Yvonne Tsai

5.5k total citations · 1 hit paper
34 papers, 4.2k citations indexed

About

Yvonne Tsai is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Yvonne Tsai has authored 34 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Surgery and 9 papers in Oncology. Recurrent topics in Yvonne Tsai's work include Epigenetics and DNA Methylation (16 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Cancer-related gene regulation (8 papers). Yvonne Tsai is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Bladder and Urothelial Cancer Treatments (9 papers) and Cancer-related gene regulation (8 papers). Yvonne Tsai collaborates with scholars based in United States, Germany and Taiwan. Yvonne Tsai's co-authors include Peter A. Jones, Gangning Liang, Charles Spruck, Peter W. Nichols, Felicidad A. Gonzales, Philip Frost, David Sidransky, Ian C. Summerhayes, Fray F. Marshall and Andrew von Eschenbach and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Yvonne Tsai

33 papers receiving 4.1k citations

Hit Papers

Identification of p53 Gene Mutations in Bladder Cancers a... 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yvonne Tsai United States 26 2.8k 1.3k 1.0k 935 568 34 4.2k
Michael T. Barrett United States 34 1.9k 0.7× 965 0.7× 1.4k 1.3× 1.1k 1.2× 608 1.1× 99 4.2k
Claes G. Tropé Norway 36 1.4k 0.5× 592 0.4× 1.2k 1.2× 787 0.8× 313 0.6× 149 3.8k
Giuliana Salvatore Italy 36 2.2k 0.8× 559 0.4× 2.0k 1.9× 596 0.6× 794 1.4× 83 5.3k
Christine E. Sheehan United States 37 1.8k 0.6× 1.1k 0.8× 1.7k 1.7× 1.1k 1.2× 399 0.7× 88 4.7k
Qingyun Liu China 18 2.1k 0.8× 291 0.2× 1.7k 1.7× 996 1.1× 333 0.6× 31 3.4k
Kanji Ishizaki Japan 33 2.1k 0.8× 233 0.2× 1.2k 1.2× 824 0.9× 371 0.7× 90 3.4k
Jane Weaver-Feldhaus United States 10 1.9k 0.7× 260 0.2× 1.8k 1.8× 757 0.8× 343 0.6× 10 3.1k
Anil K. Rustgi United States 25 1.5k 0.5× 523 0.4× 1.1k 1.0× 623 0.7× 238 0.4× 44 2.6k
Cornelisse Cj Netherlands 24 1.4k 0.5× 252 0.2× 1.0k 1.0× 689 0.7× 445 0.8× 48 2.9k
Simone Spaderna Germany 15 2.9k 1.1× 249 0.2× 2.2k 2.1× 1.8k 1.9× 367 0.6× 18 4.4k

