Dawei Yang
Impact in
- Oncology top 10%
- Lung Cancer Research Studies
- Pancreatic and Hepatic Oncology Research
- Peptidase Inhibition and Analysis
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 2
- Glycosylation and Glycoproteins Research 1
- Oncology 5
- Cancer-related Molecular Pathways 2
- Co-authors
- Na Lu (7 shared papers)Binyan Lin (4 shared papers)Xiuming Song (1 shared paper)Wei Zhang (1 shared paper)Jie Yin (1 shared paper)Xingling Yi (1 shared paper)Y. Ding (2 shared papers)Tao Wu (2 shared papers)
- Journals
- Journal of Cellular Physiology (2 papers)Archives of Toxicology (2 papers)Insights into Imaging (1 paper)Gene (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dawei Yang
16 papers receiving 647 citations
Peers
Comparison fields: 5 of 85
- Oncology 230
- Cancer Research 99
- Aging 11
- Molecular Biology 235
- Pulmonary and Respiratory Medicine 79
Countries citing papers authored by Dawei Yang
This map shows the geographic impact of Dawei 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 Dawei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Yang more than expected).
Fields of papers citing papers by Dawei Yang
This network shows the impact of papers produced by Dawei 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 Dawei Yang. The network helps show where Dawei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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 | 2018 | 296 | |
| 2 | 2022 | 95 | |
| 3 | 2008 | 69 | |
| 4 | 2020 | 56 | |
| 5 | 2021 | 39 | |
| 6 | 1996 | 25 | |
| 7 | 2017 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 4 | |
| 12 | P15, MDM2, NF-κB, and Bcl-2 expression in primary bone tumor and correlation with tumor formation and metastasis. | 2015 | 4 |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Dawei Yang
Dawei Yang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Infectious Diseases, having authored 17 papers that have together received 652 indexed citations. Recurring topics across this work include Immune cells in cancer (3 papers), Cancer-related Molecular Pathways (2 papers), Flavonoids in Medical Research (2 papers), Cancer Mechanisms and Therapy (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Bone Tumor Diagnosis and Treatments (1 paper). The work is most often cited by research in Oncology (230 citations), Cancer Research (99 citations), Aging (11 citations), Molecular Biology (235 citations) and Pulmonary and Respiratory Medicine (79 citations). Dawei Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Na Lu, Binyan Lin, Xiuming Song, Wei Zhang, Jie Yin, Xingling Yi, Y. Ding, Tao Wu, Qinglong Guo and Xiaoyu Tian. Their work appears in journals such as Journal of Cellular Physiology, Archives of Toxicology, Insights into Imaging, Gene and Cancer Epidemiology Biomarkers & Prevention.
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.