Jasmine Chen

10.7k total citations · 6 hit papers
16 papers, 9.1k citations indexed

About

Jasmine Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jasmine Chen has authored 16 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Jasmine Chen's work include Peroxisome Proliferator-Activated Receptors (6 papers), Nuclear Receptors and Signaling (4 papers) and Adipose Tissue and Metabolism (4 papers). Jasmine Chen is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (6 papers), Nuclear Receptors and Signaling (4 papers) and Adipose Tissue and Metabolism (4 papers). Jasmine Chen collaborates with scholars based in United States, South Korea and China. Jasmine Chen's co-authors include Barry M. Forman, Ronald M. Evans, Regina P. Brun, Bruce M. Spiegelman, Peter Tontonoz, Lawrence C. Sowers, Haibo Wang, Kazuhiko Umesono, Mick McKeown and Zeyu Jiang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jasmine Chen

16 papers receiving 8.9k citations

Hit Papers

15-Deoxy-Δ12,14-Prostaglandin J2 is a ligand for the adip... 1993 2026 2004 2015 1995 1997 1999 1995 1993 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmine Chen United States 13 5.7k 2.3k 1.7k 1.6k 1.4k 16 9.1k
Derek J. Parks United States 29 4.4k 0.8× 3.5k 1.5× 2.3k 1.3× 1.1k 0.7× 1.8k 1.3× 42 9.5k
Mercedes Ricote Spain 39 7.9k 1.4× 1.1k 0.5× 1.4k 0.8× 2.0k 1.2× 1.1k 0.8× 67 12.1k
Barry M. Forman United States 50 10.4k 1.8× 4.4k 1.9× 2.8k 1.6× 2.7k 1.7× 3.6k 2.6× 79 17.5k
Richard A. Heyman United States 53 11.2k 2.0× 3.5k 1.5× 3.7k 2.2× 1.8k 1.1× 4.5k 3.3× 76 16.2k
Inès Pineda‐Torra United Kingdom 38 4.5k 0.8× 1.5k 0.7× 2.0k 1.2× 1.4k 0.9× 535 0.4× 76 7.7k
Seung‐Hoi Koo South Korea 44 6.2k 1.1× 814 0.4× 2.6k 1.5× 2.0k 1.2× 641 0.5× 96 9.6k
Noam Zelcer Netherlands 43 3.3k 0.6× 3.2k 1.4× 3.1k 1.8× 1.0k 0.6× 454 0.3× 95 8.6k
Thierry Pineau France 38 4.3k 0.8× 1.3k 0.6× 995 0.6× 1.3k 0.8× 680 0.5× 96 8.0k
Timothy F. Osborne United States 61 7.3k 1.3× 2.0k 0.8× 4.8k 2.8× 1.3k 0.8× 1.1k 0.8× 137 12.6k
Elisabetta Mueller United States 31 6.1k 1.1× 1.3k 0.6× 671 0.4× 1.4k 0.9× 663 0.5× 51 8.5k

Countries citing papers authored by Jasmine Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jasmine Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmine Chen

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

All Works

16 of 16 papers shown
1.
Wang, Xudong, Tianxi Wang, Satoshi Kaneko, et al.. (2024). Photoreceptors inhibit pathological retinal angiogenesis through transcriptional regulation of Adam17 via c-Fos. Angiogenesis. 27(3). 379–395. 3 indexed citations
2.
Gu, Long, Jasmine Chen, Timothy W. Synold, Barry M. Forman, & Susan E. Kane. (2013). Bioimaging Real-Time PXR-Dependent mdr1a Gene Regulation in mdr1a.fLUC Reporter Mice. Journal of Pharmacology and Experimental Therapeutics. 345(3). 438–445. 11 indexed citations
3.
Farage, Miranda A., et al.. (2012). Translation and Validation of the Farage Quality of Life (FQoL™) Instrument for Consumer Products into Traditional Chinese. Global Journal of Health Science. 5(1). 1–12. 4 indexed citations
4.
Govek, Steven P., Guy Oshiro, John V. Anzola, et al.. (2010). Water-soluble PDE4 inhibitors for the treatment of dry eye. Bioorganic & Medicinal Chemistry Letters. 20(9). 2928–2932. 16 indexed citations
5.
Dussault, Isabelle, et al.. (2003). Identification of Gene-selective Modulators of the Bile Acid Receptor FXR. Journal of Biological Chemistry. 278(9). 7027–7033. 89 indexed citations
6.
Bruemmer, Dennis, Fen Yin, Joey Liu, et al.. (2003). Peroxisome Proliferator-Activated Receptor γ Inhibits Expression of Minichromosome Maintenance Proteins in Vascular Smooth Muscle Cells. Molecular Endocrinology. 17(6). 1005–1018. 28 indexed citations
7.
Wang, Nanping, Lynne Verna, Jasmine Chen, et al.. (2002). Constitutive Activation of Peroxisome Proliferator-activated Receptor-γ Suppresses Pro-inflammatory Adhesion Molecules in Human Vascular Endothelial Cells. Journal of Biological Chemistry. 277(37). 34176–34181. 192 indexed citations
8.
Wang, Haibo, et al.. (1999). Endogenous Bile Acids Are Ligands for the Nuclear Receptor FXR/BAR. Molecular Cell. 3(5). 543–553. 1343 indexed citations breakdown →
9.
Forman, Barry M., Iphigenia Tzameli, Hueng‐Sik Choi, et al.. (1998). Androstane metabolites bind to and deactivate the nuclear receptor CAR-β. Nature. 395(6702). 612–615. 401 indexed citations
10.
Forman, Barry M., Benfang Helen Ruan, Jasmine Chen, George J. Schroepfer, & Ronald M. Evans. (1997). The orphan nuclear receptor LXRα is positively and negatively regulated by distinct products of mevalonate metabolism. Proceedings of the National Academy of Sciences. 94(20). 10588–10593. 225 indexed citations
11.
Forman, Barry M., Jasmine Chen, & Ronald M. Evans. (1997). Hypolipidemic drugs, polyunsaturated fatty acids, and eicosanoids are ligands for peroxisome proliferator-activated receptors α and δ. Proceedings of the National Academy of Sciences. 94(9). 4312–4317. 1788 indexed citations breakdown →
12.
Forman, Barry M., Jasmine Chen, & Ronald M. Evans. (1996). The Peroxisome Proliferator‐activated Receptors: Ligands and Activatorsa. Annals of the New York Academy of Sciences. 804(1). 266–275. 185 indexed citations
13.
Forman, Barry M., Kazuhiko Umesono, Jasmine Chen, & Ronald M. Evans. (1995). Unique response pathways are established by allosteric interactions among nuclear hormone receptors. Cell. 81(4). 541–550. 547 indexed citations breakdown →
14.
Forman, Barry M., Elizabeth C. Goode, Jasmine Chen, et al.. (1995). Identification of a nuclear receptor that is activated by farnesol metabolites. Cell. 81(5). 687–693. 989 indexed citations breakdown →
15.
Forman, Barry M., Peter Tontonoz, Jasmine Chen, et al.. (1995). 15-Deoxy-Δ12,14-Prostaglandin J2 is a ligand for the adipocyte determination factor PPARγ. Cell. 83(5). 803–812. 2524 indexed citations breakdown →
16.
Yao, Tso‐Pang, Barry M. Forman, Zeyu Jiang, et al.. (1993). Functional ecdysone receptor is the product of EcR and Ultraspiracle genes. Nature. 366(6454). 476–479. 766 indexed citations breakdown →

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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