Weimin Fu
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Molecular Biology top 10%
- Developmental Biology and Gene Regulation
- Wnt/β-catenin signaling in development and cancer
- Pluripotent Stem Cells Research
- Cell death mechanisms and regulation
Papers in
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- Developmental Biology and Gene Regulation 5
- Pluripotent Stem Cells Research 1
- Ubiquitin and proteasome pathways 1
- Cell death mechanisms and regulation 1
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- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Lixin Kan (2 shared papers)John A. Kessler (2 shared papers)Markus Noll (3 shared papers)Nipan Israsena (1 shared paper)Min Hu (1 shared paper)Adolfo Ernesto Cuadra (1 shared paper)José Javier Otero (1 shared paper)Nicholas E. Baker (1 shared paper)
- Journals
- Development (4 papers)Thyroid (2 papers)Developmental Biology (2 papers)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Weimin Fu
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 43
- Developmental Neuroscience 121
- Molecular Biology 473
- Endocrinology, Diabetes and Metabolism 100
- Sensory Systems 14
- Oncology 38
Countries citing papers authored by Weimin Fu
This map shows the geographic impact of Weimin Fu'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 Weimin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weimin Fu more than expected).
Fields of papers citing papers by Weimin Fu
This network shows the impact of papers produced by Weimin Fu. 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 Weimin Fu. The network helps show where Weimin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weimin Fu, 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 | 2000 | 210 | |
| 2 | 2004 | 199 | |
| 3 | 2004 | 174 | |
| 4 | 2012 | 106 | |
| 5 | 2007 | 86 | |
| 6 | 1999 | 71 | |
| 7 | 1998 | 68 | |
| 8 | 2003 | 65 | |
| 9 | 2006 | 37 | |
| 10 | 1999 | 28 | |
| 11 | 2005 | 24 | |
| 12 | 2016 | 19 | |
| 13 | 2011 | 2 |
About Weimin Fu
Weimin Fu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Genetics and Nuclear Energy and Engineering, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (5 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Pluripotent Stem Cells Research (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Cell death mechanisms and regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Developmental Neuroscience (121 citations), Molecular Biology (473 citations), Endocrinology, Diabetes and Metabolism (100 citations), Sensory Systems (14 citations) and Oncology (38 citations). Weimin Fu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Lixin Kan, John A. Kessler, Markus Noll, Nipan Israsena, Min Hu, Adolfo Ernesto Cuadra, José Javier Otero, Nicholas E. Baker, Huajun Yan and Utpal K. Banerjee. Their work appears in journals such as Development, Thyroid, Developmental Biology, Cell and Proceedings of the National Academy of Sciences.
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.