Joon Won Yoon
Impact in
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Chromatin Remodeling and Cancer
- Developmental Biology and Gene Regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Hedgehog Signaling Pathway Studies 20
- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 4
- Chromatin Remodeling and Cancer 3
- Renal and related cancers 2
- Genetics 11
- Genomic variations and chromosomal abnormalities 3
- Cleft Lip and Palate Research 2
- Co-authors
- David Walterhouse (18 shared papers)Philip M. Iannaccone (14 shared papers)Daniel J. Frank (2 shared papers)Yasuhiro Kita (1 shared paper)Howard J. Jacob (1 shared paper)Rebecca R. Majewski (1 shared paper)Marcelo A. Nóbrega (1 shared paper)Jian Yang (3 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Biological Chemistry (3 papers)DNA repair (2 papers)European Journal of Medical Genetics (1 paper)Gene (1 paper)
- Partner nations
- United StatesSouth KoreaDenmark
In The Last Decade
Joon Won Yoon
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 849
- Genetics 86
- Genetics 214
- Oncology 174
- Oral Surgery 35
Countries citing papers authored by Joon Won Yoon
This map shows the geographic impact of Joon Won Yoon'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 Joon Won Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Won Yoon more than expected).
Fields of papers citing papers by Joon Won Yoon
This network shows the impact of papers produced by Joon Won Yoon. 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 Joon Won Yoon. The network helps show where Joon Won Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon Won Yoon, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 267 | |
| 2 | 2011 | 97 | |
| 3 | 2007 | 90 | |
| 4 | 1998 | 72 | |
| 5 | 2006 | 69 | |
| 6 | 2008 | 65 | |
| 7 | 1998 | 56 | |
| 8 | 2017 | 50 | |
| 9 | 2001 | 48 | |
| 10 | 2013 | 44 | |
| 11 | 2008 | 42 | |
| 12 | 1997 | 36 | |
| 13 | 2002 | 34 | |
| 14 | 2015 | 28 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 15 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2009 | 2 |
About Joon Won Yoon
Joon Won Yoon is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Surgery, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (20 papers), Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (4 papers), Chromatin Remodeling and Cancer (3 papers), Cancer-related Molecular Pathways (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Renal and related cancers (2 papers) and Cleft Lip and Palate Research (2 papers). The work is most often cited by research in Molecular Biology (849 citations), Genetics (86 citations), Genetics (214 citations), Oncology (174 citations) and Oral Surgery (35 citations). Joon Won Yoon has collaborated with scholars based in United States, South Korea and Denmark. Frequent co-authors include David Walterhouse, Philip M. Iannaccone, Daniel J. Frank, Yasuhiro Kita, Howard J. Jacob, Rebecca R. Majewski, Marcelo A. Nóbrega, Jian Yang, Liu C and Marisa Gallant. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, DNA repair, European Journal of Medical Genetics and Gene.
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.