Ping Yang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in ⓘ
-
- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 20
- Cancer, Lipids, and Metabolism 12
- Cancer, Hypoxia, and Metabolism 9
- Oncology 29
- Co-authors
- Yu Zhu (13 shared papers)Xiong Z. Ruan (11 shared papers)Lei Zhao (10 shared papers)Yaxi Chen (7 shared papers)Yuan Jiang (3 shared papers)Han Zeng (7 shared papers)Wei Li (4 shared papers)John F. Moorhead (6 shared papers)
- Journals
- Scientific Reports (6 papers)Frontiers in Oncology (3 papers)Cell Death and Disease (3 papers)Frontiers in Genetics (3 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ping Yang
149 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 1.4k
- Molecular Biology 1.8k
- Oncology 492
- Immunology 325
- Endocrine and Autonomic Systems 79
Countries citing papers authored by Ping Yang
This map shows the geographic impact of Ping 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 Ping Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Yang more than expected).
Fields of papers citing papers by Ping Yang
This network shows the impact of papers produced by Ping 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 Ping Yang. The network helps show where Ping Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD36-mediated metabolic crosstalk between tumor cells and macrophages affects liver metastasis Hit paper breakdown → | 2022 | 201 |
| 2 | 2013 | 185 | |
| 3 | 2016 | 171 | |
| 4 | 2021 | 146 | |
| 5 | 2019 | 140 | |
| 6 | 2016 | 126 | |
| 7 | 2018 | 108 | |
| 8 | 2014 | 99 | |
| 9 | 2015 | 74 | |
| 10 | 2014 | 73 | |
| 11 | 2018 | 71 | |
| 12 | 2013 | 63 | |
| 13 | 2018 | 54 | |
| 14 | 1996 | 53 | |
| 15 | 2014 | 52 | |
| 16 | 2015 | 52 | |
| 17 | 2020 | 47 | |
| 18 | 2020 | 45 | |
| 19 | 2020 | 41 | |
| 20 | 2014 | 39 |
About Ping Yang
Ping Yang is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 159 papers that have together received 3.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (20 papers), Circular RNAs in diseases (13 papers), Cancer, Lipids, and Metabolism (12 papers), Peroxisome Proliferator-Activated Receptors (12 papers), RNA modifications and cancer (11 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (1.8k citations), Oncology (492 citations), Immunology (325 citations) and Endocrine and Autonomic Systems (79 citations). Ping Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Zhu, Xiong Z. Ruan, Lei Zhao, Yaxi Chen, Yuan Jiang, Han Zeng, Wei Li, John F. Moorhead, Zac Varghese and Enze Zheng. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Cell Death and Disease, Frontiers in Genetics and Cancer Letters.
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.