Ting Wang
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 17
- Cell Biology 34
- Microtubule and mitosis dynamics 9
- Co-authors
- Fangyi Long (15 shared papers)Hong Lin (6 shared papers)Rebecca C. Wade (2 shared papers)J.Y. Youn (1 shared paper)Hua “Linda” Cai (1 shared paper)Cornelius H. L. Kürten (1 shared paper)Sayali Onkar (1 shared paper)Zengbiao Qi (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Frontiers in Pharmacology (4 papers)PLoS ONE (4 papers)European Journal of Medicinal Chemistry (4 papers)BMC Cancer (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ting Wang
181 papers receiving 4.0k citations
Ting Wang's Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 912
- Oncology 789
- Molecular Biology 2.0k
- Immunology 538
- Cell Biology 263
Countries citing papers authored by Ting Wang
This map shows the geographic impact of Ting 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 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 Wang more than expected).
Fields of papers citing papers by Ting Wang
This network shows the impact of papers produced by Ting 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 Wang. The network helps show where Ting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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
Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer Hit paper breakdown → | 2020 | 520 |
| 2 | 2021 | 162 | |
| 3 | Single-cell RNA-sequencing atlas reveals an MDK-dependent immunosuppressive environment in ErbB pathway-mutated gallbladder cancer Hit paper breakdown → | 2021 | 145 |
| 4 | 2019 | 125 | |
| 5 | 2014 | 108 | |
| 6 | 2008 | 107 | |
| 7 | 2022 | 105 | |
| 8 | 2017 | 104 | |
| 9 | 2022 | 100 | |
| 10 | 2014 | 86 | |
| 11 | 2017 | 75 | |
| 12 | 2023 | 69 | |
| 13 | 2002 | 68 | |
| 14 | 2016 | 61 | |
| 15 | 2015 | 61 | |
| 16 | 2014 | 60 | |
| 17 | 2016 | 60 | |
| 18 | 2021 | 57 | |
| 19 | 2018 | 56 | |
| 20 | 2014 | 52 |
About Ting Wang
Ting Wang is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Oncology and Immunology, having authored 188 papers that have together received 4.1k indexed citations. Recurring topics across this work include Circular RNAs in diseases (26 papers), MicroRNA in disease regulation (20 papers), RNA modifications and cancer (19 papers), Cancer-related molecular mechanisms research (17 papers), Cancer Immunotherapy and Biomarkers (16 papers), Ferroptosis and cancer prognosis (10 papers), Microtubule and mitosis dynamics (9 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (912 citations), Oncology (789 citations), Molecular Biology (2.0k citations), Immunology (538 citations) and Cell Biology (263 citations). Ting Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fangyi Long, Hong Lin, Rebecca C. Wade, J.Y. Youn, Hua “Linda” Cai, Cornelius H. L. Kürten, Sayali Onkar, Zengbiao Qi, Anthony Richard Cillo and Tracy Tabib. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Pharmacology, PLoS ONE, European Journal of Medicinal Chemistry and BMC Cancer.
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.