Yuting Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Clinical Biochemistry top 10%
- Advanced Glycation End Products research
Papers in
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- Epigenetics and DNA Methylation 3
-
- MicroRNA in disease regulation 7
- Co-authors
- Huiyu Hu (6 shared papers)Mingyong Xie (5 shared papers)Shaoping Nie (5 shared papers)Mingyue Shen (4 shared papers)Yousheng Huang (4 shared papers)Xiumei Liu (1 shared paper)Yong Huang (4 shared papers)Chang Li (2 shared papers)
- Journals
- Food Research International (2 papers)Foods (2 papers)Cancer Letters (1 paper)Frontiers in Microbiology (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuting Wang
38 papers receiving 693 citations
Peers
Comparison fields: 5 of 114
- Cancer Research 138
- Clinical Biochemistry 62
- Rehabilitation 51
- Dermatology 54
- Toxicology 21
Countries citing papers authored by Yuting Wang
This map shows the geographic impact of Yuting 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 Yuting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Wang more than expected).
Fields of papers citing papers by Yuting Wang
This network shows the impact of papers produced by Yuting 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 Yuting Wang. The network helps show where Yuting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 63 | |
| 2 | 2013 | 56 | |
| 3 | 2020 | 56 | |
| 4 | 2022 | 53 | |
| 5 | 2019 | 48 | |
| 6 | 2015 | 43 | |
| 7 | 2018 | 38 | |
| 8 | 2022 | 34 | |
| 9 | 2019 | 32 | |
| 10 | 2022 | 30 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2018 | 20 | |
| 14 | BAMBI inhibits skin fibrosis in keloid through suppressing TGF-β1-induced hypernomic fibroblast cell proliferation and excessive accumulation of collagen I. | 2015 | 20 |
| 15 | 2016 | 19 | |
| 16 | 2022 | 15 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2024 | 11 |
About Yuting Wang
Yuting Wang is a scholar working on Molecular Biology, Cancer Research, Plant Science, Organic Chemistry and Dermatology, having authored 38 papers that have together received 703 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Potato Plant Research (4 papers), Wound Healing and Treatments (4 papers), Edible Oils Quality and Analysis (4 papers), Dermatologic Treatments and Research (3 papers), Advanced Glycation End Products research (3 papers), Epigenetics and DNA Methylation (3 papers) and Phytochemicals and Antioxidant Activities (2 papers). The work is most often cited by research in Cancer Research (138 citations), Clinical Biochemistry (62 citations), Rehabilitation (51 citations), Dermatology (54 citations) and Toxicology (21 citations). Yuting Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Huiyu Hu, Mingyong Xie, Shaoping Nie, Mingyue Shen, Yousheng Huang, Xiumei Liu, Yong Huang, Chang Li, Dong Wang and Yifei Li. Their work appears in journals such as Food Research International, Foods, Cancer Letters, Frontiers in Microbiology and International Journal of Molecular Medicine.
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.