Yeqi Wang
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Zebrafish Biomedical Research Applications
Papers in
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- Zebrafish Biomedical Research Applications 5
- Hippo pathway signaling and YAP/TAZ 3
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- Angiogenesis and VEGF in Cancer 5
- Single-cell and spatial transcriptomics 2
- Kruppel-like factors research 2
- Wnt/β-catenin signaling in development and cancer 2
- Co-authors
- Rainer Marquardt (2 shared papers)Huizhe Huang (4 shared papers)Guixue Wang (10 shared papers)Anming Meng (3 shared papers)Zhiqiang Li (2 shared papers)Yuan Shan Zhu (3 shared papers)Jingyuan Tong (1 shared paper)Lei Huang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Free Radical Biology and Medicine (1 paper)Chemical Engineering Journal (1 paper)Cellular and Molecular Life Sciences (1 paper)Current Molecular Medicine (1 paper)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Yeqi Wang
34 papers receiving 887 citations
Yeqi Wang's Hit Papers
Peers
Comparison fields: 5 of 108
- Cell Biology 148
- Cancer Research 81
- Molecular Biology 354
- Oncology 114
- Neurology 30
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tumour vasculature at single-cell resolution Hit paper breakdown → | 2024 | 107 |
| 2 | 2013 | 101 | |
| 3 | 2013 | 80 | |
| 4 | 2011 | 62 | |
| 5 | 2007 | 55 | |
| 6 | 2014 | 52 | |
| 7 | 2012 | 46 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 43 | |
| 10 | 2006 | 37 | |
| 11 | 2020 | 35 | |
| 12 | 2018 | 26 | |
| 13 | 2022 | 25 | |
| 14 | 2020 | 23 | |
| 15 | A fast switching, scalable DC-Breaker for meshed HVDCSuperGrids | 2014 | 22 |
| 16 | 2019 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 12 |
About Yeqi Wang
Yeqi Wang is a scholar working on Cell Biology, Molecular Biology, Neurology, Oncology and Genetics, having authored 36 papers that have together received 905 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Lymphatic System and Diseases (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), HVDC Systems and Fault Protection (2 papers), Single-cell and spatial transcriptomics (2 papers), Kruppel-like factors research (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (148 citations), Cancer Research (81 citations), Molecular Biology (354 citations), Oncology (114 citations) and Neurology (30 citations). Yeqi Wang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Rainer Marquardt, Huizhe Huang, Guixue Wang, Anming Meng, Zhiqiang Li, Yuan Shan Zhu, Jingyuan Tong, Lei Huang, Pengfei Xu and Adil Hassan. Their work appears in journals such as Journal of Biological Chemistry, Free Radical Biology and Medicine, Chemical Engineering Journal, Cellular and Molecular Life Sciences and Current Molecular Medicine.
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.