Jay Liu

840 citations
16 papers · 660 · h-index 12

Impact in

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

Papers in

    • Receptor Mechanisms and Signaling 2
    • Gut microbiota and health 2
    • Cholesterol and Lipid Metabolism 6

Jay Liu

16 papers receiving 653 citations

Peers

Jay Liu
Comparison fields: 5 of 83
  • Biochemistry 120
  • Cell Biology 134
  • Molecular Biology 407
  • Surgery 257
  • Neurology 45
Replace Robert N. Bone with:
Robert N. Bone United States
Eleonora Paradies Italy
Sabine Daemen Netherlands
Cristina Mascaró Spain
Russell Watts Canada
Geun Bae Rha United States
A. V. Alessenko Russia
Justin M. Snider United States
Peter Saiu United Kingdom
Olga Starodub United States
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Citations per field
00.5×1.5×2.3×
Robert N. Bone · 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

16 of 16 papers shown
#Work
1 2001118
2 2014117
3 200590
4 199964
5 200356
6 201648
7 200640
8 201929
9 201921
10 200820
11 201220
12 200914
13 202010
14 20216
15 20116
16 20181

About Jay Liu

Jay Liu is a scholar working on Molecular Biology, Surgery, Biochemistry, Cellular and Molecular Neuroscience and Emergency Medicine, having authored 16 papers that have together received 660 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Lipid metabolism and biosynthesis (5 papers), HIV-related health complications and treatments (3 papers), Cancer, Lipids, and Metabolism (2 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Gut microbiota and health (2 papers) and HIV Research and Treatment (1 paper). The work is most often cited by research in Biochemistry (120 citations), Cell Biology (134 citations), Molecular Biology (407 citations), Surgery (257 citations) and Neurology (45 citations). Jay Liu has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Catherine C.Y. Chang, Ta‐Yuan Chang, Bo-Liang Li, Maximillian A. Rogers, Matthew Heidtman, William J. Belden, Ole N. Jensen, Bao‐Liang Song, Charles Barlowe and Stefan Otte. Their work appears in journals such as Journal of Biological Chemistry, Assay and Drug Development Technologies, Journal of Pharmacology and Experimental Therapeutics, Brain Behavior and Immunity and The Journal of Cell 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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