Sang‐Wook Cha
Impact in
- Aging top 10%
-
- Wnt/β-catenin signaling in development and cancer
- Developmental Biology and Gene Regulation
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Congenital heart defects research
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- Developmental Biology and Gene Regulation 13
- Wnt/β-catenin signaling in development and cancer 8
- Pluripotent Stem Cells Research 7
- Congenital heart defects research 5
- Cancer-related gene regulation 5
- CRISPR and Genetic Engineering 5
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- Hippo pathway signaling and YAP/TAZ 3
- Co-authors
- Emmanuel Tadjuidje (10 shared papers)Janet Heasman (9 shared papers)Christopher Wylie (8 shared papers)Shelby A. Blythe (2 shared papers)Peter S. Klein (2 shared papers)Qinghua Tao (2 shared papers)Aaron M. Zorn (3 shared papers)Yetki Aslan (1 shared paper)
- Journals
- PLoS ONE (5 papers)Biochemical and Biophysical Research Communications (4 papers)Development (3 papers)Developmental Cell (2 papers)Developmental Dynamics (2 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sang‐Wook Cha
28 papers receiving 621 citations
Peers
Comparison fields: 5 of 58
- Aging 28
- Molecular Biology 548
- Cell Biology 67
- Genetics 101
- Developmental Neuroscience 10
Countries citing papers authored by Sang‐Wook Cha
This map shows the geographic impact of Sang‐Wook Cha'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 Sang‐Wook Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Wook Cha more than expected).
Fields of papers citing papers by Sang‐Wook Cha
This network shows the impact of papers produced by Sang‐Wook Cha. 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 Sang‐Wook Cha. The network helps show where Sang‐Wook Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sang‐Wook Cha, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 131 | |
| 2 | 2008 | 119 | |
| 3 | 2017 | 60 | |
| 4 | 2009 | 55 | |
| 5 | 2019 | 37 | |
| 6 | 2011 | 24 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 17 | |
| 9 | 2004 | 16 | |
| 10 | 2011 | 16 | |
| 11 | 2012 | 15 | |
| 12 | 2002 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2003 | 12 | |
| 15 | 2011 | 11 | |
| 16 | 2013 | 9 | |
| 17 | 2009 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2012 | 6 |
About Sang‐Wook Cha
Sang‐Wook Cha is a scholar working on Molecular Biology, Cell Biology, Genetics, Aging and Infectious Diseases, having authored 28 papers that have together received 626 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (13 papers), Wnt/β-catenin signaling in development and cancer (8 papers), Pluripotent Stem Cells Research (7 papers), Congenital heart defects research (5 papers), Cancer-related gene regulation (5 papers), CRISPR and Genetic Engineering (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Aging (28 citations), Molecular Biology (548 citations), Cell Biology (67 citations), Genetics (101 citations) and Developmental Neuroscience (10 citations). Sang‐Wook Cha has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Emmanuel Tadjuidje, Janet Heasman, Christopher Wylie, Shelby A. Blythe, Peter S. Klein, Qinghua Tao, Aaron M. Zorn, Yetki Aslan, James M. Wells and Hyun‐Shik Lee. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Development, Developmental Cell and Developmental Dynamics.
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.