Ting-You Wang
Impact in
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- Systemic Lupus Erythematosus Research
Papers in
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- RNA Research and Splicing 4
- Bioinformatics and Genomic Networks 2
- RNA modifications and cancer 2
- Gene expression and cancer classification 1
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- Cancer-related molecular mechanisms research 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Rendong Yang (10 shared papers)Li Wang (2 shared papers)Sk. Kayum Alam (2 shared papers)Luke H. Hoeppner (2 shared papers)Chuen‐Horng Lin (1 shared paper)Jiangshan Jane Shen (4 shared papers)Wanling Yang (4 shared papers)Qi Cao (4 shared papers)
- Journals
- Bioinformatics (3 papers)Nature Communications (1 paper)Molecular Cell (1 paper)Briefings in Bioinformatics (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ting-You Wang
16 papers receiving 190 citations
Peers
Comparison fields: 5 of 56
- Immunology 59
- Rheumatology 26
- Cancer Research 22
- Molecular Biology 94
- Oncology 28
Countries citing papers authored by Ting-You Wang
This map shows the geographic impact of Ting-You Wang'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 Ting-You Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-You Wang more than expected).
Fields of papers citing papers by Ting-You Wang
This network shows the impact of papers produced by Ting-You Wang. 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 Ting-You Wang. The network helps show where Ting-You Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting-You Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 43 | |
| 2 | 2019 | 34 | |
| 3 | 2018 | 23 | |
| 4 | 2011 | 14 | |
| 5 | 2020 | 13 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2017 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2008 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2021 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2026 | 0 |
About Ting-You Wang
Ting-You Wang is a scholar working on Molecular Biology, Cancer Research, Mechanical Engineering, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 193 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Bioinformatics and Genomic Networks (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Metal and Thin Film Mechanics (1 paper), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Immunology (59 citations), Rheumatology (26 citations), Cancer Research (22 citations), Molecular Biology (94 citations) and Oncology (28 citations). Ting-You Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Rendong Yang, Li Wang, Sk. Kayum Alam, Luke H. Hoeppner, Chuen‐Horng Lin, Jiangshan Jane Shen, Wanling Yang, Qi Cao, Yanan Ren and Qiwen Hu. Their work appears in journals such as Bioinformatics, Nature Communications, Molecular Cell, Briefings in Bioinformatics and Molecular BioSystems.
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.