Han Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Circular RNAs in diseases 8
- Epigenetics and DNA Methylation 7
- Cancer-related gene regulation 6
- RNA Research and Splicing 5
- Ubiquitin and proteasome pathways 5
- Hedgehog Signaling Pathway Studies 5
- Oncology 19
- 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)Shan Shan (3 shared papers)
- Journals
- Cell Death and Disease (3 papers)Plant Biotechnology Journal (2 papers)Immunology Letters (2 papers)PLoS ONE (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Han Yang
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 515
- Oncology 427
- Immunology 294
- Molecular Biology 934
- Neurology 51
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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 142 | |
| 2 | 2012 | 95 | |
| 3 | 2012 | 93 | |
| 4 | 2017 | 87 | |
| 5 | 2012 | 74 | |
| 6 | 2012 | 72 | |
| 7 | 2021 | 67 | |
| 8 | 2016 | 66 | |
| 9 | 2017 | 61 | |
| 10 | 2021 | 61 | |
| 11 | 2016 | 60 | |
| 12 | 2020 | 60 | |
| 13 | 2017 | 54 | |
| 14 | 2019 | 54 | |
| 15 | 2018 | 44 | |
| 16 | 2015 | 43 | |
| 17 | 2014 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2018 | 40 | |
| 20 | 2021 | 40 |
About Han Yang
Han Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 73 papers that have together received 2.0k 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 Cells and Metastasis (6 papers), Cancer-related gene regulation (6 papers), RNA Research and Splicing (5 papers), Ubiquitin and proteasome pathways (5 papers) and Hedgehog Signaling Pathway Studies (5 papers). The work is most often cited by research in Cancer Research (515 citations), Oncology (427 citations), Immunology (294 citations), Molecular Biology (934 citations) and Neurology (51 citations). Han Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Tao Ren, Qinchuan Li, Zhongliang Guo, Gang Li, Baisheng Huang, Lixiang Wu, Su Lu, Shan Shan, Chunhong Wang and Chongzhi Zhou. Their work appears in journals such as Cell Death and Disease, Plant Biotechnology Journal, Immunology Letters, PLoS ONE and Blood.
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.