Junyi Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Epigenetics and DNA Methylation 5
- Extracellular vesicles in disease 4
- Fibroblast Growth Factor Research 3
- Sphingolipid Metabolism and Signaling 3
- Hepatology 14
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Co-authors
- Junhua Wu (10 shared papers)Chunping Jiang (9 shared papers)Zhen Qu (4 shared papers)Anlai Ji (7 shared papers)Yitao Ding (2 shared papers)Zhi Ting Ye (1 shared paper)Dongjun Luo (1 shared paper)Gerhard Litscher (2 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Liver Cancer (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Frontiers in Pharmacology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Junyi Wu
54 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 281
- Hepatology 110
- Molecular Medicine 64
- Molecular Biology 501
- Biomaterials 96
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 138 | |
| 2 | 2016 | 130 | |
| 3 | 2017 | 104 | |
| 4 | 2018 | 87 | |
| 5 | 2015 | 59 | |
| 6 | 2011 | 55 | |
| 7 | 2014 | 51 | |
| 8 | 2019 | 49 | |
| 9 | 2022 | 43 | |
| 10 | 2017 | 33 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 30 | |
| 13 | 2005 | 27 | |
| 14 | 2022 | 22 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2019 | 13 |
About Junyi Wu
Junyi Wu is a scholar working on Molecular Biology, Hepatology, Oncology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.1k 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), Cancer Cells and Metastasis (3 papers), Fibroblast Growth Factor Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (281 citations), Hepatology (110 citations), Molecular Medicine (64 citations), Molecular Biology (501 citations) and Biomaterials (96 citations). Junyi Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Junhua Wu, Chunping Jiang, Zhen Qu, Anlai Ji, Yitao Ding, Zhi Ting Ye, Dongjun Luo, Gerhard Litscher, Ping Yin and Shifen Xu. Their work appears in journals such as Frontiers in Oncology, Liver Cancer, Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology 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.