Yuka Morikawa
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Molecular Biology top 5%
- Congenital heart defects research
- RNA Research and Splicing
Papers in
- Cell Biology 12
- Hippo pathway signaling and YAP/TAZ 10
-
- Congenital heart defects research 19
- RNA Research and Splicing 4
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 3
- Co-authors
- James F. MartinTodd R. HeallenJohn P. LeachPeter CserjesiGe TaoJames T. WillersonMin ZhangMatthew C. Hill
- Journals
- Development (6 papers)Circulation Research (5 papers)Nature (4 papers)Developmental Biology (4 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Yuka Morikawa
47 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 107
- Cell Biology 781
- Molecular Biology 2.2k
- Cardiology and Cardiovascular Medicine 616
- Surgery 922
- Cancer Research 310
Countries citing papers authored by Yuka Morikawa
This map shows the geographic impact of Yuka Morikawa'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 Yuka Morikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Morikawa more than expected).
Fields of papers citing papers by Yuka Morikawa
This network shows the impact of papers produced by Yuka Morikawa. 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 Yuka Morikawa. The network helps show where Yuka Morikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuka Morikawa, 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 | 2024 | 5 | |
| 2 | 2024 | 21 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 75 | |
| 5 | 2020 | 15 | |
| 6 | 2018 | 139 | |
| 7 | 2017 | 215 | |
| 8 | 2017 | 300 | |
| 9 | 2016 | 56 | |
| 10 | 2015 | 112 | |
| 11 | 2014 | 74 | |
| 12 | 2014 | 35 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 112 | |
| 15 | 2009 | 5 | |
| 16 | 2007 | 80 | |
| 17 | 2005 | 26 | |
| 18 | 2002 | 8 | |
| 19 | 2002 | 265 | |
| 20 | 1998 | 9 |
About Yuka Morikawa
Yuka Morikawa is a scholar working on Cell Biology, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Behavioral Neuroscience, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Congenital heart defects research (19 papers), Hippo pathway signaling and YAP/TAZ (10 papers), RNA Research and Splicing (4 papers), Ubiquitin and proteasome pathways (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hormonal Regulation and Hypertension (3 papers), Ultrasound Imaging and Elastography (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (781 citations), Molecular Biology (2.2k citations), Cardiology and Cardiovascular Medicine (616 citations), Surgery (922 citations) and Cancer Research (310 citations). Yuka Morikawa has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include James F. Martin, Todd R. Heallen, John P. Leach, Peter Cserjesi, Ge Tao, James T. Willerson, Min Zhang, Matthew C. Hill, Yang Xiao and Naoko Ubukata. Their work appears in journals such as Development, Circulation Research, Nature, Developmental Biology and Journal of Pharmacology and Experimental Therapeutics.
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.