Jay Liu

849 citations
17 papers · 685 · h-index 12

Impact in

    • Lipid metabolism and biosynthesis
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Gut microbiota and health 2
    • Receptor Mechanisms and Signaling 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Cholesterol and Lipid Metabolism 7

Jay Liu

17 papers receiving 676 citations

Peers

Jay Liu
Comparison fields: 5 of 77
  • Biochemistry 124
  • Cell Biology 135
  • Surgery 263
  • Molecular Biology 406
  • Neurology 43
Replace Jana Sánchez with:
Jana Sánchez Spain
A. V. Alessenko Russia
Robert N. Bone United States
Essam A. Assali Israel
J E Vance Canada
Olga Starodub United States
Eylan Yutuc United Kingdom
Justin M. Snider United States
Cristina Mascaró Spain
Catherine Gondcaille France
Jay Liu relative to Jana Sánchez Spain Jana Sánchez's profile →
Citations per field
00.5×2×3×3.6×
Jana Sánchez · 1×
Citations per year

Countries citing papers authored by Jay Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jay Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2014124
2 2001119
3 200593
4 199965
5 200360
6 201649
7 200641
8 201929
9 201921
10 201221
11 200820
12 200915
13 202011
14 20116
15 20216
16 20034
17 20181

About Jay Liu

Jay Liu is a scholar working on Molecular Biology, Surgery, Biochemistry, Cellular and Molecular Neuroscience and Oncology, having authored 17 papers that have together received 685 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Lipid metabolism and biosynthesis (6 papers), Cancer, Lipids, and Metabolism (2 papers), Gut microbiota and health (2 papers), Receptor Mechanisms and Signaling (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), HIV-related health complications and treatments (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Biochemistry (124 citations), Cell Biology (135 citations), Surgery (263 citations), Molecular Biology (406 citations) and Neurology (43 citations). Jay Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ta‐Yuan Chang, Catherine C.Y. Chang, Bo-Liang Li, Maximillian A. Rogers, Bao‐Liang Song, Charles Barlowe, Stefan Otte, Ole N. Jensen, William J. Belden and Matthew Heidtman. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics and Journal of Leukocyte Biology.

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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