Jing‐Ping Yun
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer, Hypoxia, and Metabolism 15
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 13
- Cancer, Lipids, and Metabolism 12
- Oncology 58
- Viral-associated cancers and disorders 13
- Cancer-related Molecular Pathways 12
- Co-authors
- Shi‐Mei ZhuangYujuan XiongChris Zhiyi ZhangJia FuJian‐Hong FangDan XieJine YangYing Zhang
- Journals
- PLoS ONE (10 papers)Cancer Letters (6 papers)Cancer Research (5 papers)BMC Cancer (5 papers)Oncotarget (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jing‐Ping Yun
141 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 2.5k
- Oncology 1.6k
- Molecular Biology 3.5k
- Hepatology 398
- Immunology 645
Countries citing papers authored by Jing‐Ping Yun
This map shows the geographic impact of Jing‐Ping Yun'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 Jing‐Ping Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Ping Yun more than expected).
Fields of papers citing papers by Jing‐Ping Yun
This network shows the impact of papers produced by Jing‐Ping Yun. 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 Jing‐Ping Yun. The network helps show where Jing‐Ping Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing‐Ping Yun, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 56 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 76 | |
| 12 | 2021 | 38 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 33 | |
| 15 | 2020 | 69 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 48 | |
| 18 | 2017 | 64 | |
| 19 | Translocation of nucleolar protein of HEP G2 cells induced by actinomycin D | 2008 | 1 |
| 20 | Bcl-2 and Bax proteins are nuclear matrix associated proteins. | 2000 | 18 |
About Jing‐Ping Yun
Jing‐Ping Yun is a scholar working on Cancer Research, Oncology, Hepatology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 151 papers that have together received 5.8k indexed citations. Recurring topics across this work include RNA modifications and cancer (17 papers), Cancer, Hypoxia, and Metabolism (15 papers), MicroRNA in disease regulation (14 papers), Viral-associated cancers and disorders (13 papers), Cancer-related molecular mechanisms research (13 papers), Cancer-related Molecular Pathways (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers) and Cancer, Lipids, and Metabolism (12 papers). The work is most often cited by research in Cancer Research (2.5k citations), Oncology (1.6k citations), Molecular Biology (3.5k citations), Hepatology (398 citations) and Immunology (645 citations). Jing‐Ping Yun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shi‐Mei Zhuang, Yujuan Xiong, Chris Zhiyi Zhang, Jia Fu, Jian‐Hong Fang, Dan Xie, Jine Yang, Ying Zhang, Li-Li Liu and Ying Zhu. Their work appears in journals such as PLoS ONE, Cancer Letters, Cancer Research, BMC Cancer and Oncotarget.
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.