Junyi Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Hepatology 14
- Hepatocellular Carcinoma Treatment and Prognosis 12
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- Epigenetics and DNA Methylation 5
- Extracellular vesicles in disease 4
- Fibroblast Growth Factor Research 3
- Cancer-related gene regulation 3
- Co-authors
- Junhua Wu (10 shared papers)Chunping Jiang (9 shared papers)Zhen Qu (4 shared papers)Yitao Ding (2 shared papers)Zhi Ting Ye (1 shared paper)Dongjun Luo (1 shared paper)Shifen Xu (2 shared papers)Ping Yin (2 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Frontiers in Pharmacology (2 papers)Liver Cancer (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Junyi Wu
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 289
- Hepatology 118
- Molecular Medicine 65
- Molecular Biology 528
- Complementary and alternative medicine 57
Countries citing papers authored by Junyi Wu
This map shows the geographic impact of Junyi Wu'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 Junyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Wu more than expected).
Fields of papers citing papers by Junyi Wu
This network shows the impact of papers produced by Junyi Wu. 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 Junyi Wu. The network helps show where Junyi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Wu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2016 | 134 | |
| 3 | 2017 | 107 | |
| 4 | 2018 | 88 | |
| 5 | 2015 | 64 | |
| 6 | 2011 | 58 | |
| 7 | 2014 | 56 | |
| 8 | 2019 | 49 | |
| 9 | 2022 | 46 | |
| 10 | 2017 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2019 | 31 | |
| 13 | 2018 | 30 | |
| 14 | 2005 | 28 | |
| 15 | 2022 | 23 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2022 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 15 |
About Junyi Wu
Junyi Wu is a scholar working on Hepatology, Molecular Biology, Oncology, Cancer Research and Epidemiology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Epigenetics and DNA Methylation (5 papers), Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers), Fibroblast Growth Factor Research (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer Cells and Metastasis (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cancer Research (289 citations), Hepatology (118 citations), Molecular Medicine (65 citations), Molecular Biology (528 citations) and Complementary and alternative medicine (57 citations). Junyi Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Junhua Wu, Chunping Jiang, Zhen Qu, Yitao Ding, Zhi Ting Ye, Dongjun Luo, Shifen Xu, Ping Yin, Gerhard Litscher and Wei Wang. Their work appears in journals such as Frontiers in Oncology, Frontiers in Pharmacology, Liver Cancer, Evidence-based Complementary and Alternative Medicine 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.