Daisong Wang
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
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- Pluripotent Stem Cells Research
- Wnt/β-catenin signaling in development and cancer
- Single-cell and spatial transcriptomics
- Angiogenesis and VEGF in Cancer
Papers in
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- Angiogenesis and VEGF in Cancer 2
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- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Yi Arial Zeng (9 shared papers)Qing Yu (3 shared papers)Xiaobing Dong (1 shared paper)Xiao‐Ou Zhang (1 shared paper)Cheguo Cai (1 shared paper)Li Yang (1 shared paper)Jingqiang Wang (5 shared papers)Wenqian Song (1 shared paper)
- Journals
- Pharmacology Biochemistry and Behavior (2 papers)Nature (2 papers)Cell stem cell (1 paper)Nature Protocols (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaNetherlandsSwitzerland
In The Last Decade
Daisong Wang
18 papers receiving 745 citations
Peers
Comparison fields: 5 of 76
- Oncology 240
- Molecular Biology 392
- Cancer Research 77
- Cellular and Molecular Neuroscience 81
- Genetics 41
Countries citing papers authored by Daisong Wang
This map shows the geographic impact of Daisong Wang'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 Daisong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisong Wang more than expected).
Fields of papers citing papers by Daisong Wang
This network shows the impact of papers produced by Daisong Wang. 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 Daisong Wang. The network helps show where Daisong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisong Wang, 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 | 2014 | 265 | |
| 2 | 2020 | 145 | |
| 3 | 2016 | 108 | |
| 4 | 2012 | 38 | |
| 5 | 2016 | 31 | |
| 6 | 2013 | 26 | |
| 7 | 2023 | 25 | |
| 8 | 2017 | 25 | |
| 9 | 2013 | 18 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2025 | 10 | |
| 14 | 2025 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2025 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2025 | 1 |
About Daisong Wang
Daisong Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Oncology and Immunology, having authored 18 papers that have together received 747 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (4 papers), Cancer Cells and Metastasis (3 papers), Pancreatic function and diabetes (3 papers), Pain Mechanisms and Treatments (2 papers), Psychedelics and Drug Studies (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Oncology (240 citations), Molecular Biology (392 citations), Cancer Research (77 citations), Cellular and Molecular Neuroscience (81 citations) and Genetics (41 citations). Daisong Wang has collaborated with scholars based in China, Netherlands and Switzerland. Frequent co-authors include Yi Arial Zeng, Qing Yu, Xiaobing Dong, Xiao‐Ou Zhang, Cheguo Cai, Li Yang, Jingqiang Wang, Wenqian Song, Hans Clevers and Hong Pan. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Nature, Cell stem cell, Nature Protocols and Cell Research.
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.