Tengda Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Renal and related cancers 3
- Kruppel-like factors research 2
- Epigenetics and DNA Methylation 2
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- Ferroptosis and cancer prognosis 4
- Renal cell carcinoma treatment 2
- Co-authors
- Yipeng Yu (6 shared papers)Cheng Zhang (6 shared papers)Daming Zhang (3 shared papers)Wei Xue (4 shared papers)Gang Wang (2 shared papers)Chao Yuan (2 shared papers)Zijian Zhang (1 shared paper)Hao-Ming Li (1 shared paper)
- Journals
- ACS Applied Materials & Interfaces (2 papers)Molecular Carcinogenesis (1 paper)Journal of Colloid and Interface Science (1 paper)BMC Medical Genomics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Tengda Wang
17 papers receiving 256 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 112
- Molecular Biology 164
- Pulmonary and Respiratory Medicine 69
- Biomaterials 15
- Surfaces, Coatings and Films 7
Countries citing papers authored by Tengda Wang
This map shows the geographic impact of Tengda 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 Tengda Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tengda Wang more than expected).
Fields of papers citing papers by Tengda Wang
This network shows the impact of papers produced by Tengda 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 Tengda Wang. The network helps show where Tengda Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tengda 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 | 2019 | 104 | |
| 2 | 2021 | 34 | |
| 3 | 2023 | 27 | |
| 4 | 2020 | 24 | |
| 5 | 2023 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2024 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2023 | 0 |
About Tengda Wang
Tengda Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Plant Science and Organic Chemistry, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (4 papers), Renal and related cancers (3 papers), Cancer Genomics and Diagnostics (3 papers), Kruppel-like factors research (2 papers), Epigenetics and DNA Methylation (2 papers), Renal cell carcinoma treatment (2 papers), Surface Modification and Superhydrophobicity (2 papers) and Plant Surface Properties and Treatments (2 papers). The work is most often cited by research in Cancer Research (112 citations), Molecular Biology (164 citations), Pulmonary and Respiratory Medicine (69 citations), Biomaterials (15 citations) and Surfaces, Coatings and Films (7 citations). Tengda Wang has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Yipeng Yu, Cheng Zhang, Daming Zhang, Wei Xue, Gang Wang, Chao Yuan, Zijian Zhang, Hao-Ming Li, Qiong Wu and Panhong Liu. Their work appears in journals such as ACS Applied Materials & Interfaces, Molecular Carcinogenesis, Journal of Colloid and Interface Science, BMC Medical Genomics and Scientific Reports.
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.