Yu‐Chiun Wang
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Aging top 10%
Papers in
- Cell Biology 12
- Cellular Mechanics and Interactions 12
- Microtubule and mitosis dynamics 5
- Hippo pathway signaling and YAP/TAZ 3
- Aging 1
- Co-authors
- Edwin L. FergusonZia KhanEric WieschausMatthias KaschubeSteven D. PodosKirsten K. HansonMustafa M. SamiMichiko Takeda
- Journals
- Developmental Cell (3 papers)Nature (3 papers)Nature Cell Biology (1 paper)Current Biology (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yu‐Chiun Wang
18 papers receiving 701 citations
Peers
Comparison fields: 5 of 89
- Cell Biology 385
- Aging 19
- Biophysics 40
- Molecular Biology 473
- Cellular and Molecular Neuroscience 72
Countries citing papers authored by Yu‐Chiun Wang
This map shows the geographic impact of Yu‐Chiun 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 Yu‐Chiun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chiun Wang more than expected).
Fields of papers citing papers by Yu‐Chiun Wang
This network shows the impact of papers produced by Yu‐Chiun 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 Yu‐Chiun Wang. The network helps show where Yu‐Chiun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Chiun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 29 | |
| 8 | 2019 | 2 | |
| 9 | 2017 | 26 | |
| 10 | 2017 | 55 | |
| 11 | 2014 | 45 | |
| 12 | 2013 | 48 | |
| 13 | 2013 | 33 | |
| 14 | 2012 | 131 | |
| 15 | 2012 | 18 | |
| 16 | 2010 | 1 | |
| 17 | 2005 | 173 | |
| 18 | 2001 | 93 |
About Yu‐Chiun Wang
Yu‐Chiun Wang is a scholar working on Cell Biology, Aging, Statistics, Probability and Uncertainty, Analytical Chemistry and Biophysics, having authored 18 papers that have together received 710 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Microtubule and mitosis dynamics (5 papers), Developmental Biology and Gene Regulation (5 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Neurobiology and Insect Physiology Research (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cell Biology (385 citations), Aging (19 citations), Biophysics (40 citations), Molecular Biology (473 citations) and Cellular and Molecular Neuroscience (72 citations). Yu‐Chiun Wang has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Edwin L. Ferguson, Zia Khan, Eric Wieschaus, Matthias Kaschube, Steven D. Podos, Kirsten K. Hanson, Mustafa M. Sami, Michiko Takeda, Tatsuo Shibata and Jackie Gavin‐Smyth. Their work appears in journals such as Developmental Cell, Nature, Nature Cell Biology, Current Biology and Seminars in Cell and Developmental Biology.
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.