Countries citing papers authored by Yvonne Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Yvonne Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yvonne Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Yvonne Tsai. A scholar is included among the top collaborators of Yvonne 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 Yvonne Tsai. Yvonne Tsai 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.
Chew, Yap Ching, Xi-Yu Jia, Wei Guo, et al.. (2021). Clinical evaluation of Bladder CARE, a new epigenetic test for bladder cancer detection in urine samples. Clinical Epigenetics. 13(1). 84–84. 30 indexed citations
2.
Gujar, Hemant, Hongtao Li, Yvonne Tsai, et al.. (2021). Characterizing DNA methylation signatures and their potential functional roles in Merkel cell carcinoma. Genome Medicine. 13(1). 130–130. 12 indexed citations
3.
Su, Sheng‐Fang, Andre Luis Abreu, Yoshitomo Chihara, et al.. (2014). A Panel of Three Markers Hyper- and Hypomethylated in Urine Sediments Accurately Predicts Bladder Cancer Recurrence. Clinical Cancer Research. 20(7). 1978–1989. 75 indexed citations
4.
Lay, Fides D., Timothy J. Triche, Yvonne Tsai, et al.. (2014). Reprogramming of the human intestinal epigenome by surgical tissue transposition. Genome Research. 24(4). 545–553. 14 indexed citations
5.
Friedman, Jeffrey M., Gangning Liang, Chun-Chi Liu, et al.. (2009). The Putative Tumor Suppressor microRNA-101 Modulates the Cancer Epigenome by Repressing the Polycomb Group Protein EZH2. Cancer Research. 69(6). 2623–2629. 307 indexed citations
6.
Lin, Joy, Shinwu Jeong, Gangning Liang, et al.. (2007). Role of Nucleosomal Occupancy in the Epigenetic Silencing of the MLH1 CpG Island. Cancer Cell. 12(5). 432–444. 159 indexed citations
7.
Cortez, Connie C., Gangning Liang, Jia Li, et al.. (2006). RUNX3: Promoter 1 methylation status. Cancer Research. 66. 372–372. 1 indexed citations
8.
Weisenberger, Daniel J., Mihaela Velicescu, Felicidad A. Gonzales, et al.. (2002). Identification and characterization of alternatively spliced variants of DNA methyltransferase 3a in mammalian cells. Gene. 298(1). 91–99. 49 indexed citations
9.
Velicescu, Mihaela, Daniel J. Weisenberger, Felicidad A. Gonzales, et al.. (2002). Cell division is required for de novo methylation of CpG islands in bladder cancer cells.. PubMed. 62(8). 2378–84. 84 indexed citations
10.
Salem, Carol E., Gangning Liang, Yvonne Tsai, et al.. (2000). Progressive increases in de novo methylation of CpG islands in bladder cancer.. PubMed. 60(9). 2473–6. 78 indexed citations
11.
Tsutsumi, Masakazu, Yvonne Tsai, Mark L. Gonzalgo, Peter W. Nichols, & Peter A. Jones. (1998). Early acquisition of homozygous deletions of p16/p19 during squamous cell carcinogenesis and genetic mosaicism in bladder cancer. Oncogene. 17(23). 3021–3027. 33 indexed citations
12.
Kissil, Joseph L., Elena Feinstein, Ofer Cohen, et al.. (1997). DAP-kinase loss of expression in various carcinoma and B-cell lymphoma cell lines: possible implications for role as tumor suppressor gene. Oncogene. 15(4). 403–407. 179 indexed citations
13.
Shibata, Atsuko, et al.. (1996). Clonal analysis of bilateral breast cancer.. PubMed. 2(4). 743–8. 39 indexed citations
14.
Tsai, Yvonne, Anne R. Simoneau, Charles Spruck, et al.. (1995). Mosaicism in Human Epithelium: Macroscopic Monoclonal Patches Cover the Urothelium. The Journal of Urology. 153(5). 1697–1700. 59 indexed citations
15.
Shibata, Atsuko, Yvonne Tsai, Charles Spruck, et al.. (1994). Mutational spectrum in the p53 gene in bladder tumors from the endemic area of black foot disease in Taiwan. Carcinogenesis. 15(6). 1085–1087. 48 indexed citations
16.
Jones, Peter A., William M. Rideout, Jiang‐Cheng Shen, Charles Spruck, & Yvonne Tsai. (1992). Methylation, mutation and cancer. BioEssays. 14(1). 33–36. 159 indexed citations
17.
Lerner, Seth P., Yvonne Tsai, & Peter A. Jones. (1991). Genetic aspects of bladder cancer progression. World Journal of Urology. 9(2). 1 indexed citations
18.
Sidransky, David, Andrew von Eschenbach, Yvonne Tsai, et al.. (1991). Identification of p53 Gene Mutations in Bladder Cancers and Urine Samples. Science. 252(5006). 706–709. 731 indexed citations breakdown →
19.
Keer, Harold, Yvonne Tsai, James M. Kozlowski, & John T. Grayhack. (1987). Elevated Transferrin Receptors(TfR) in Prostatic Cancer(PCa) Cells. The Journal of Urology. 137(6). 1 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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