Catherine L. Knapper

952 citations
10 papers · 795 · h-index 9

Impact in

  • Surgery top 5%
    • Cholesterol and Lipid Metabolism
    • Lipoproteins and Cardiovascular Health
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cholesterol and Lipid Metabolism 6
    • Lipoproteins and Cardiovascular Health 1
    • Drug Transport and Resistance Mechanisms 5

Catherine L. Knapper

10 papers receiving 778 citations

Peers

Catherine L. Knapper
Comparison fields: 5 of 56
  • Surgery 576
  • Oncology 316
  • Biochemistry 80
  • Endocrinology, Diabetes and Metabolism 150
  • Cancer Research 118
Replace Betsie Boucher with:
Betsie Boucher Canada
Mehrdad Haghpassand United States
Seth M. Klein United States
Baukje M. Elzinga Netherlands
Stephanie Mott United States
Horng-Yuan Kan United States
Chris Daige United States
Takeshi Kujiraoka Japan
Sam R. Holmstrom United States
Yuika Ikeda Japan
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Citations per field
00.5×10×
Betsie Boucher · 1×
Citations per year

Countries citing papers authored by Catherine L. Knapper

Since Specialization
Citations

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

Fields of papers citing papers by Catherine L. Knapper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine L. Knapper. 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 Catherine L. Knapper. The network helps show where Catherine L. Knapper may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2003190
2 2000176
3 2004159
4 200669
5 200264
6 200337
7 200337
8 200932
9 199728
10 20033

About Catherine L. Knapper

Catherine L. Knapper is a scholar working on Surgery, Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 795 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipid metabolism and disorders (2 papers), Lipid metabolism and biosynthesis (2 papers), Lipoproteins and Cardiovascular Health (1 paper) and Dermatological and Skeletal Disorders (1 paper). The work is most often cited by research in Surgery (576 citations), Oncology (316 citations), Biochemistry (80 citations), Endocrinology, Diabetes and Metabolism (150 citations) and Cancer Research (118 citations). Catherine L. Knapper has collaborated with scholars based in United States and France. Frequent co-authors include Silvia Santamarina-Fojo, Alan T. Remaley, Lita A. Freeman, Marcelo Amar, Edward B. Neufeld, H Bryan Brewer, John A. Stonik, Jamila Fruchart‐Najib, H. Bryan Brewer and Federica Basso. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Investigation, Journal of Biological Chemistry, Atherosclerosis Supplements and Metabolism.

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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