Yang Han
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Extracellular vesicles in disease
Papers in
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- RNA modifications and cancer 8
- Ubiquitin and proteasome pathways 4
- Circular RNAs in diseases 4
- Cancer-related gene regulation 3
- Extracellular vesicles in disease 3
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- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Xin Wang (16 shared papers)Xiangxiang Zhou (13 shared papers)Yiqing Cai (8 shared papers)Jiarui Liu (9 shared papers)Juan Yang (10 shared papers)Shunfeng Hu (8 shared papers)Yi Zhao (7 shared papers)Shuai Ren (7 shared papers)
- Journals
- Blood (6 papers)Journal of Dermatological Science (2 papers)Biomarker Research (2 papers)Diagnostic Pathology (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Han
42 papers receiving 631 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 135
- Molecular Biology 370
- Immunology 66
- Cell Biology 50
- Oncology 72
Countries citing papers authored by Yang Han
This map shows the geographic impact of Yang Han'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 Yang Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Han more than expected).
Fields of papers citing papers by Yang Han
This network shows the impact of papers produced by Yang Han. 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 Yang Han. The network helps show where Yang Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Han, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2021 | 74 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 35 | |
| 5 | 2023 | 32 | |
| 6 | 2018 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2012 | 25 | |
| 10 | 2015 | 22 | |
| 11 | 2021 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2016 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2023 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2017 | 15 | |
| 19 | 2021 | 15 | |
| 20 | 2016 | 14 |
About Yang Han
Yang Han is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Cell Biology and Surgery, having authored 43 papers that have together received 633 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Ubiquitin and proteasome pathways (4 papers), Circular RNAs in diseases (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Microtubule and mitosis dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer-related gene regulation (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Cancer Research (135 citations), Molecular Biology (370 citations), Immunology (66 citations), Cell Biology (50 citations) and Oncology (72 citations). Yang Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin Wang, Xiangxiang Zhou, Yiqing Cai, Jiarui Liu, Juan Yang, Shunfeng Hu, Yi Zhao, Shuai Ren, Guosheng Jiang and Xiao‐Ning Wang. Their work appears in journals such as Blood, Journal of Dermatological Science, Biomarker Research, Diagnostic Pathology and Cell Death and Disease.
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.