Jang‐Yen Wu

11.7k total citations
187 papers, 10.0k citations indexed

About

Jang‐Yen Wu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Jang‐Yen Wu has authored 187 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Cellular and Molecular Neuroscience, 64 papers in Molecular Biology and 50 papers in Physiology. Recurrent topics in Jang‐Yen Wu's work include Neuroscience and Neuropharmacology Research (100 papers), Biochemical effects in animals (31 papers) and Aldose Reductase and Taurine (26 papers). Jang‐Yen Wu is often cited by papers focused on Neuroscience and Neuropharmacology Research (100 papers), Biochemical effects in animals (31 papers) and Aldose Reductase and Taurine (26 papers). Jang‐Yen Wu collaborates with scholars based in United States, Japan and Taiwan. Jang‐Yen Wu's co-authors include Howard Prentice, Eugene Roberts, Toshio Kosaka, Victoria Chan‐Palay, Tomas Hökfelt, Kiyoshi Hama, Kihachi Saito, Steven R. Vincent, Christer K�hler and Jianning Wei and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jang‐Yen Wu

183 papers receiving 9.7k citations

Peers

Jang‐Yen Wu

CMN

PHYSI

Jay M. Baraban United States

John F. MacDonald Canada

Jean‐Martin Beaulieu Canada

Günther Sperk Austria

R. Suzanne Zukin United States

Soren Impey United States

Esa R. Korpi Finland

Hilmar Bading Germany

Eric Delpire United States

Sven Ove Ögren Sweden

Jay M. Baraban United States

Jang‐Yen Wu

7.4k ×1.2

CMN

8.4k ×2.2

1.4k ×0.7

PHYSI

1.2k ×0.8

1.7k ×1.1

Citations per year, relative to Jang‐Yen Wu Jang‐Yen Wu (= 1×) peers Jay M. Baraban

Countries citing papers authored by Jang‐Yen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jang‐Yen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jang‐Yen Wu. 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 Jang‐Yen Wu. The network helps show where Jang‐Yen Wu may publish in the future.

Co-authorship network of co-authors of Jang‐Yen Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Y. S., et al.. (2025). Unveiling the glymphatic system’s impact on neurodegenerative diseases: a comprehensive bibliometric analysis (2012–2024). Frontiers in Aging Neuroscience. 17. 1598608–1598608.

Chen, Lu, et al.. (2021). The role of G-CSF neuroprotective effects in neonatal hypoxic-ischemic encephalopathy (HIE): current status. Journal of Neuroinflammation. 18(1). 55–55. 24 indexed citations

Modi, Jigar, Andrew F. Bent, Paula Trujillo, et al.. (2020). Granulocyte-colony stimulating factor gene therapy as a novel therapeutics for stroke in a mouse model. Journal of Biomedical Science. 27(1). 99–99. 24 indexed citations

Modi, Jigar, et al.. (2020). Mode of action of granulocyte-colony stimulating factor (G-CSF) as a novel therapy for stroke in a mouse model. Journal of Biomedical Science. 27(1). 19–19. 45 indexed citations

Jong, Chian Ju, Takashi Ito, Howard Prentice, Jang‐Yen Wu, & Stephen Schaffer. (2017). Role of Mitochondria and Endoplasmic Reticulum in Taurine-Deficiency-Mediated Apoptosis. Nutrients. 9(8). 795–795. 64 indexed citations

Modi, Jigar, Howard Prentice, & Jang‐Yen Wu. (2015). Regulation of GABA Neurotransmission by Glutamic Acid Decarboxylase (GAD). Current Pharmaceutical Design. 21(34). 4939–4942. 13 indexed citations

Ma, Zhiyuan, Eric M. Cohen, Rui Tao, et al.. (2010). Post-MPTP Treatment with Granulocyte Colony-Stimulating Factor Improves Nigrostriatal Function in the Mouse Model of Parkinson’s Disease. Molecular Neurobiology. 41(2-3). 410–419. 24 indexed citations

Wei, Jianning, Chunhua Lin, Heng Wu, et al.. (2006). Activity‐dependent cleavage of brain glutamic acid decarboxylase 65 by calpain. Journal of Neurochemistry. 98(5). 1688–1695. 14 indexed citations

Lee, Yih‐Jing, et al.. (2004). Role of N‐methyl‐D‐aspartate receptors in gastric mucosal blood flow induced by histamine. Journal of Neuroscience Research. 77(5). 730–738. 7 indexed citations

10.

Wei, Jianning, Ying Jin, Heng Wu, Di Sha, & Jang‐Yen Wu. (2003). Identification and Functional Analysis of Truncated Human Glutamic Acid Decarboxylase 65. Journal of Biomedical Science. 10(6). 617–624. 17 indexed citations

11.

Ningaraj, Nagendra S., Weiqing Chen, John V. Schloss, Morris D. Faiman, & Jang‐Yen Wu. (2001). S-Methyl-N,N-Diethylthiocarbamate Sulfoxide Elicits Neuroprotective Effect against N-Methyl-<i>D</i>-Aspartate Receptor-Mediated Neurotoxicity. Journal of Biomedical Science. 8(1). 104–113. 10 indexed citations

12.

Bao, Jun, et al.. (1994). Role of protein phosphorylation in regulation of brainL-glutamate decarboxylase activity. Journal of Biomedical Science. 1(4). 237–244. 21 indexed citations

13.

Medina‐Kauwe, Lali K., Niranjala J.K. Tillakaratne, Jang‐Yen Wu, & Allan J. Tobin. (1994). A Rat Brain cDNA Encodes Enzymatically Active GABA Transaminase and Provides a Molecular Probe for GABA‐Catabolizing Cells. Journal of Neurochemistry. 62(4). 1267–1275. 20 indexed citations

14.

Wu, Jang‐Yen, et al.. (1991). Structure and function ofl-glutamate decarboxylase. Neurochemical Research. 16(3). 227–233. 10 indexed citations

15.

Hwang, Bang H., et al.. (1990). Increased density of glutamic acid decarboxylase—containing terminals in the medial preoptic nucleus and the area surrounding the paraventricular hypothalamic nucleus is associated with deoxycorticosterone acetate (DOCA)‐salt hypertension. The Anatomical Record. 227(4). 518–522. 5 indexed citations

16.

Hwang, Bang H., Lawrence Lumeng, Jang‐Yen Wu, & Ting‐Kai Li. (1990). Increased Number of GABAergic Terminals in the Nucleus Accumbens Is Associated with Alcohol Preference in Rats. Alcoholism Clinical and Experimental Research. 14(4). 503–507. 57 indexed citations

17.

Bradford, H. F., Maureen Docherty, Jang‐Yen Wu, et al.. (1989). The immunolysis, isolation, and properties of subpopulations of mammalian brain synaptosomes. Neurochemical Research. 14(4). 301–310. 12 indexed citations

18.

Westenbroek, R., L.E. Westrum, Anita E. Hendrickson, & Jang‐Yen Wu. (1988). Ultrastructural localization of immunoreactivity in the developing piriform cortex. The Journal of Comparative Neurology. 274(3). 319–333. 16 indexed citations

19.

Engbretson, Gustav A., et al.. (1988). GABA as a potential transmitter in lizard photoreceptors: Immunocytochemical and biochemical evidence. The Journal of Comparative Neurology. 278(3). 461–471. 13 indexed citations

20.

Lam, Dominic Man-Kit, et al.. (1980). Retinal organization: Neurotransmitters as physiological probes. Neurochemistry International. 1. 183–190. 14 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.

Explore authors with similar magnitude of impact