Wei Bin Fang
Impact in
-
- Axon Guidance and Neuronal Signaling
- Oncology top 5%
- Chemokine receptors and signaling
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
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- Angiogenesis and VEGF in Cancer 7
- RNA modifications and cancer 3
- Oncology 19
- Cancer Cells and Metastasis 9
- Chemokine receptors and signaling 9
- Co-authors
- Jin Chen (9 shared papers)Nikki Cheng (19 shared papers)Dana M. Brantley‐Sieders (7 shared papers)Yoonha Hwang (3 shared papers)Donna J. Hicks (3 shared papers)Guanglei Zhuang (3 shared papers)Min Yao (7 shared papers)An Zou (3 shared papers)
- Journals
- Cancer Research (4 papers)Scientific Reports (2 papers)Neoplasia (2 papers)Molecular Cancer Research (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Wei Bin Fang
43 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 620
- Oncology 693
- Cell Biology 385
- Cancer Research 273
- Immunology 376
Countries citing papers authored by Wei Bin Fang
This map shows the geographic impact of Wei Bin Fang'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 Wei Bin Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bin Fang more than expected).
Fields of papers citing papers by Wei Bin Fang
This network shows the impact of papers produced by Wei Bin Fang. 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 Wei Bin Fang. The network helps show where Wei Bin Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Bin Fang, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 223 | |
| 2 | 2012 | 168 | |
| 3 | 2003 | 123 | |
| 4 | 2006 | 113 | |
| 5 | 2005 | 109 | |
| 6 | 2008 | 106 | |
| 7 | 2005 | 105 | |
| 8 | 2016 | 103 | |
| 9 | 2008 | 101 | |
| 10 | 2016 | 100 | |
| 11 | 2003 | 79 | |
| 12 | 2018 | 52 | |
| 13 | 2017 | 44 | |
| 14 | 2022 | 43 | |
| 15 | 2022 | 38 | |
| 16 | 2019 | 34 | |
| 17 | 2011 | 30 | |
| 18 | 2014 | 29 | |
| 19 | 2015 | 29 | |
| 20 | 2015 | 27 |
About Wei Bin Fang
Wei Bin Fang is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Cancer Research, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Chemokine receptors and signaling (9 papers), Axon Guidance and Neuronal Signaling (8 papers), Immunotherapy and Immune Responses (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cancer, Hypoxia, and Metabolism (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (620 citations), Oncology (693 citations), Cell Biology (385 citations), Cancer Research (273 citations) and Immunology (376 citations). Wei Bin Fang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jin Chen, Nikki Cheng, Dana M. Brantley‐Sieders, Yoonha Hwang, Donna J. Hicks, Guanglei Zhuang, Min Yao, An Zou, Alastair D. Reith and Dowdy Jackson. Their work appears in journals such as Cancer Research, Scientific Reports, Neoplasia, Molecular Cancer Research and Journal of Biological Chemistry.
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.