Yeqi Wang
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Wnt/β-catenin signaling in development and cancer 2
- Kruppel-like factors research 2
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- Zebrafish Biomedical Research Applications 5
- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Rainer Marquardt (2 shared papers)Huizhe Huang (4 shared papers)Anming Meng (3 shared papers)Guixue Wang (7 shared papers)Zhiqiang Li (2 shared papers)Yuan Zhu (3 shared papers)Jingyuan Tong (1 shared paper)Pengfei Xu (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Multiple Sclerosis and Related Disorders (1 paper)Scientific Reports (1 paper)iScience (1 paper)Clinical Biomechanics (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Yeqi Wang
29 papers receiving 774 citations
Yeqi Wang's Hit Papers
Peers
Comparison fields: 5 of 109
- Cell Biology 149
- Cancer Research 81
- Molecular Biology 350
- Oncology 121
- Neurology 33
Countries citing papers authored by Yeqi Wang
This map shows the geographic impact of Yeqi 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 Yeqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeqi Wang more than expected).
Fields of papers citing papers by Yeqi Wang
This network shows the impact of papers produced by Yeqi 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 Yeqi Wang. The network helps show where Yeqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeqi 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2013 | 78 | |
| 3 | Tumour vasculature at single-cell resolution Hit paper breakdown → | 2024 | 63 |
| 4 | 2011 | 62 | |
| 5 | 2007 | 54 | |
| 6 | 2014 | 45 | |
| 7 | 2012 | 43 | |
| 8 | 2018 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2006 | 36 | |
| 11 | 2020 | 33 | |
| 12 | 2018 | 24 | |
| 13 | A fast switching, scalable DC-Breaker for meshed HVDCSuperGrids | 2014 | 22 |
| 14 | 2020 | 21 | |
| 15 | 2022 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2020 | 15 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 11 |
About Yeqi Wang
Yeqi Wang is a scholar working on Molecular Biology, Cell Biology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 792 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Zebrafish Biomedical Research Applications (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Lymphatic System and Diseases (3 papers), Multiple Sclerosis Research Studies (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Cell Biology (149 citations), Cancer Research (81 citations), Molecular Biology (350 citations), Oncology (121 citations) and Neurology (33 citations). Yeqi Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Rainer Marquardt, Huizhe Huang, Anming Meng, Guixue Wang, Zhiqiang Li, Yuan Zhu, Jingyuan Tong, Pengfei Xu, Lei Huang and Esra Çağavi. Their work appears in journals such as Journal of Biological Chemistry, Multiple Sclerosis and Related Disorders, Scientific Reports, iScience and Clinical Biomechanics.
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.