Tie-Yan Han

2.4k total citations
21 papers, 2.1k citations indexed

About

Tie-Yan Han is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tie-Yan Han has authored 21 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tie-Yan Han's work include Sphingolipid Metabolism and Signaling (10 papers), Ion channel regulation and function (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). Tie-Yan Han is often cited by papers focused on Sphingolipid Metabolism and Signaling (10 papers), Ion channel regulation and function (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). Tie-Yan Han collaborates with scholars based in United States, Israel and United Kingdom. Tie-Yan Han's co-authors include Myles C. Cabot, Armando E. Giuliano, Yu Liu, Kenneth D. Philipson, Joshua I. Goldhaber, Scott A. Henderson, Robert S. Ross, Anthony Lucci, Yaakov Lavie and Nora Hansen and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Circulation Research.

In The Last Decade

Tie-Yan Han

21 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tie-Yan Han United States 20 1.8k 505 453 247 225 21 2.1k
William D. Singer United States 20 2.3k 1.3× 276 0.5× 106 0.2× 746 3.0× 295 1.3× 26 2.8k
Péter Erhardt United States 23 1.9k 1.0× 549 1.1× 125 0.3× 424 1.7× 205 0.9× 28 2.5k
Jiing-Dwan Lee United States 20 1.8k 1.0× 340 0.7× 170 0.4× 324 1.3× 149 0.7× 22 2.3k
M. Koji Owada Japan 21 857 0.5× 129 0.3× 302 0.7× 261 1.1× 83 0.4× 43 1.8k
Dagfinn Øgreid Norway 23 1.1k 0.6× 269 0.5× 79 0.2× 70 0.3× 171 0.8× 50 1.5k
Richard A. Jungmann United States 22 1.6k 0.9× 242 0.5× 68 0.2× 201 0.8× 130 0.6× 55 2.2k
Twila A. Jackson United States 16 1.3k 0.7× 378 0.7× 99 0.2× 60 0.2× 151 0.7× 23 2.1k
George Kulik United States 22 1.7k 1.0× 568 1.1× 54 0.1× 159 0.6× 244 1.1× 38 2.7k
Ju-Jun Xie China 27 1.5k 0.8× 378 0.7× 51 0.1× 147 0.6× 105 0.5× 42 2.5k

Countries citing papers authored by Tie-Yan Han

Since Specialization
Citations

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

Fields of papers citing papers by Tie-Yan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie-Yan Han. 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 Tie-Yan Han. The network helps show where Tie-Yan Han may publish in the future.

