Junfa Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Circular RNAs in diseases 7
- Inflammasome and immune disorders 3
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
- NF-κB Signaling Pathways 3
- Co-authors
- Hui Fang (5 shared papers)Changyao Li (4 shared papers)Tao Xu (17 shared papers)Liang‐yun Li (10 shared papers)Lingling Zhang (5 shared papers)Bangjie Chen (7 shared papers)Jun Li (7 shared papers)Hong Zhou (7 shared papers)
- Journals
- Frontiers in Pharmacology (5 papers)European Journal of Pharmacology (2 papers)International Immunopharmacology (2 papers)Acta Pharmacologica Sinica (2 papers)Heliyon (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Junfa Yang
34 papers receiving 567 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 185
- Hepatology 66
- Molecular Biology 258
- Epidemiology 107
- Pathology and Forensic Medicine 55
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 | 49 | |
| 2 | 2020 | 40 | |
| 3 | 2020 | 36 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2021 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 23 | |
| 11 | 2018 | 23 | |
| 12 | 2023 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2024 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 12 | |
| 20 | 2020 | 11 |
About Junfa Yang
Junfa Yang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Hepatology and Immunology, having authored 35 papers that have together received 576 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (7 papers), Liver physiology and pathology (6 papers), Alcohol Consumption and Health Effects (4 papers), Cancer-related molecular mechanisms research (4 papers), NF-κB Signaling Pathways (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Cancer Research (185 citations), Hepatology (66 citations), Molecular Biology (258 citations), Epidemiology (107 citations) and Pathology and Forensic Medicine (55 citations). Junfa Yang has collaborated with scholars based in China and United States. Frequent co-authors include Hui Fang, Changyao Li, Tao Xu, Liang‐yun Li, Lingling Zhang, Bangjie Chen, Jun Li, Hong Zhou, Xiao‐Ming Meng and Xian‐Zheng Zhang. Their work appears in journals such as Frontiers in Pharmacology, European Journal of Pharmacology, International Immunopharmacology, Acta Pharmacologica Sinica and Heliyon.
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.