Jay Yang

4.6k total citations · 1 hit paper
125 papers, 3.8k citations indexed

About

Jay Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jay Yang has authored 125 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 56 papers in Cellular and Molecular Neuroscience and 13 papers in Physiology. Recurrent topics in Jay Yang's work include Ion channel regulation and function (36 papers), Neuroscience and Neuropharmacology Research (36 papers) and Receptor Mechanisms and Signaling (17 papers). Jay Yang is often cited by papers focused on Ion channel regulation and function (36 papers), Neuroscience and Neuropharmacology Research (36 papers) and Receptor Mechanisms and Signaling (17 papers). Jay Yang collaborates with scholars based in United States, Japan and China. Jay Yang's co-authors include R W Olsen, Richard W. Ransom, Maya Mikami, Charles F. Zorumski, C. F. Zorumski, Sundeep Malik, Jun‐ichi Abe, I. Uchida, Takahiro Takano and Maiken Nedergaard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Jay Yang

120 papers receiving 3.7k citations

Hit Papers

Effect of pemvidutide, a GLP-1/glucagon dual receptor ago... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Yang United States 38 2.3k 1.5k 403 278 209 125 3.8k
Masahisa Yamada Japan 33 2.3k 1.0× 1.8k 1.2× 488 1.2× 167 0.6× 173 0.8× 58 3.7k
Rafael Coveñas Spain 33 1.5k 0.7× 2.3k 1.5× 490 1.2× 403 1.4× 95 0.5× 245 4.1k
Kazutoshi Kiuchi Japan 33 1.8k 0.8× 1.6k 1.0× 489 1.2× 227 0.8× 150 0.7× 127 3.8k
Kohji Sato Japan 38 1.9k 0.8× 1.8k 1.2× 697 1.7× 268 1.0× 169 0.8× 138 4.4k
Elizabeth A. Jonas United States 36 3.7k 1.6× 990 0.7× 528 1.3× 144 0.5× 158 0.8× 78 5.0k
Jitendra R. Dave United States 31 1.5k 0.7× 909 0.6× 349 0.9× 138 0.5× 141 0.7× 82 3.5k
Rainer Haberberger Germany 32 1.4k 0.6× 847 0.6× 748 1.9× 188 0.7× 115 0.6× 88 2.7k
Masayuki Itoh Japan 32 1.6k 0.7× 801 0.5× 745 1.8× 143 0.5× 132 0.6× 151 3.4k
Eitan Friedman United States 29 1.3k 0.5× 1.1k 0.7× 475 1.2× 108 0.4× 152 0.7× 60 3.2k
Guojun Chen China 33 1.8k 0.8× 1.2k 0.8× 778 1.9× 121 0.4× 137 0.7× 130 3.5k

Countries citing papers authored by Jay Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jay Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Yang

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

All Works

20 of 20 papers shown
1.
2.
Taki, Masumi, et al.. (2024). ARCaDia: single-round screening of a DNA-type targeted covalent binder possessing a latent warhead. Chemical Communications. 60(100). 14964–14967. 1 indexed citations
3.
Harrison, Stephen A., Sarah Browne, John J. Suschak, et al.. (2024). Effect of pemvidutide, a GLP-1/glucagon dual receptor agonist, on MASLD: A randomized, double-blind, placebo-controlled study. Journal of Hepatology. 82(1). 7–17. 65 indexed citations breakdown →
5.
Lau, Chi Wai, et al.. (2018). The human GCOM1 complex gene interacts with the NMDA receptor and internexin-alpha. Gene. 648. 42–53. 6 indexed citations
6.
Chen, Xi, et al.. (2017). dCas9-mediated transcriptional activation of tissue inhibitor of metalloproteinases. PubMed. Volume 4. 63–73. 6 indexed citations
7.
Taki, Masumi, et al.. (2016). Selection of Color-Changing and Intensity-Increasing Fluorogenic Probe as Protein-Specific Indicator Obtained via the 10BASEd-T. Analytical Chemistry. 88(2). 1096–1099. 10 indexed citations
8.
Kawakami, Tomoko, et al.. (2012). Extracellular-regulated-kinase 5-mediated renal protection against ischemia–reperfusion injury. Biochemical and Biophysical Research Communications. 418(4). 603–608. 8 indexed citations
9.
Mikami, Maya, et al.. (2008). β-adrenoceptor blockers protect against staurosporine-induced apoptosis in SH-SY5Y neuroblastoma cells. European Journal of Pharmacology. 589(1-3). 14–21. 15 indexed citations
10.
Gallos, George, Neil R. Gleason, Yi Zhang, et al.. (2008). Activation of endogenous GABAA channels on airway smooth muscle potentiates isoproterenol-mediated relaxation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 295(6). L1040–L1047. 29 indexed citations
11.
Kim, Ha Won, Kiyoshi Ozumi, Shinichi Itoh, et al.. (2007). Abstract 992: Novel Role of Copper-dependent Transcription Factor Antioxidant-1 in Cell Proliferation and Wound Healing. Circulation. 116(suppl_16). 1 indexed citations
12.
Seo, Sung Wook, Dae Won Kim, Theodore A. Blaine, et al.. (2007). Orthopedic Implant Particle‐Induced Tumor Necrosis Factor‐α Production in Macrophage–Monocyte Lineage Cells Is Mediated by Nuclear Factor of Activated T Cells. Annals of the New York Academy of Sciences. 1117(1). 143–150. 16 indexed citations
13.
Seo, Sung Wook, Daniel Lee, Samuel K. Cho, et al.. (2007). ERK Signaling Regulates Macrophage Colony‐Stimulating Factor Expression Induced by Titanium Particles in MC3T3.E1 Murine Calvarial Preosteoblastic Cells. Annals of the New York Academy of Sciences. 1117(1). 151–158. 12 indexed citations
14.
Wu, Christopher L., Mary G. Garry, Raymond A. Zollo, & Jay Yang. (2001). Gene Therapy for the Management of Pain. Anesthesiology. 94(6). 1119–1132. 18 indexed citations
15.
Cestari, Ismar N., et al.. (2000). Identification of an Amino Acid Defining the Distinct Properties of Murine β1 and β3 Subunit‐Containing GABAA Receptors. Journal of Neurochemistry. 74(2). 827–838. 29 indexed citations
16.
Uchida, Ichirō & Jay Yang. (1995). Excision-activated chloride channels in cultured postnatal rat hippocampal neurons. Neuroscience Letters. 200(3). 159–162. 2 indexed citations
17.
Isenberg, Keith, et al.. (1993). Partial cDNA cloning and NGF regulation of a rat 5-HT3 receptor subunit. Neuroreport. 5(2). 121–124. 51 indexed citations
18.
Baker, Keith, et al.. (1988). α-Substituted thiobutyrolactones potentiate GABA currents in voltage-clamped chick spinal cord neurons. Neuroscience Letters. 87(1-2). 133–138. 15 indexed citations
19.
Johansen, Jørgen, Jay Yang, & A. L. Kleinhaus. (1987). Voltage-clamp analysis of the ionic conductances in a leech neuron with a purely calcium-dependent action potential. Journal of Neurophysiology. 58(6). 1468–1484. 21 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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