Fa Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Pregnancy and preeclampsia studies
Papers in
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- Protein Degradation and Inhibitors 2
- RNA Interference and Gene Delivery 2
- RNA modifications and cancer 2
- Advanced biosensing and bioanalysis techniques 2
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- Neonatal Respiratory Health Research 2
- Co-authors
- Fu‐Ju Tian (1 shared paper)Thomas D. Wang (6 shared papers)Yanxiang Cheng (1 shared paper)Xiaoling Ma (1 shared paper)Jing Yang (1 shared paper)Yi Lin (1 shared paper)Xiaocui Li (1 shared paper)Ye Zhao (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Bioconjugate Chemistry (1 paper)Antioxidants and Redox Signaling (1 paper)FEBS Letters (1 paper)Biomedical Optics Express (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Fa Wang
17 papers receiving 290 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 57
- Obstetrics and Gynecology 24
- Pulmonary and Respiratory Medicine 72
- Immunology 42
- Molecular Biology 96
Countries citing papers authored by Fa Wang
This map shows the geographic impact of Fa 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 Fa Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Wang more than expected).
Fields of papers citing papers by Fa Wang
This network shows the impact of papers produced by Fa 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 Fa Wang. The network helps show where Fa Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa 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 | 2023 | 86 | |
| 2 | 2016 | 51 | |
| 3 | 2011 | 44 | |
| 4 | 2024 | 16 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 14 | |
| 7 | 2020 | 11 | |
| 8 | 2019 | 10 | |
| 9 | 2017 | 10 | |
| 10 | Downregulated miRNA-22-3p promotes the progression and leads to poor prognosis of hepatocellular carcinoma through targeting CDKN2C. | 2021 | 9 |
| 11 | 2021 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2017 | 2 | |
| 18 | Advances in Research of miR-183 Family and Cancer | 2013 | 0 |
| 19 | 2025 | 0 |
About Fa Wang
Fa Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Cancer Research and Biomedical Engineering, having authored 19 papers that have together received 291 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), RNA Interference and Gene Delivery (2 papers), Sulfur Compounds in Biology (2 papers), Cancer Research and Treatments (2 papers), MicroRNA in disease regulation (2 papers), Neonatal Respiratory Health Research (2 papers), RNA modifications and cancer (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (57 citations), Obstetrics and Gynecology (24 citations), Pulmonary and Respiratory Medicine (72 citations), Immunology (42 citations) and Molecular Biology (96 citations). Fa Wang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Fu‐Ju Tian, Thomas D. Wang, Yanxiang Cheng, Xiaoling Ma, Jing Yang, Yi Lin, Xiaocui Li, Ye Zhao, Yanjun Sun and Ding Lei. Their work appears in journals such as Journal of Medicinal Chemistry, Bioconjugate Chemistry, Antioxidants and Redox Signaling, FEBS Letters and Biomedical Optics Express.
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.