Jack Wong

890 total citations
9 papers, 736 citations indexed

About

Jack Wong is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jack Wong has authored 9 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jack Wong's work include Peroxisome Proliferator-Activated Receptors (6 papers), Cholesterol and Lipid Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Jack Wong is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Cholesterol and Lipid Metabolism (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Jack Wong collaborates with scholars based in United States and Poland. Jack Wong's co-authors include Aldons J. Lusis, Xuping Wang, Margarete Mehrabian, Zory Shaposhnik, Colin Funk, Hooman Allayee, Diana M. Shih, Weibin Shi, Alan M. Fogelman and Berenice Barajas and has published in prestigious journals such as Circulation Research, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Jack Wong

9 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jack Wong United States	9	318	242	182	123	118	9	736
Melissa E. Hatley United States	9	320 1.0×	206 0.9×	97 0.5×	85 0.7×	45 0.4×	9	639
Keiichiro Matoba Japan	18	480 1.5×	134 0.6×	166 0.9×	154 1.3×	81 0.7×	41	1.2k
Kiyoshi Mizuguchi Japan	18	200 0.6×	209 0.9×	153 0.8×	175 1.4×	108 0.9×	42	1.1k
Tamehachi Namikoshi Japan	18	306 1.0×	220 0.9×	141 0.8×	57 0.5×	135 1.1×	25	1.3k
K. Rühling Germany	10	151 0.5×	176 0.7×	147 0.8×	83 0.7×	44 0.4×	20	629
Felicia Y. T. Yap Australia	12	209 0.7×	92 0.4×	266 1.5×	148 1.2×	124 1.1×	15	1.0k
Wendy S. Rosebury United States	11	496 1.6×	128 0.5×	265 1.5×	97 0.8×	23 0.2×	15	837
B Paigen United States	4	248 0.8×	162 0.7×	333 1.8×	168 1.4×	142 1.2×	5	781
Zhonggao Xu China	12	722 2.3×	120 0.5×	91 0.5×	80 0.7×	58 0.5×	18	1.2k

Countries citing papers authored by Jack Wong

Since Specialization

Citations

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

Fields of papers citing papers by Jack Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Wong. A scholar is included among the top collaborators of Jack Wong 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 Jack Wong. Jack Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Orozco, Luz D., Matthias Kapturczak, Berenice Barajas, et al.. (2007). Heme Oxygenase-1 Expression in Macrophages Plays a Beneficial Role in Atherosclerosis. Circulation Research. 100(12). 1703–1711. 158 indexed citations

Shih, Diana M., Heidi R. Kast-Woelbern, Jack Wong, et al.. (2005). A role for FXR and human FGF-19 in the repression of paraoxonase-1 gene expression by bile acids. Journal of Lipid Research. 47(2). 384–392. 40 indexed citations

Shi, Weibin, Xuping Wang, Jack Wong, et al.. (2004). Effect of macrophage-derived apolipoprotein E on hyperlipidemia and atherosclerosis of LDLR-deficient mice. Biochemical and Biophysical Research Communications. 317(1). 223–229. 18 indexed citations

Wang, Xuping, Peter S. Gargalovic, Jack Wong, et al.. (2004). Hyplip2 , a New Gene for Combined Hyperlipidemia and Increased Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 24(10). 1928–1934. 18 indexed citations

Shi, Weibin, Xuping Wang, Jack Wong, et al.. (2003). Genetic Backgrounds but Not Sizes of Atherosclerotic Lesions Determine Medial Destruction in the Aortic Root of Apolipoprotein E–Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 23(10). 1901–1906. 27 indexed citations

Mehrabian, Margarete, Hooman Allayee, Jack Wong, et al.. (2002). Identification of 5-Lipoxygenase as a Major Gene Contributing to Atherosclerosis Susceptibility in Mice. Circulation Research. 91(2). 120–126. 329 indexed citations

Shi, Weibin, et al.. (2002). Atherosclerosis in C3H/HeJ Mice Reconstituted With Apolipoprotein E-Null Bone Marrow. Arteriosclerosis Thrombosis and Vascular Biology. 22(4). 650–655. 23 indexed citations

Mehrabian, Margarete, Jack Wong, Xuping Wang, et al.. (2001). Genetic Locus in Mice That Blocks Development of Atherosclerosis Despite Extreme Hyperlipidemia. Circulation Research. 89(2). 125–130. 69 indexed citations

Mehrabian, Margarete, Lawrence W. Castellani, Ping-Zi Wen, et al.. (2000). Genetic control of HDL levels and composition in an interspecific mouse cross (CAST/Ei × C57BL/6J). Journal of Lipid Research. 41(12). 1936–1946. 54 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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