Quein Pao

659 citations
12 papers · 561 · h-index 12

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Protein Interaction Studies and Fluorescence Analysis 2
    • Cholesterol and Lipid Metabolism 5

Quein Pao

12 papers receiving 532 citations

Peers

Quein Pao
Comparison fields: 5 of 61
  • Biochemistry 137
  • Endocrinology, Diabetes and Metabolism 160
  • Nutrition and Dietetics 134
  • Surgery 256
  • Cancer Research 55
Replace Hans Caster with:
Hans Caster Belgium
R. Vercaemst Belgium
Lucille Hughes United States
Antonio M. Gotto United States
Mary C. Ritter United States
N Vinaimont Belgium
O.V. Rajaram Australia
Trudy Forte United States
Richard F. Bousley United States
Manford D. Morris United States
Quein Pao relative to Hans Caster Belgium Hans Caster's profile →
Citations per field
00.5×
Hans Caster · 1×
Citations per year

Countries citing papers authored by Quein Pao

Since Specialization
Citations

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

Fields of papers citing papers by Quein Pao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Quein Pao, 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 Quein Pao Line = papers co-authored together Quein Pao links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1999146
2 198784
3 198572
4 198154
5 198240
6 198540
7 197837
8 198721
9 198520
10 198919
11 199715
12 199713

About Quein Pao

Quein Pao is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Biochemistry, having authored 12 papers that have together received 561 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Fatty Acid Research and Health (3 papers), Lipid Membrane Structure and Behavior (3 papers), Lipid metabolism and biosynthesis (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biochemistry (137 citations), Endocrinology, Diabetes and Metabolism (160 citations), Nutrition and Dietetics (134 citations), Surgery (256 citations) and Cancer Research (55 citations). Quein Pao has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Henry J. Pownall, John B. Massey, Antonio M. Gotto, Charlotte Payton‐Ross, Christie M. Ballantyne, Michael F. Rohde, Roger D. Knapp, W B Van Winkle, James T. Sparrow and Howard L. Brockman. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research and Biochemistry.

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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