Yi‐Tang Tseng

744 total citations
19 papers, 583 citations indexed

About

Yi‐Tang Tseng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Yi‐Tang Tseng has authored 19 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Genetics. Recurrent topics in Yi‐Tang Tseng's work include Receptor Mechanisms and Signaling (6 papers), Estrogen and related hormone effects (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Yi‐Tang Tseng is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Estrogen and related hormone effects (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Yi‐Tang Tseng collaborates with scholars based in United States, Japan and China. Yi‐Tang Tseng's co-authors include James F. Padbury, Naohiro Yano, Bethany McGonnigal, Ting C. Zhao, Yan Xu, Masayuki Endoh, Sunil K. Shaw, Weizhi Zhang, Minzi Deng and Quanfu Mao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Yi‐Tang Tseng

19 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Tang Tseng United States 15 310 169 77 66 54 19 583
Zhiyu Yang Australia 17 286 0.9× 64 0.4× 86 1.1× 87 1.3× 43 0.8× 41 701
Caterina Camastra Italy 17 187 0.6× 89 0.5× 67 0.9× 85 1.3× 77 1.4× 24 739
Austin C. Boese United States 14 338 1.1× 77 0.5× 74 1.0× 68 1.0× 76 1.4× 19 797
Steve M. Helmke United States 18 457 1.5× 127 0.8× 49 0.6× 145 2.2× 62 1.1× 47 968
Hideaki Kusaka Japan 19 474 1.5× 126 0.7× 110 1.4× 40 0.6× 213 3.9× 36 1.1k
Pamela A. Harvey United States 11 283 0.9× 300 1.8× 60 0.8× 155 2.3× 88 1.6× 15 793
Mousumi Bhattacharya Canada 11 398 1.3× 76 0.4× 77 1.0× 139 2.1× 153 2.8× 15 883
Darla L. Tharp United States 12 319 1.0× 244 1.4× 21 0.3× 55 0.8× 147 2.7× 27 630
Hong Zeng China 11 166 0.5× 89 0.5× 43 0.6× 48 0.7× 20 0.4× 31 421
Yusuke Fukuda Japan 12 233 0.8× 49 0.3× 147 1.9× 54 0.8× 84 1.6× 41 640

Countries citing papers authored by Yi‐Tang Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Tang Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Tang Tseng. 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 Yi‐Tang Tseng. The network helps show where Yi‐Tang Tseng may publish in the future.

Co-authorship network of co-authors of Yi‐Tang Tseng

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

All Works

19 of 19 papers shown
1.
Huang, Chih‐Yang, et al.. (2021). Structural Analysis and Performance in a Dual‐Mechanism Conductive Filament Memristor. Advanced Electronic Materials. 7(10). 33 indexed citations
2.
Gray, Alexander, D. Grahame Hardie, Alper Uzun, et al.. (2017). A novel, de novo mutation in the PRKAG2 gene: infantile-onset phenotype and the signaling pathway involved. American Journal of Physiology-Heart and Circulatory Physiology. 313(2). H283–H292. 15 indexed citations
3.
4.
Moore, Richard G., Emily K. Hill, Naohiro Yano, et al.. (2014). HE4 (WFDC2) gene overexpression promotes ovarian tumor growth. Scientific Reports. 4(1). 3574–3574. 72 indexed citations
5.
Yano, Naohiro, Daisuke Suzuki, Masayuki Endoh, et al.. (2012). In vitro silencing of the insulin receptor attenuates cellular accumulation of fibronectin in renal mesangial cells. Cell Communication and Signaling. 10(1). 29–29. 6 indexed citations
6.
Yang, Kai‐Chien, Yi‐Tang Tseng, & Jeanne M. Nerbonne. (2012). Exercise training and PI3Kα-induced electrical remodeling is independent of cellular hypertrophy and Akt signaling. Journal of Molecular and Cellular Cardiology. 53(4). 532–541. 16 indexed citations
7.
Zhang, Weizhi, Naohiro Yano, Minzi Deng, et al.. (2011). β-Adrenergic Receptor-PI3K Signaling Crosstalk in Mouse Heart: Elucidation of Immediate Downstream Signaling Cascades. PLoS ONE. 6(10). e26581–e26581. 47 indexed citations
8.
Yano, Naohiro, Daisuke Suzuki, Masayuki Endoh, et al.. (2009). High ambient glucose induces angiotensin-independent AT-1 receptor activation, leading to increases in proliferation and extracellular matrix accumulation in MES-13 mesangial cells. Biochemical Journal. 423(1). 129–143. 27 indexed citations
9.
Yano, Naohiro, et al.. (2008). Temporally controlled overexpression of cardiac-specific PI3Kα induces enhanced myocardial contractility—a new transgenic model. American Journal of Physiology-Heart and Circulatory Physiology. 295(4). H1690–H1694. 34 indexed citations
10.
Yano, Naohiro, Daisuke Suzuki, Masayuki Endoh, et al.. (2008). β-Adrenergic Receptor Mediated Protection against Doxorubicin-Induced Apoptosis in Cardiomyocytes: The Impact of High Ambient Glucose. Endocrinology. 149(12). 6449–6461. 17 indexed citations
11.
Yano, Naohiro, et al.. (2007). A novel signaling pathway for β-adrenergic receptor-mediated activation of phosphoinositide 3-kinase in H9c2 cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 293(1). H385–H393. 38 indexed citations
12.
Yano, Naohiro, Daisuke Suzuki, Masayuki Endoh, et al.. (2007). A Novel Phosphoinositide 3-Kinase-dependent Pathway for Angiotensin II/AT-1 Receptor-mediated Induction of Collagen Synthesis in MES-13 Mesangial Cells. Journal of Biological Chemistry. 282(26). 18819–18830. 43 indexed citations
13.
Tseng, Yi‐Tang, et al.. (2005). Ontogeny of phosphoinositide 3-kinase signaling in developing heart: effect of acute β-adrenergic stimulation. American Journal of Physiology-Heart and Circulatory Physiology. 289(5). H1834–H1842. 30 indexed citations
14.
Wagner, Eric F., Nazeeh Hanna, Li X, et al.. (2004). Evidence for Cyclin D3 as a Novel Target of Rapamycin in Human T Lymphocytes. Journal of Biological Chemistry. 279(30). 31948–31955. 39 indexed citations
15.
Wadhawan, Rajan, et al.. (2003). Regulation of cardiac β1-adrenergic receptor transcription during the developmental transition. American Journal of Physiology-Heart and Circulatory Physiology. 284(6). H2146–H2152. 7 indexed citations
16.
Tseng, Yi‐Tang, et al.. (2002). Molecular interactions between glucocorticoid and catecholamine signaling pathways. Journal of Allergy and Clinical Immunology. 110(6). S247–S254. 4 indexed citations
17.
Tseng, Yi‐Tang, et al.. (2001). A novel glucocorticoid regulatory unit mediates the hormone responsiveness of the β1-adrenergic receptor gene. Molecular and Cellular Endocrinology. 181(1-2). 165–178. 20 indexed citations
18.
Tseng, Yi‐Tang, et al.. (2001). Liganded and Unliganded Steroid Receptor Modulation of Beta 1 Adrenergic Receptor Gene Transcription. Pediatric Research. 50(5). 575–580. 7 indexed citations
19.
Padbury, James F., et al.. (1997). Placental biogenic amine transporters: cloning and expression. Molecular Brain Research. 45(1). 163–168. 33 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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