Jenn‐Yah Yu
- Molecular Biology top 5%
- Cancer Research top 2%
- Genetics top 10%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- David L. TurnerStacy L. DeRuiterMonika DeoRobert C. ThompsonTsu‐Wei WangAnne B. VojtekMingyang LiHalyna R. Shcherbata
- Topics
- Hippo pathway signaling and YAP/TAZ (9 papers)MicroRNA in disease regulation (7 papers)RNA Research and Splicing (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceMolecular and Cellular Biology
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jenn‐Yah Yu
25 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.7k
- Cancer Research 717
- Genetics 336
- Cell Biology 228
- Cellular and Molecular Neuroscience 177
Countries citing papers authored by Jenn‐Yah Yu
This map shows the geographic impact of Jenn‐Yah Yu'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 Jenn‐Yah Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenn‐Yah Yu more than expected).
Fields of papers citing papers by Jenn‐Yah Yu
This network shows the impact of papers produced by Jenn‐Yah Yu. 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 Jenn‐Yah Yu. The network helps show where Jenn‐Yah Yu may publish in the future.
Co-authorship network of co-authors of Jenn‐Yah Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jenn‐Yah Yu. A scholar is included among the top collaborators of Jenn‐Yah Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jenn‐Yah Yu. Jenn‐Yah Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 31 | |
| 10 | 55 | |
| 11 | 43 | |
| 12 | 41 | |
| 13 | 119 | |
| 14 | 269 | |
| 15 | 55 | |
| 16 | 8 | |
| 17 | 240 | |
| 18 | 13 | |
| 19 | 95 | |
| 20 | RNA interference by expression of short-interfering RNAs and hairpin RNAs in mammalian cellsbreakdown → | 822 |
About Jenn‐Yah Yu
Jenn‐Yah Yu is a scholar working on Developmental Neuroscience, Cell Biology and Cancer Research, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (9 papers), MicroRNA in disease regulation (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (717 citations), Developmental Neuroscience (153 citations) and Molecular Biology (1.7k citations). Jenn‐Yah Yu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include David L. Turner, Stacy L. DeRuiter, Monika Deo, Robert C. Thompson, Tsu‐Wei Wang, Anne B. Vojtek, Mingyang Li, Halyna R. Shcherbata, Hannele Ruohola‐Baker and Claudia Figueroa‐Romero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Molecular and Cellular 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.