Jay Liu

840 total citations
16 papers, 660 citations indexed

About

Jay Liu is a scholar working on Molecular Biology, Surgery and Biochemistry. According to data from OpenAlex, Jay Liu has authored 16 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Biochemistry. Recurrent topics in Jay Liu's work include Cholesterol and Lipid Metabolism (6 papers), Lipid metabolism and biosynthesis (5 papers) and HIV-related health complications and treatments (3 papers). Jay Liu is often cited by papers focused on Cholesterol and Lipid Metabolism (6 papers), Lipid metabolism and biosynthesis (5 papers) and HIV-related health complications and treatments (3 papers). Jay Liu collaborates with scholars based in United States, China and Denmark. Jay Liu's co-authors include Ta‐Yuan Chang, Catherine C.Y. Chang, Bo-Liang Li, Maximillian A. Rogers, Charles Barlowe, Matthew Heidtman, Bao‐Liang Song, Stefan Otte, William J. Belden and Ole N. Jensen and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemical Journal.

In The Last Decade

Jay Liu

16 papers receiving 653 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jay Liu United States	12	407	257	134	120	83	16	660
Robert N. Bone United States	14	285 0.7×	239 0.9×	117 0.9×	53 0.4×	82 1.0×	23	645
Ilir Mehmeti Germany	16	355 0.9×	285 1.1×	193 1.4×	45 0.4×	108 1.3×	25	776
Geun Bae Rha United States	10	292 0.7×	123 0.5×	71 0.5×	261 2.2×	258 3.1×	11	629
Olga Starodub United States	13	746 1.8×	266 1.0×	161 1.2×	151 1.3×	135 1.6×	14	952
Eleonora Paradies Italy	11	702 1.7×	59 0.2×	68 0.5×	115 1.0×	176 2.1×	18	922
C. Delbart France	16	258 0.6×	175 0.7×	56 0.4×	65 0.5×	95 1.1×	23	665
Charles A. Berdan United States	11	436 1.1×	104 0.4×	144 1.1×	46 0.4×	129 1.6×	12	742
Sabine Daemen Netherlands	15	335 0.8×	96 0.4×	160 1.2×	186 1.6×	328 4.0×	19	893
Russell Watts Canada	11	295 0.7×	112 0.4×	152 1.1×	106 0.9×	151 1.8×	16	582
Jeffrey L. Staecker United States	10	472 1.2×	126 0.5×	57 0.4×	36 0.3×	82 1.0×	10	829

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-authorship network of co-authors of Jay Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Liu. A scholar is included among the top collaborators of Jay Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Liu. Jay Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Dillon, Stephanie M., Mona Abdo, Jay Liu, et al.. (2021). A Unique Gut Microbiome–Physical Function Axis Exists in Older People with HIV: An Exploratory Study. AIDS Research and Human Retroviruses. 37(7). 542–550. 6 indexed citations

Erlandson, Kristine M., Samantha MaWhinney, Jay Liu, et al.. (2020). The Impact of Moderate or High-Intensity Combined Exercise on Systemic Inflammation Among Older Persons With and Without HIV. The Journal of Infectious Diseases. 223(7). 1161–1170. 10 indexed citations

Liu, Jay, Rachel L. Johnson, Stephanie M. Dillon, et al.. (2019). Among older adults, age-related changes in the stool microbiome differ by HIV-1 serostatus. EBioMedicine. 40. 583–594. 29 indexed citations

Dillon, Stephanie M., Jay Liu, Jon Kibbie, et al.. (2019). Age-related alterations in human gut CD4 T cell phenotype, T helper cell frequencies, and functional responses to enteric bacteria. Journal of Leukocyte Biology. 107(1). 119–132. 21 indexed citations

Zheng, Lei, et al.. (2018). Abstract A203: Generation of human TIM3 knock-in mice for preclinical efficacy assessment of therapeutic antibodies. Molecular Cancer Therapeutics. 17(1_Supplement). A203–A203. 1 indexed citations

Zhang, Fa‐Li, Gang Chen, Jay Liu, et al.. (2016). Clk1 deficiency promotes neuroinflammation and subsequent dopaminergic cell death through regulation of microglial metabolic reprogramming. Brain Behavior and Immunity. 60. 206–219. 48 indexed citations

Rogers, Maximillian A., Jay Liu, Bao‐Liang Song, et al.. (2014). Acyl-CoA:cholesterol acyltransferases (ACATs/SOATs): Enzymes with multiple sterols as substrates and as activators. The Journal of Steroid Biochemistry and Molecular Biology. 151. 102–107. 117 indexed citations

Rogers, Maximillian A., Jay Liu, Mark M. Kushnir, et al.. (2012). Cellular Pregnenolone Esterification by Acyl-CoA:Cholesterol Acyltransferase. Journal of Biological Chemistry. 287(21). 17483–17492. 20 indexed citations

McCauley, John P., Xia Wang, William E. Palmer, et al.. (2011). Multiparameter exploration of piperazine derivatives as δ-opioid receptor agonists for CNS indications. Bioorganic & Medicinal Chemistry Letters. 22(2). 1169–1173. 6 indexed citations

10.

Liu, Jay, Kemal Payza, Jian Huang, et al.. (2009). Discovery and Pharmacological Characterization of a Small-Molecule Antagonist at Neuromedin U Receptor NMUR2. Journal of Pharmacology and Experimental Therapeutics. 330(1). 268–275. 14 indexed citations

11.

Liu, Jay, et al.. (2008). A High-Throughput Functional Assay for Characterization of γ -Aminobutyric Acid _A Channel Modulators Using Cryopreserved Transiently Transfected Cells. Assay and Drug Development Technologies. 6(6). 781–786. 20 indexed citations

12.

Chang, Catherine C.Y., Ruhong Dong, Akira Miyazaki, et al.. (2006). Human Acyl-CoA:cholesterol Acyltransferase (ACAT) and its Potential as a Target for Pharmaceutical Intervention against Atherosclerosis. Acta Biochimica et Biophysica Sinica. 38(3). 151–156. 40 indexed citations

13.

Liu, Jay, Catherine C.Y. Chang, Emily J. Westover, Douglas F. Covey, & Ta‐Yuan Chang. (2005). Investigating the allosterism of acyl-CoA:cholesterol acyltransferase (ACAT) by using various sterols: in vitro and intact cell studies. Biochemical Journal. 391(2). 389–397. 90 indexed citations

14.

Zhang, Yi, Chunjiang Yu, Jay Liu, et al.. (2003). Cholesterol Is Superior to 7-Ketocholesterol or 7α-Hydroxycholesterol as an Allosteric Activator for Acyl-coenzyme A:Cholesterol Acyltransferase 1. Journal of Biological Chemistry. 278(13). 11642–11647. 56 indexed citations

15.

Otte, Stefan, William J. Belden, Matthew Heidtman, et al.. (2001). Erv41p and Erv46p. The Journal of Cell Biology. 152(3). 503–518. 118 indexed citations

16.

Yu, Chunjiang, Jun Chen, Lin Song, et al.. (1999). Human Acyl-CoA:Cholesterol Acyltransferase-1 Is a Homotetrameric Enzyme in Intact Cells and in Vitro. Journal of Biological Chemistry. 274(51). 36139–36145. 64 indexed citations

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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