Han Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- Circular RNAs in diseases 8
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 7
- RNA Research and Splicing 5
- Hedgehog Signaling Pathway Studies 5
- Ubiquitin and proteasome pathways 4
- Oncology 18
- Cancer Cells and Metastasis 6
- Co-authors
- Tao Ren (6 shared papers)Qinchuan Li (3 shared papers)Zhongliang Guo (3 shared papers)Gang Li (3 shared papers)Baisheng Huang (3 shared papers)Lixiang Wu (3 shared papers)Su Lu (7 shared papers)Chunhong Wang (3 shared papers)
- Journals
- Cell Death and Disease (3 papers)PLoS ONE (2 papers)Plant Biotechnology Journal (2 papers)Immunology Letters (2 papers)Environmental Toxicology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Han Yang
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 470
- Immunology 280
- Oncology 323
- Molecular Biology 809
- Neurology 49
Countries citing papers authored by Han Yang
This map shows the geographic impact of Han 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 Han Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Yang more than expected).
Fields of papers citing papers by Han Yang
This network shows the impact of papers produced by Han 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 Han Yang. The network helps show where Han Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2012 | 87 | |
| 3 | 2017 | 84 | |
| 4 | 2012 | 71 | |
| 5 | 2012 | 68 | |
| 6 | 2016 | 64 | |
| 7 | 2021 | 61 | |
| 8 | 2017 | 60 | |
| 9 | 2016 | 60 | |
| 10 | 2020 | 56 | |
| 11 | 2021 | 56 | |
| 12 | 2019 | 52 | |
| 13 | 2017 | 50 | |
| 14 | 2018 | 46 | |
| 15 | 2015 | 41 | |
| 16 | 2019 | 39 | |
| 17 | 2014 | 39 | |
| 18 | 2018 | 38 | |
| 19 | 2021 | 37 | |
| 20 | 2013 | 37 |
About Han Yang
Han Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (8 papers), Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (7 papers), Cancer Cells and Metastasis (6 papers), RNA Research and Splicing (5 papers), Hedgehog Signaling Pathway Studies (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (470 citations), Immunology (280 citations), Oncology (323 citations), Molecular Biology (809 citations) and Neurology (49 citations). Han Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Ren, Qinchuan Li, Zhongliang Guo, Gang Li, Baisheng Huang, Lixiang Wu, Su Lu, Chunhong Wang, Shan Shan and Chongzhi Zhou. Their work appears in journals such as Cell Death and Disease, PLoS ONE, Plant Biotechnology Journal, Immunology Letters and Environmental Toxicology.
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.