Ying Tsai

1.8k total citations
37 papers, 1.2k citations indexed

About

Ying Tsai is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ying Tsai has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ying Tsai's work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Cells and Metastasis (5 papers). Ying Tsai is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Cells and Metastasis (5 papers). Ying Tsai collaborates with scholars based in United States, Taiwan and China. Ying Tsai's co-authors include Yuhchyau Chen, Soo Ok Lee, Peter C. Keng, Yongbing Chen, Shanzhou Duan, Mingjing Shen, Peter Keng, Mark W. Frampton, Alfonso Torres and Xiaodong Yang and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Cancer Research.

In The Last Decade

Ying Tsai

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Tsai United States 19 473 330 292 250 242 37 1.2k
Jingyan Cao China 18 454 1.0× 298 0.9× 272 0.9× 143 0.6× 199 0.8× 32 1.1k
Qingkun Song China 19 486 1.0× 270 0.8× 209 0.7× 184 0.7× 178 0.7× 76 1.2k
Ziying Lin China 21 307 0.6× 545 1.7× 304 1.0× 207 0.8× 307 1.3× 48 1.2k
Shaoli Zhang China 17 276 0.6× 328 1.0× 193 0.7× 171 0.7× 142 0.6× 44 1.1k
Jian Geng China 22 253 0.5× 815 2.5× 109 0.4× 213 0.9× 390 1.6× 58 1.7k
Diana Lenzner United States 18 539 1.1× 249 0.8× 301 1.0× 225 0.9× 97 0.4× 23 1.1k
Masatsugu Yamamoto Japan 16 271 0.6× 231 0.7× 125 0.4× 295 1.2× 137 0.6× 79 889
Yuan‐Sheng Zang China 19 445 0.9× 240 0.7× 140 0.5× 356 1.4× 213 0.9× 51 952
Long Wu China 25 259 0.5× 842 2.6× 218 0.7× 188 0.8× 531 2.2× 50 1.8k
Xiaohong Fu China 18 509 1.1× 444 1.3× 124 0.4× 685 2.7× 318 1.3× 53 1.5k

Countries citing papers authored by Ying Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ying Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tsai. A scholar is included among the top collaborators of Ying 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 Ying Tsai. Ying 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.
Sun, Yin, Ying Tsai, Ronald W. Wood, et al.. (2023). KDM3B Single-Nucleotide Polymorphisms Impact Radiation Therapy Toxicity Through Circular RNA-Mediated KDM3B Expression and Inflammatory Responses. International Journal of Radiation Oncology*Biology*Physics. 119(1). 251–260. 2 indexed citations
2.
Lung, Jrhau, Ming‐Szu Hung, Yu‐Ching Lin, et al.. (2020). A highly sensitive and specific real-time quantitative PCR for BRAF V600E/K mutation screening. Scientific Reports. 10(1). 16943–16943. 8 indexed citations
3.
Lung, Jrhau, Ming‐Szu Hung, Yu‐Ching Lin, et al.. (2020). Virtual Screening and In Vitro Evaluation of PD-L1 Dimer Stabilizers for Uncoupling PD-1/PD-L1 Interaction from Natural Products. Molecules. 25(22). 5293–5293. 7 indexed citations
4.
5.
Zhu, Rongying, Xiang Xue, Mingjing Shen, et al.. (2018). NFκB and TNFα as individual key molecules associated with the cisplatin-resistance and radioresistance of lung cancer. Experimental Cell Research. 374(1). 181–188. 9 indexed citations
6.
7.
Lung, Jrhau, Chien‐Hui Hung, Chih‐Cheng Chen, et al.. (2017). In silico-based identification of human α-enolase inhibitors to block cancer cell growth metabolically. Drug Design Development and Therapy. Volume 11. 3281–3290. 11 indexed citations
8.
Li, Yang, Mingjing Shen, Li Xu, et al.. (2017). Enhancing NK cell-mediated cytotoxicity to cisplatin-resistant lung cancer cells via MEK/Erk signaling inhibition. Scientific Reports. 7(1). 7958–7958. 44 indexed citations
9.
Zhang, Fuquan, Shanzhou Duan, Ying Tsai, et al.. (2016). Cisplatin treatment increases stemness through upregulation of hypoxia‐inducible factors by interleukin‐6 in non‐small cell lung cancer. Cancer Science. 107(6). 746–754. 50 indexed citations
10.
11.
Chen, Chih‐Cheng, et al.. (2014). Frequencies, clinical characteristics, and outcome of somatic CALR mutations in JAK2-unmutated essential thrombocythemia. Annals of Hematology. 93(12). 2029–2036. 41 indexed citations
12.
Lin, Chieh‐Mo, et al.. (2013). The burden of chronic obstructive pulmonary disease (COPD) in Taiwan. European Respiratory Journal. 42(Suppl 57). P286–P286. 2 indexed citations
13.
Tsai, Ying, et al.. (2010). Response kinetics of radiation-induced micronucleated reticulocytes in human bone marrow culture. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 718(1-2). 38–43. 4 indexed citations
14.
Chen, Yuhchyau, Ying Tsai, Irena Nowak, et al.. (2010). VALIDATING HIGH-THROUGHPUT MICRONUCLEUS ANALYSIS OF PERIPHERAL RETICULOCYTES FOR RADIATION BIODOSIMETRY: BENCHMARK AGAINST DICENTRIC AND CBMN ASSAYS IN A MOUSE MODEL. Health Physics. 98(2). 218–227. 16 indexed citations
15.
Dertinger, Stephen D., Jeffrey C. Bemis, Souk Phonethepswath, et al.. (2009). Reticulocyte and micronucleated reticulocyte responses to gamma irradiation: Effect of age. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 675(1-2). 77–80. 6 indexed citations
16.
Dertinger, Stephen D., Ying Tsai, Irena Nowak, et al.. (2007). Reticulocyte and micronucleated reticulocyte responses to gamma irradiation: dose–response and time-course profiles measured by flow cytometry. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 634(1-2). 119–125. 27 indexed citations
17.
Tsai, Ying, et al.. (2004). Pulmonary lymphangioleiomyomatosis. Clinical Imaging. 28(1). 1–5. 17 indexed citations
18.
Voter, Karen Z., John C. Whitin, Alfonso Torres, et al.. (2001). OZONE EXPOSURE AND THE PRODUCTION OF REACTIVE OXYGEN SPECIES BY BRONCHOALVEOLAR CELLS IN HUMANS. Inhalation Toxicology. 13(6). 465–483. 31 indexed citations
19.
Wu, Rick Sai‐Chuen, et al.. (2000). Effects of fenoterol and ipratropium on respiratory resistance of asthmatics after tracheal intubation. British Journal of Anaesthesia. 84(3). 358–362. 13 indexed citations
20.
Torres, Alfonso, Karen Z. Voter, John C. Whitin, et al.. (1997). Airway Inflammation in Smokers and Nonsmokers with Varying Responsiveness to Ozone. American Journal of Respiratory and Critical Care Medicine. 156(3). 728–736. 49 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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