Lipid metabolism and disorders (4 papers), Reproductive Physiology in Livestock (4 papers), Veterinary Equine Medical Research (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Equine (11 citations), Endocrinology, Diabetes and Metabolism (103 citations), Cancer Research (86 citations), Surgery (228 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, Günther Wolfram, G Rauh, Steve Eric Humphries, Florentin A. Spengel, Gaby Hirsbrunner, Adrian Steiner, Claes Held and Andreas J. Wieczorek. Their work appears in journals such as Journal of Molecular Medicine, Atherosclerosis, Animal Reproduction Science, Clinical Genetics 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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