Co-authorship network of co-authors of Tie-Yan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Tie-Yan Han. A scholar is included among the top collaborators of Tie-Yan Han 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 Tie-Yan Han. Tie-Yan Han 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.
Byon, Chang Hyun, Tie-Yan Han, Judy Wu, & Simon T. Hui. (2015). Txnip ablation reduces vascular smooth muscle cell inflammation and ameliorates atherosclerosis in apolipoprotein E knockout mice. Atherosclerosis. 241(2). 313–321. 55 indexed citations
2.
Jordan, Maria C., Scott A. Henderson, Tie-Yan Han, et al.. (2010). Myocardial Function With Reduced Expression of the Sodium-Calcium Exchanger. Journal of Cardiac Failure. 16(9). 786–796. 35 indexed citations
3.
Roos, Kenneth P., Maria C. Jordan, Michael C. Fishbein, et al.. (2007). Hypertrophy and Heart Failure in Mice Overexpressing the Cardiac Sodium-Calcium Exchanger. Journal of Cardiac Failure. 13(4). 318–329. 52 indexed citations
4.
Henderson, Scott A., Joshua I. Goldhaber, Tie-Yan Han, et al.. (2004). Functional Adult Myocardium in the Absence of Na + -Ca 2+ Exchange. Circulation Research. 95(6). 604–611. 151 indexed citations
5.
Gouazé‐Andersson, Valérie, Jing Yu, Richard J. Bleicher, et al.. (2004). Overexpression of glucosylceramide synthase and P-glycoprotein in cancer cells selected for resistance to natural product chemotherapy. Molecular Cancer Therapeutics. 3(5). 633–640. 112 indexed citations
6.
Reuter, Hannes, et al.. (2003). Mice overexpressing the cardiac sodium‐calcium exchanger: defects in excitation–contraction coupling. The Journal of Physiology. 554(3). 779–789. 44 indexed citations
7.
Reuter, Hannes, Scott A. Henderson, Tie-Yan Han, et al.. (2003). Cardiac excitation–contraction coupling in the absence of Na+–Ca2+ exchange. Cell Calcium. 34(1). 19–26. 38 indexed citations
8.
Reuter, Hannes, Scott A. Henderson, Tie-Yan Han, et al.. (2002). The Na + -Ca 2+ Exchanger Is Essential for the Action of Cardiac Glycosides. Circulation Research. 90(3). 305–308. 145 indexed citations
9.
Reuter, Hannes, Scott A. Henderson, Tie-Yan Han, et al.. (2002). Knockout Mice for Pharmacological Screening. Circulation Research. 91(2). 90–92. 120 indexed citations
10.
Charles, Anthony, et al.. (2001). Taxol-induced ceramide generation and apoptosis in human breast cancer cells. Cancer Chemotherapy and Pharmacology. 47(5). 444–450. 114 indexed citations
11.
12.
Liu, Yu, Tie-Yan Han, Armando E. Giuliano, Nora Hansen, & Myles C. Cabot. (2000). Uncoupling Ceramide Glycosylation by Transfection of Glucosylceramide Synthase Antisense Reverses Adriamycin Resistance. Journal of Biological Chemistry. 275(10). 7138–7143. 111 indexed citations
13.
Lucci, Anthony, Tie-Yan Han, Yu Liu, Armando E. Giuliano, & Myles C. Cabot. (1999). Multidrug resistance modulators and doxorubicin synergize to elevate ceramide levels and elicit apoptosis in drug-resistant cancer cells. Cancer. 86(2). 300–311. 69 indexed citations
14.
Liu, Yu, Tie-Yan Han, Armando E. Giuliano, & Myles C. Cabot. (1999). Expression of Glucosylceramide Synthase, Converting Ceramide to Glucosylceramide, Confers Adriamycin Resistance in Human Breast Cancer Cells. Journal of Biological Chemistry. 274(2). 1140–1146. 241 indexed citations
15.
Cabot, Myles C., Armando E. Giuliano, Tie-Yan Han, & Yu Liu. (1999). SDZ PSC 833, the cyclosporine A analogue and multidrug resistance modulator, activates ceramide synthesis and increases vinblastine sensitivity in drug-sensitive and drug-resistant cancer cells.. PubMed. 59(4). 880–5. 76 indexed citations
16.
Cabot, Myles C., Tie-Yan Han, & Armando E. Giuliano. (1998). The multidrug resistance modulator SDZ PSC 833 is a potent activator of cellular ceramide formation. FEBS Letters. 431(2). 185–188. 50 indexed citations
17.
Lavie, Yaakov, Hui-Ting Cao, Tie-Yan Han, et al.. (1998). Tamoxifen induces selective membrane association of protein kinase C epsilon in MCF-7 human breast cancer cells. International Journal of Cancer. 77(6). 928–932. 45 indexed citations
18.
19.
Cabot, Myles C., et al.. (1997). Tamoxifen activates cellular phopholipase C and D and elicits protein kinase C translocation. International Journal of Cancer. 70(5). 567–574. 39 indexed citations
20.
Cabot, Myles C., et al.. (1996). Tamoxifen retards glycosphingolipid metabolism in human cancer cells. FEBS Letters. 394(2). 129–131. 72 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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