Hang Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in
-
- Circular RNAs in diseases 2
- Peroxisome Proliferator-Activated Receptors 2
- Metabolism, Diabetes, and Cancer 2
- Oncology 7
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Yan Luo (3 shared papers)Bo Hu (1 shared paper)Yifan Zhou (1 shared paper)Shengcai Chen (4 shared papers)Xiaojiaoyang Li (4 shared papers)Jichun Yang (4 shared papers)Huijuan Jin (4 shared papers)Quanwei He (3 shared papers)
- Journals
- Hepatology (2 papers)International Immunopharmacology (2 papers)Neuroscience (1 paper)Toxicology (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Hang Yang
26 papers receiving 939 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 256
- Hepatology 56
- Molecular Biology 479
- Pharmacology 53
- Biomaterials 76
Countries citing papers authored by Hang Yang
This map shows the geographic impact of Hang 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 Hang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yang more than expected).
Fields of papers citing papers by Hang Yang
This network shows the impact of papers produced by Hang 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 Hang Yang. The network helps show where Hang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2019 | 97 | |
| 3 | 2020 | 91 | |
| 4 | 2013 | 74 | |
| 5 | 2010 | 68 | |
| 6 | 2011 | 56 | |
| 7 | 2011 | 54 | |
| 8 | 2020 | 45 | |
| 9 | 2021 | 38 | |
| 10 | 2016 | 38 | |
| 11 | 2016 | 32 | |
| 12 | 2017 | 32 | |
| 13 | 2016 | 31 | |
| 14 | 2020 | 30 | |
| 15 | 2021 | 27 | |
| 16 | 2019 | 21 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2017 | 13 | |
| 20 | 2020 | 8 |
About Hang Yang
Hang Yang is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Cancer Research, having authored 27 papers that have together received 945 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Cancer Research and Treatments (2 papers), Circular RNAs in diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Immune cells in cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Cancer Research (256 citations), Hepatology (56 citations), Molecular Biology (479 citations), Pharmacology (53 citations) and Biomaterials (76 citations). Hang Yang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yan Luo, Bo Hu, Yifan Zhou, Shengcai Chen, Xiaojiaoyang Li, Jichun Yang, Huijuan Jin, Quanwei He, Bo Hu and Youfei Guan. Their work appears in journals such as Hepatology, International Immunopharmacology, Neuroscience, Toxicology and Advanced Healthcare Materials.
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.