Jongdae Shin
Impact in
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Obstetrics and Gynecology top 10%
Papers in
-
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
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- Hippo pathway signaling and YAP/TAZ 4
- Co-authors
- Hwan‐Woo Park (13 shared papers)Soochul Park (5 shared papers)Ingolf Bach (6 shared papers)Jeanne B. Lawrence (5 shared papers)Meg Byron (5 shared papers)Baowei Jiao (4 shared papers)Stephen N. Jones (3 shared papers)Sung Ki Lee (4 shared papers)
- Journals
- Nature (2 papers)Molecular and Cellular Biology (2 papers)Journal of Reproductive Immunology (1 paper)Molecules and Cells (1 paper)BMB Reports (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jongdae Shin
26 papers receiving 757 citations
Peers
Comparison fields: 5 of 81
- Genetics 232
- Obstetrics and Gynecology 57
- Molecular Biology 493
- Geriatrics and Gerontology 25
- Cancer Research 91
Countries citing papers authored by Jongdae Shin
This map shows the geographic impact of Jongdae Shin'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 Jongdae Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongdae Shin more than expected).
Fields of papers citing papers by Jongdae Shin
This network shows the impact of papers produced by Jongdae Shin. 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 Jongdae Shin. The network helps show where Jongdae Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jongdae Shin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 135 | |
| 2 | 2020 | 82 | |
| 3 | 2022 | 63 | |
| 4 | 2014 | 48 | |
| 5 | 2016 | 39 | |
| 6 | 2005 | 39 | |
| 7 | 2019 | 31 | |
| 8 | 2017 | 29 | |
| 9 | 2006 | 27 | |
| 10 | 2021 | 25 | |
| 11 | 2012 | 24 | |
| 12 | 2020 | 24 | |
| 13 | 2007 | 23 | |
| 14 | 2010 | 22 | |
| 15 | 2020 | 22 | |
| 16 | 2013 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2017 | 18 | |
| 20 | 2017 | 17 |
About Jongdae Shin
Jongdae Shin is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Cellular and Molecular Neuroscience and Genetics, having authored 27 papers that have together received 758 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Pancreatic function and diabetes (3 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Cannabis and Cannabinoid Research (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Genetics (232 citations), Obstetrics and Gynecology (57 citations), Molecular Biology (493 citations), Geriatrics and Gerontology (25 citations) and Cancer Research (91 citations). Jongdae Shin has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hwan‐Woo Park, Soochul Park, Ingolf Bach, Jeanne B. Lawrence, Meg Byron, Baowei Jiao, Stephen N. Jones, Sung Ki Lee, Michael Bossenz and Xiaochun Zhu. Their work appears in journals such as Nature, Molecular and Cellular Biology, Journal of Reproductive Immunology, Molecules and Cells and BMB Reports.
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.