Weige Yang
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Protease and Inhibitor Mechanisms
- MicroRNA in disease regulation
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- Peptidase Inhibition and Analysis
- Bone health and treatments
Papers in
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- MicroRNA in disease regulation 3
- Breast Cancer Treatment Studies 2
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Masayuki Imamura (5 shared papers)Shigeki Arii (5 shared papers)Akira Mori (4 shared papers)Hisashi Onodera (3 shared papers)Seiichi Yasuda (3 shared papers)Naoki Isobe (2 shared papers)Akihisa Fujimoto (2 shared papers)Hiromi Sakashita (1 shared paper)
- Journals
- Cancer (2 papers)Journal of Enterprise Information Management (1 paper)Human Cell (1 paper)Journal of Hepatology (1 paper)Tumor Biology (1 paper)
- Partner nations
- ChinaJapanSwitzerland
In The Last Decade
Weige Yang
16 papers receiving 392 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 191
- Oncology 150
- Hepatology 28
- Endocrinology, Diabetes and Metabolism 44
- Molecular Biology 171
Countries citing papers authored by Weige Yang
This map shows the geographic impact of Weige 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 Weige Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weige Yang more than expected).
Fields of papers citing papers by Weige Yang
This network shows the impact of papers produced by Weige 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 Weige Yang. The network helps show where Weige Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weige 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 115 | |
| 2 | 2001 | 86 | |
| 3 | 2018 | 50 | |
| 4 | 2004 | 28 | |
| 5 | 2015 | 24 | |
| 6 | 2021 | 22 | |
| 7 | 2008 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 2021 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2001 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2017 | 1 |
About Weige Yang
Weige Yang is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Immunology, having authored 16 papers that have together received 405 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Breast Cancer Treatment Studies (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Breast Lesions and Carcinomas (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (191 citations), Oncology (150 citations), Hepatology (28 citations), Endocrinology, Diabetes and Metabolism (44 citations) and Molecular Biology (171 citations). Weige Yang has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Masayuki Imamura, Shigeki Arii, Akira Mori, Hisashi Onodera, Seiichi Yasuda, Naoki Isobe, Akihisa Fujimoto, Hiromi Sakashita, Yoshikuni Yonenaga and Hideaki Oe. Their work appears in journals such as Cancer, Journal of Enterprise Information Management, Human Cell, Journal of Hepatology and Tumor Biology.
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.