K. Beckman

658 citations
21 papers · 518 · h-index 11

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • Sphingolipid Metabolism and Signaling 3
    • Lysosomal Storage Disorders Research 3

K. Beckman

21 papers receiving 506 citations

Peers

K. Beckman
Comparison fields: 5 of 74
  • Clinical Biochemistry 99
  • Biochemistry 66
  • Cardiology and Cardiovascular Medicine 132
  • Molecular Biology 394
  • Physiology 19
Replace Gengshu Wu with:
Gengshu Wu Canada
Nora Stern Israel
Vildan N. Civelek United States
Jihong Jiang Canada
Joseph V. Auditore United States
Colin T. Stomberski United States
Elizabeth Moran United States
Rafael Pérez‐Pérez Spain
Tatsuya Kishimoto Japan
R Sikstrom Canada
K. Beckman relative to Gengshu Wu Canada Gengshu Wu's profile →
Citations per field
00.5×4.8×
Gengshu Wu · 1×
Citations per year

Countries citing papers authored by K. Beckman

Since Specialization
Citations

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

Fields of papers citing papers by K. Beckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004156
2 198768
3 199456
4 198847
5 199439
6 199325
7 199220
8 199219
9 200315
10 197814
11 199611
12 199110
13 19809
14 19798
15 19806
16 19785
17 19824
18 19993
19 20251
20 19781

About K. Beckman

K. Beckman is a scholar working on Molecular Biology, Physiology, Clinical Biochemistry, Biochemistry and Pathology and Forensic Medicine, having authored 21 papers that have together received 518 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Metabolism and Genetic Disorders (6 papers), Biomedical Research and Pathophysiology (5 papers), Lipid metabolism and biosynthesis (4 papers), Lysosomal Storage Disorders Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (99 citations), Biochemistry (66 citations), Cardiology and Cardiovascular Medicine (132 citations), Molecular Biology (394 citations) and Physiology (19 citations). K. Beckman has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include A. Poulos, Harmeet Singh, David W. Johnson, P. Sharp, I. G. White, Christopher J. Easton, Nigel G. Laing, Robert A. Gibson, Ralf Herrmann and Danielle E. Dye. Their work appears in journals such as Clinica Chimica Acta, Journal of Lipid Research, Clinical Genetics, The Journal of Pediatrics and The American Journal of Human Genetics.

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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