Tie-Shan Tang

3.7k total citations
22 papers, 2.9k citations indexed

About

Tie-Shan Tang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Tie-Shan Tang has authored 22 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Tie-Shan Tang's work include DNA Repair Mechanisms (10 papers), Mitochondrial Function and Pathology (7 papers) and Genetic Neurodegenerative Diseases (7 papers). Tie-Shan Tang is often cited by papers focused on DNA Repair Mechanisms (10 papers), Mitochondrial Function and Pathology (7 papers) and Genetic Neurodegenerative Diseases (7 papers). Tie-Shan Tang collaborates with scholars based in United States, China and Japan. Tie-Shan Tang's co-authors include Ilya Bezprozvanny, Huiping Tu, Caixia Guo, Xi Chen, Errol C. Friedberg, Zhennan Wang, Michael R. Hayden, Anton Maximov, Omar L. Nelson and Cheryl L. Wellington and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tie-Shan Tang

22 papers receiving 2.9k 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-Shan Tang United States 21 2.3k 1.5k 456 357 272 22 2.9k
Seung Kwak United States 32 1.8k 0.8× 1.1k 0.8× 314 0.7× 316 0.9× 128 0.5× 55 2.7k
Ignacio Muñoz-Sanjuán United States 29 2.4k 1.0× 1.2k 0.8× 470 1.0× 267 0.7× 109 0.4× 82 3.3k
Dorotea Rigamonti Italy 19 2.6k 1.2× 2.4k 1.7× 792 1.7× 257 0.7× 160 0.6× 25 3.7k
Esther B. E. Becker United Kingdom 29 2.2k 1.0× 885 0.6× 250 0.5× 525 1.5× 210 0.8× 47 3.4k
Mariko Sekiguchi Japan 20 1.2k 0.5× 806 0.6× 302 0.7× 429 1.2× 161 0.6× 42 2.3k
Toshikuni Sasaoka Japan 28 1.6k 0.7× 1.0k 0.7× 233 0.5× 329 0.9× 106 0.4× 77 2.5k
Donato Goffredo Italy 12 2.0k 0.9× 1.8k 1.3× 543 1.2× 150 0.4× 134 0.5× 14 2.6k
Rosanna Parlato Germany 28 1.5k 0.6× 879 0.6× 283 0.6× 174 0.5× 123 0.5× 63 2.4k
Anne‐Laurence Boutillier France 29 1.5k 0.7× 762 0.5× 383 0.8× 137 0.4× 121 0.4× 54 2.7k
Zachary P. Wills United States 18 1.3k 0.6× 838 0.6× 273 0.6× 502 1.4× 60 0.2× 28 2.1k

