Yeon-Suk Yang
Impact in
- Rheumatology top 10%
- Heterotopic Ossification and Related Conditions
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- MicroRNA in disease regulation
Papers in
-
- Bone Metabolism and Diseases 5
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- Genetics 6
- Virus-based gene therapy research 2
- Co-authors
- Jae‐Hyuck Shim (18 shared papers)Jung‐Min Kim (10 shared papers)Guangping Gao (11 shared papers)Matthew B. Greenblatt (6 shared papers)Jun Xie (8 shared papers)Kwang Hwan Park (3 shared papers)Hwanhee Oh (2 shared papers)Ellen M. Gravallese (4 shared papers)
- Journals
- Molecular Therapy (3 papers)Nature Communications (3 papers)Sensors (2 papers)International Journal of Molecular Sciences (2 papers)Molecular Therapy — Nucleic Acids (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Yeon-Suk Yang
17 papers receiving 535 citations
Peers
Comparison fields: 5 of 71
- Rheumatology 81
- Cancer Research 64
- Molecular Biology 286
- Genetics 39
- Orthopedics and Sports Medicine 31
Countries citing papers authored by Yeon-Suk Yang
This map shows the geographic impact of Yeon-Suk Yang'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 Yeon-Suk Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeon-Suk Yang more than expected).
Fields of papers citing papers by Yeon-Suk Yang
This network shows the impact of papers produced by Yeon-Suk Yang. 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 Yeon-Suk Yang. The network helps show where Yeon-Suk Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeon-Suk Yang, 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 | 2019 | 130 | |
| 2 | 2019 | 102 | |
| 3 | 2022 | 41 | |
| 4 | 2020 | 41 | |
| 5 | 2022 | 40 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 24 | |
| 9 | 2023 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 0 |
About Yeon-Suk Yang
Yeon-Suk Yang is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Rheumatology, having authored 18 papers that have together received 538 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Bone health and treatments (3 papers), RNA Interference and Gene Delivery (2 papers), interferon and immune responses (2 papers), Heterotopic Ossification and Related Conditions (2 papers), RNA Research and Splicing (2 papers), Virus-based gene therapy research (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Rheumatology (81 citations), Cancer Research (64 citations), Molecular Biology (286 citations), Genetics (39 citations) and Orthopedics and Sports Medicine (31 citations). Yeon-Suk Yang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jae‐Hyuck Shim, Jung‐Min Kim, Guangping Gao, Matthew B. Greenblatt, Jun Xie, Kwang Hwan Park, Hwanhee Oh, Ellen M. Gravallese, Dan Wang and Phillip W.L. Tai. Their work appears in journals such as Molecular Therapy, Nature Communications, Sensors, International Journal of Molecular Sciences and Molecular Therapy — Nucleic Acids.
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.