Qiwen Fan
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 4
- Microtubule and mitosis dynamics 2
- Immunology and Allergy top 5%
- Immunology top 10%
- Molecular Biology top 10%
- Signaling Pathways in Disease 5
- Glycosylation and Glycoproteins Research 3
- Biochemical and Structural Characterization 3
- Wnt/β-catenin signaling in development and cancer 3
- Physiology top 10%
- Alzheimer's disease research and treatments 2
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- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Makoto MichikawaKatsuhiko YanagisawaKenji KadomatsuTakao SendaIchiro IsobeNaohiko KunoWei YuTakashi Muramatsu
- Journals
- Journal of Neurochemistry (4 papers)Development Growth & Differentiation (2 papers)Protein Expression and Purification (2 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Qiwen Fan
27 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 365
- Immunology and Allergy 103
- Immunology 344
- Molecular Biology 1.0k
- Physiology 316
Countries citing papers authored by Qiwen Fan
This map shows the geographic impact of Qiwen Fan'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 Qiwen Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiwen Fan more than expected).
Fields of papers citing papers by Qiwen Fan
This network shows the impact of papers produced by Qiwen Fan. 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 Qiwen Fan. The network helps show where Qiwen Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiwen Fan, 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 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 10 | |
| 6 | 2011 | 3 | |
| 7 | 2008 | 95 | |
| 8 | 2001 | 107 | |
| 9 | 2001 | 113 | |
| 10 | 2000 | 207 | |
| 11 | 2000 | 23 | |
| 12 | 1999 | 17 | |
| 13 | 1998 | 100 | |
| 14 | 1998 | 245 | |
| 15 | 1998 | 39 | |
| 16 | 1998 | 72 | |
| 17 | 1998 | 124 | |
| 18 | 1998 | 68 | |
| 19 | 1998 | 120 | |
| 20 | 1995 | 28 |
About Qiwen Fan
Qiwen Fan is a scholar working on Cell Biology, Biotechnology, Molecular Biology, Endocrinology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Biochemical and Structural Characterization (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Alzheimer's disease research and treatments (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (365 citations), Immunology and Allergy (103 citations), Immunology (344 citations), Molecular Biology (1.0k citations) and Physiology (316 citations). Qiwen Fan has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Makoto Michikawa, Katsuhiko Yanagisawa, Kenji Kadomatsu, Takao Senda, Ichiro Isobe, Naohiko Kuno, Wei Yu, Takashi Muramatsu, William A. Weiss and Tadahiko Igakura. Their work appears in journals such as Journal of Neurochemistry, Development Growth & Differentiation, Protein Expression and Purification, Journal of Agricultural and Food Chemistry and FEBS Letters.
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.