Countries citing papers authored by Tie-Shan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tie-Shan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie-Shan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Tie-Shan Tang. A scholar is included among the top collaborators of Tie-Shan Tang 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-Shan Tang. Tie-Shan Tang 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.
Yang, Yeran, Zhenbo Liu, Fengli Wang, et al.. (2015). FANCD2 and REV1 cooperate in the protection of nascent DNA strands in response to replication stress. Nucleic Acids Research. 43(17). 8325–8339. 40 indexed citations
2.
Liu, Yang, Yeran Yang, Tie-Shan Tang, et al.. (2014). Variants of mouse DNA polymerase κ reveal a mechanism of efficient and accurate translesion synthesis past a benzo[ a ]pyrene dG adduct. Proceedings of the National Academy of Sciences. 111(5). 1789–1794. 30 indexed citations
3.
Gao, Min, Wei Wei, Zhaoqing Ba, et al.. (2014). Ago2 facilitates Rad51 recruitment and DNA double-strand break repair by homologous recombination. Cell Research. 24(5). 532–541. 147 indexed citations
4.
Wang, Fengli, Xiaolu Ma, Yeran Yang, et al.. (2013). Mismatch repair protein MSH2 regulates translesion DNA synthesis following exposure of cells to UV radiation. Nucleic Acids Research. 41(22). 10312–10322. 28 indexed citations
5.
Zhang, Xiuli, Qian Chen, Fenghua Yuan, et al.. (2013). Mouse DNA polymerase kappa has a functional role in the repair of DNA strand breaks. DNA repair. 12(5). 377–388. 26 indexed citations
6.
Guo, Caixia, Tie-Shan Tang, & Errol C. Friedberg. (2010). SnapShot: Nucleotide Excision Repair. Cell. 140(5). 754–754.e1. 13 indexed citations
7.
Wang, Hongyu, et al.. (2010). Tetrabenazine is neuroprotective in Huntington's disease mice. Molecular Neurodegeneration. 5(1). 18–18. 69 indexed citations
8.
Guo, Caixia, et al.. (2009). Y-family DNA polymerases in mammalian cells. Cellular and Molecular Life Sciences. 66(14). 2363–2381. 109 indexed citations
9.
Liu, Jing, Tie-Shan Tang, Huiping Tu, et al.. (2009). Deranged Calcium Signaling and Neurodegeneration in Spinocerebellar Ataxia Type 2. Journal of Neuroscience. 29(29). 9148–9162. 241 indexed citations
10.
Tang, Tie-Shan, et al.. (2009). Neuroprotective Effects of Inositol 1,4,5-Trisphosphate Receptor C-Terminal Fragment in a Huntington's Disease Mouse Model. Journal of Neuroscience. 29(5). 1257–1266. 80 indexed citations
11.
Schneider, Jay W., Zhengliang Gao, Shijie Li, et al.. (2008). Small-molecule activation of neuronal cell fate. Nature Chemical Biology. 4(7). 408–410. 125 indexed citations
12.
Chen, Xi, Tie-Shan Tang, Huiping Tu, et al.. (2008). Deranged Calcium Signaling and Neurodegeneration in Spinocerebellar Ataxia Type 3. Journal of Neuroscience. 28(48). 12713–12724. 183 indexed citations
13.
Tang, Tie-Shan, Xi Chen, Jing Liu, & Ilya Bezprozvanny. (2007). Dopaminergic Signaling and Striatal Neurodegeneration in Huntington's Disease. Journal of Neuroscience. 27(30). 7899–7910. 164 indexed citations
14.
Guo, Caixia, Tie-Shan Tang, Magda Bienko, Ivan Đikić, & Errol C. Friedberg. (2007). Requirements for the Interaction of Mouse Polκ with Ubiquitin and Its Biological Significance. Journal of Biological Chemistry. 283(8). 4658–4664. 53 indexed citations
15.
Guo, Caixia, Eiichiro Sonoda, Tie-Shan Tang, et al.. (2006). REV1 Protein Interacts with PCNA: Significance of the REV1 BRCT Domain In Vitro and In Vivo. Molecular Cell. 23(2). 265–271. 182 indexed citations
16.
Zhang, Hua, Anton Maximov, Yu Fu, et al.. (2005). Association of Ca V 1.3 L-Type Calcium Channels with Shank. Journal of Neuroscience. 25(5). 1037–1049. 116 indexed citations
17.
Chen, Ying, Uwe Beffert, Mert Ertunç, et al.. (2005). Reelin Modulates NMDA Receptor Activity in Cortical Neurons. Journal of Neuroscience. 25(36). 8209–8216. 232 indexed citations
18.
Maximov, Anton, Tie-Shan Tang, & Ilya Bezprozvanny. (2003). Association of the type 1 inositol (1,4,5)-trisphosphate receptor with 4.1N protein in neurons. Molecular and Cellular Neuroscience. 22(2). 271–283. 48 indexed citations
19.
Tang, Tie-Shan, Huiping Tu, Matthew T.V. Chan, et al.. (2003). Huntingtin and Huntingtin-Associated Protein 1 Influence Neuronal Calcium Signaling Mediated by Inositol-(1,4,5) Triphosphate Receptor Type 1. Neuron. 39(2). 227–239. 402 indexed citations
20.
Tang, Tie-Shan, Huiping Tu, Zhennan Wang, & Ilya Bezprozvanny. (2003). Modulation of Type 1 Inositol (1,4,5)-Trisphosphate Receptor Function by Protein Kinase A and Protein Phosphatase 1α. Journal of Neuroscience. 23(2). 403–415. 142 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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