Junfa Yang
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Liver physiology and pathology 8
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 2
- Co-authors
- Hui Fang (5 shared papers)Tao Xu (17 shared papers)Changyao Li (4 shared papers)Liang‐yun Li (10 shared papers)Lingling Zhang (5 shared papers)Bangjie Chen (7 shared papers)Jun Li (7 shared papers)Xian‐Zheng Zhang (3 shared papers)
- Journals
- Frontiers in Pharmacology (5 papers)European Journal of Pharmacology (2 papers)International Journal of Biological Sciences (2 papers)Acta Pharmacologica Sinica (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- China
In The Last Decade
Junfa Yang
34 papers receiving 616 citations
Peers
Comparison fields: 5 of 75
- Hepatology 96
- Cancer Research 135
- Complementary and alternative medicine 45
- Pharmacology 29
- Infectious Diseases 48
Countries citing papers authored by Junfa Yang
This map shows the geographic impact of Junfa Yang'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 Junfa Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfa Yang more than expected).
Fields of papers citing papers by Junfa Yang
This network shows the impact of papers produced by Junfa Yang. 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 Junfa Yang. The network helps show where Junfa Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfa Yang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 37 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 33 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2023 | 27 | |
| 10 | 2024 | 26 | |
| 11 | 2018 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 16 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 12 |
About Junfa Yang
Junfa Yang is a scholar working on Hepatology, Cancer Research, Pathology and Forensic Medicine, Complementary and alternative medicine and Pharmacology, having authored 35 papers that have together received 628 indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), MicroRNA in disease regulation (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Alcohol Consumption and Health Effects (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Cancer-related molecular mechanisms research (2 papers), Cancer Cells and Metastasis (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Hepatology (96 citations), Cancer Research (135 citations), Complementary and alternative medicine (45 citations), Pharmacology (29 citations) and Infectious Diseases (48 citations). Junfa Yang has collaborated with scholars based in China. Frequent co-authors include Hui Fang, Tao Xu, Changyao Li, Liang‐yun Li, Lingling Zhang, Bangjie Chen, Jun Li, Xian‐Zheng Zhang, Hong Zhou and Xiao‐Ming Meng. Their work appears in journals such as Frontiers in Pharmacology, European Journal of Pharmacology, International Journal of Biological Sciences, Acta Pharmacologica Sinica and International Immunopharmacology.
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.