Jungeun Yu
Impact in
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- Cell Adhesion Molecules Research
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- Bone Metabolism and Diseases
- Developmental Biology and Gene Regulation
- TGF-β signaling in diseases
Papers in
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- Developmental Biology and Gene Regulation 12
- Bone Metabolism and Diseases 12
- TGF-β signaling in diseases 6
- Genetics 11
- Connective tissue disorders research 4
- Craniofacial Disorders and Treatments 4
- Co-authors
- Ernesto Canalis (23 shared papers)Stefano Zanotti (9 shared papers)Archana Sanjay (8 shared papers)Eui‐Soon Park (8 shared papers)Jaerang Rho (8 shared papers)Seunga Choi (7 shared papers)Jacalyn H. Pierce (3 shared papers)Mohammad A. Heidaran (3 shared papers)
- Journals
- Journal of Biological Chemistry (13 papers)Bone (7 papers)PLoS ONE (3 papers)Journal of Cellular Biochemistry (2 papers)American Journal Of Pathology (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Jungeun Yu
37 papers receiving 648 citations
Peers
Comparison fields: 5 of 77
- Immunology and Allergy 34
- Molecular Biology 396
- Rheumatology 68
- Cancer Research 60
- Genetics 116
Countries citing papers authored by Jungeun Yu
This map shows the geographic impact of Jungeun 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 Jungeun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungeun Yu more than expected).
Fields of papers citing papers by Jungeun Yu
This network shows the impact of papers produced by Jungeun 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 Jungeun Yu. The network helps show where Jungeun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jungeun Yu, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2015 | 52 | |
| 3 | 2018 | 41 | |
| 4 | 2018 | 36 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2014 | 28 | |
| 8 | 2018 | 23 | |
| 9 | 2009 | 23 | |
| 10 | 1994 | 22 | |
| 11 | 2014 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 1992 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2012 | 18 | |
| 16 | 2016 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 1994 | 17 | |
| 19 | 2020 | 16 | |
| 20 | 2016 | 14 |
About Jungeun Yu
Jungeun Yu is a scholar working on Molecular Biology, Genetics, Oncology, Neurology and Rheumatology, having authored 38 papers that have together received 657 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Bone Metabolism and Diseases (12 papers), TGF-β signaling in diseases (6 papers), Connective tissue disorders research (4 papers), Craniofacial Disorders and Treatments (4 papers), Bone health and treatments (4 papers), Cerebrovascular and genetic disorders (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology and Allergy (34 citations), Molecular Biology (396 citations), Rheumatology (68 citations), Cancer Research (60 citations) and Genetics (116 citations). Jungeun Yu has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Ernesto Canalis, Stefano Zanotti, Archana Sanjay, Eui‐Soon Park, Jaerang Rho, Seunga Choi, Jacalyn H. Pierce, Mohammad A. Heidaran, Ji‐Yeon Yu and Hyeongseok Yun. Their work appears in journals such as Journal of Biological Chemistry, Bone, PLoS ONE, Journal of Cellular Biochemistry and American Journal Of Pathology.
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.