Ying Tsai

1.8k citations
37 papers · 1.2k · h-index 19

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
    • Cancer, Hypoxia, and Metabolism

Papers in

Ying Tsai

37 papers receiving 1.2k citations

Peers

Ying Tsai
Comparison fields: 5 of 108
  • Oncology 473
  • Cancer Research 242
  • Immunology 292
  • Health, Toxicology and Mutagenesis 172
  • Pulmonary and Respiratory Medicine 250
Replace Ziying Lin with:
Ziying Lin China
Qingkun Song China
Enrique Fuentes‐Mattei United States
Jian Geng China
Jingyan Cao China
Masatsugu Yamamoto Japan
Long Wu China
Paavo Pääkkö Finland
Diana Lenzner United States
Yuan‐Sheng Zang China
Ying Tsai relative to Ziying Lin China Ziying Lin's profile →
Citations per field
00.5×1.5×
Ziying Lin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ying Tsai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ying Tsai Line = papers co-authored together Ying Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012156
2 201799
3 200292
4 201566
5 201762
6 201561
7 201751
8 201650
9 199749
10 201648
11 201547
12 201345
13 201744
14 201441
15 201832
16 200131
17 200727
18
Effects of ozone on normal and potentially sensitive human subjects. Part II: Airway inflammation and responsiveness to ozone in nonsmokers and smokers.
199724
19 201721
20 200417

About Ying Tsai

Ying Tsai is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Immunology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cancer Cells and Metastasis (5 papers), Effects of Radiation Exposure (5 papers), DNA Repair Mechanisms (4 papers), Air Quality and Health Impacts (4 papers), Immune cells in cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Oncology (473 citations), Cancer Research (242 citations), Immunology (292 citations), Health, Toxicology and Mutagenesis (172 citations) and Pulmonary and Respiratory Medicine (250 citations). Ying Tsai has collaborated with scholars based in United States, Taiwan and China. Frequent 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. Their work appears in journals such as Oncotarget, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Scientific Reports, Experimental Cell Research and Cancer Research.

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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