Cunle Wu
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Fungal and yeast genetics research
- Protein Kinase Regulation and GTPase Signaling
- Plant Reproductive Biology
Papers in
-
- Fungal and yeast genetics research 20
- Protein Kinase Regulation and GTPase Signaling 7
- Plant Reproductive Biology 4
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 2
-
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- David Y. Thomas (13 shared papers)Malcolm Whiteway (18 shared papers)Ekkehard Leberer (8 shared papers)Thomas Leeuw (4 shared papers)Gregor Jansen (5 shared papers)Anne Fourest‐Lieuvin (2 shared papers)Karen Clark (2 shared papers)Joseph D. Schrag (1 shared paper)
- Journals
- Molecular Biology of the Cell (4 papers)Journal of Biological Chemistry (4 papers)Eukaryotic Cell (2 papers)Science (2 papers)Gene (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Cunle Wu
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 71
- Cell Biology 443
- Molecular Biology 1.3k
- Pharmacology 208
- Aging 21
- Plant Science 232
Countries citing papers authored by Cunle Wu
This map shows the geographic impact of Cunle Wu'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 Cunle Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cunle Wu more than expected).
Fields of papers citing papers by Cunle Wu
This network shows the impact of papers produced by Cunle Wu. 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 Cunle Wu. The network helps show where Cunle Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cunle Wu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 185 | |
| 2 | 1995 | 177 | |
| 3 | 1995 | 158 | |
| 4 | 2004 | 155 | |
| 5 | 1995 | 149 | |
| 6 | 1996 | 87 | |
| 7 | 1997 | 78 | |
| 8 | 2006 | 75 | |
| 9 | 1999 | 66 | |
| 10 | 1998 | 41 | |
| 11 | 2003 | 34 | |
| 12 | 2004 | 32 | |
| 13 | 2011 | 32 | |
| 14 | 2009 | 31 | |
| 15 | 2008 | 26 | |
| 16 | 1993 | 25 | |
| 17 | 1993 | 24 | |
| 18 | 2013 | 15 | |
| 19 | 2019 | 12 | |
| 20 | 2021 | 8 |
About Cunle Wu
Cunle Wu is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (20 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Plant Reproductive Biology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cell Biology (443 citations), Molecular Biology (1.3k citations), Pharmacology (208 citations), Aging (21 citations) and Plant Science (232 citations). Cunle Wu has collaborated with scholars based in Canada and United States. Frequent co-authors include David Y. Thomas, Malcolm Whiteway, Ekkehard Leberer, Thomas Leeuw, Gregor Jansen, Anne Fourest‐Lieuvin, Karen Clark, Joseph D. Schrag, Babette Schade and Janet Chênevert. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Eukaryotic Cell, Science and Gene.
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.