Weiwei Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- interferon and immune responses
Papers in
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- RNA modifications and cancer 7
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 5
- Co-authors
- Xiaoming Jin (8 shared papers)Ning Ning (3 shared papers)He Chen (2 shared papers)Tianzhen Wang (7 shared papers)Zheng‐Xiang Li (6 shared papers)Ming Chen (1 shared paper)Qiuting Wen (1 shared paper)Li Xu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Cell Death and Disease (2 papers)EMBO Reports (2 papers)Tumor Biology (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Weiwei Yang
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Cancer Research 456
- Immunology 256
- Molecular Biology 709
- Oncology 279
- Epidemiology 141
Countries citing papers authored by Weiwei Yang
This map shows the geographic impact of Weiwei 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 Weiwei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Yang more than expected).
Fields of papers citing papers by Weiwei Yang
This network shows the impact of papers produced by Weiwei 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 Weiwei Yang. The network helps show where Weiwei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2019 | 98 | |
| 3 | 2009 | 86 | |
| 4 | 2017 | 72 | |
| 5 | 2022 | 65 | |
| 6 | 2017 | 65 | |
| 7 | 2018 | 56 | |
| 8 | 2013 | 51 | |
| 9 | 2018 | 41 | |
| 10 | 2013 | 39 | |
| 11 | 2015 | 36 | |
| 12 | 2019 | 32 | |
| 13 | 2020 | 30 | |
| 14 | 2017 | 29 | |
| 15 | 2020 | 25 | |
| 16 | 2015 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2019 | 20 | |
| 20 | 2020 | 19 |
About Weiwei Yang
Weiwei Yang is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Cell Biology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), MicroRNA in disease regulation (5 papers), Autophagy in Disease and Therapy (4 papers), interferon and immune responses (4 papers), Galectins and Cancer Biology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (456 citations), Immunology (256 citations), Molecular Biology (709 citations), Oncology (279 citations) and Epidemiology (141 citations). Weiwei Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoming Jin, Ning Ning, He Chen, Tianzhen Wang, Zheng‐Xiang Li, Ming Chen, Qiuting Wen, Li Xu, Yinji Jin and Kun Qiao. Their work appears in journals such as Scientific Reports, Cell Death and Disease, EMBO Reports, Tumor Biology and BioMed Research International.
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.