Shih-Chong Tsai

455 total citations
8 papers, 369 citations indexed

About

Shih-Chong Tsai is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shih-Chong Tsai has authored 8 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shih-Chong Tsai's work include Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers) and RNA Interference and Gene Delivery (2 papers). Shih-Chong Tsai is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers) and RNA Interference and Gene Delivery (2 papers). Shih-Chong Tsai collaborates with scholars based in United States and Taiwan. Shih-Chong Tsai's co-authors include Loren J. Field, Hidehiro Nakajima, Hisako O. Nakajima, Dora Dias‐Santagata, Wuqiang Zhu, Antonio Sarikas, Xinsong Xu, Pascal J. Lafontant, Kishore B.S. Pasumarthi and Georgia Dolios and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Circulation Research.

In The Last Decade

Shih-Chong Tsai

8 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shih-Chong Tsai United States	7	286	90	61	47	41	8	369
Jianqiu Zou United States	10	306 1.1×	85 0.9×	36 0.6×	50 1.1×	43 1.0×	21	402
Fang Ji China	11	253 0.9×	107 1.2×	32 0.5×	51 1.1×	13 0.3×	42	397
Austin Gay United States	6	288 1.0×	34 0.4×	90 1.5×	37 0.8×	19 0.5×	6	396
Erin Kaltenbrun United States	9	249 0.9×	36 0.4×	33 0.5×	29 0.6×	24 0.6×	13	350
K. V. Veerendra Kumar India	9	230 0.8×	81 0.9×	89 1.5×	20 0.4×	16 0.4×	15	370
Shoji Tane Japan	12	355 1.2×	51 0.6×	65 1.1×	61 1.3×	43 1.0×	13	414
Anna Jenkins Australia	6	509 1.8×	80 0.9×	25 0.4×	26 0.6×	25 0.6×	7	584
Yuanqing Feng China	7	261 0.9×	28 0.3×	25 0.4×	43 0.9×	69 1.7×	9	392
Isabel Fernández‐Pisonero Spain	11	226 0.8×	46 0.5×	33 0.5×	15 0.3×	48 1.2×	21	361

Countries citing papers authored by Shih-Chong Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Shih-Chong Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Chong Tsai. 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 Shih-Chong Tsai. The network helps show where Shih-Chong Tsai may publish in the future.

Co-authorship network of co-authors of Shih-Chong Tsai

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

All Works

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8 of 8 papers shown

Tsai, Shih-Chong, et al.. (2023). Humanized PD-1 Knock-in Mice Reveal Nivolumab’s Inhibitory Effects on Glioblastoma Tumor ProgressionIn Vivo. In Vivo. 37(5). 1991–2000. 1 indexed citations

Xu, Xinsong, Antonio Sarikas, Dora Dias‐Santagata, et al.. (2008). The CUL7 E3 Ubiquitin Ligase Targets Insulin Receptor Substrate 1 for Ubiquitin-Dependent Degradation. Molecular Cell. 30(4). 403–414. 178 indexed citations

Dowell, Joshua D., Shih-Chong Tsai, Dora Dias‐Santagata, et al.. (2006). Expression of a mutant p193/CUL7 molecule confers resistance to MG132- and etoposide-induced apoptosis independent of p53 or Parc binding. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(3). 358–366. 13 indexed citations

Kao, Ming‐Chang, et al.. (2004). Prediction of the distance from skin to epidural space for low-thoracic epidural catheter insertion by computed tomography. British Journal of Anaesthesia. 92(2). 271–273. 21 indexed citations

Nakajima, Hidehiro, Hisako O. Nakajima, Shih-Chong Tsai, & Loren J. Field. (2004). Expression of Mutant p193 and p53 Permits Cardiomyocyte Cell Cycle Reentry After Myocardial Infarction in Transgenic Mice. Circulation Research. 94(12). 1606–1614. 51 indexed citations

Pasumarthi, Kishore B.S., Shih-Chong Tsai, & Loren J. Field. (2001). Coexpression of Mutant p53 and p193 Renders Embryonic Stem Cell–Derived Cardiomyocytes Responsive to the Growth-Promoting Activities of Adenoviral E1A. Circulation Research. 88(10). 1004–1011. 26 indexed citations

Tsai, Shih-Chong, Kishore B.S. Pasumarthi, Laura Pajak, et al.. (2000). Simian Virus 40 Large T Antigen Binds a Novel Bcl-2 Homology Domain 3-containing Proapoptosis Protein in the Cytoplasm. Journal of Biological Chemistry. 275(5). 3239–3246. 60 indexed citations

Kim, Kyung Keun, Adil Daud, Susan Wong, et al.. (1996). Mouse RAD50 Has Limited Epitopic Homology to p53 and Is Expressed in the Adult Myocardium. Journal of Biological Chemistry. 271(46). 29255–29264. 19 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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