Won‐Joon Yoon
Impact in
- Rheumatology top 5%
- Bone and Dental Protein Studies
-
- Bone Metabolism and Diseases
- TGF-β signaling in diseases
- Signaling Pathways in Disease
- dental development and anomalies
- Cancer-related gene regulation
Papers in
-
- Signaling Pathways in Disease 10
- Cancer-related gene regulation 6
- Bone Metabolism and Diseases 6
- TGF-β signaling in diseases 3
- Oncology 11
- Peptidase Inhibition and Analysis 8
- Co-authors
- Hyun‐Mo Ryoo (25 shared papers)Jeong‐Hwa Baek (19 shared papers)Kyung Mi Woo (19 shared papers)Young‐Dan Cho (14 shared papers)Je‐Yoel Cho (5 shared papers)Rabia Islam (11 shared papers)Gwan-Shik Kim (2 shared papers)Ji Hae Jun (1 shared paper)
- Journals
- Journal of Cellular Physiology (9 papers)Journal of Biological Chemistry (7 papers)Biomaterials (2 papers)Data in Brief (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- South KoreaArmeniaUnited States
In The Last Decade
Won‐Joon Yoon
27 papers receiving 895 citations
Peers
Comparison fields: 5 of 77
- Rheumatology 148
- Molecular Biology 662
- Oncology 218
- Cancer Research 109
- Oral Surgery 42
Countries citing papers authored by Won‐Joon Yoon
This map shows the geographic impact of Won‐Joon 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 Won‐Joon Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won‐Joon Yoon more than expected).
Fields of papers citing papers by Won‐Joon Yoon
This network shows the impact of papers produced by Won‐Joon 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 Won‐Joon Yoon. The network helps show where Won‐Joon Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Won‐Joon 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 181 | |
| 2 | 2010 | 147 | |
| 3 | 2006 | 85 | |
| 4 | 2011 | 46 | |
| 5 | 2010 | 44 | |
| 6 | 2014 | 37 | |
| 7 | 2014 | 34 | |
| 8 | 2009 | 34 | |
| 9 | 2011 | 32 | |
| 10 | 2013 | 30 | |
| 11 | 2008 | 26 | |
| 12 | 2016 | 24 | |
| 13 | 2016 | 24 | |
| 14 | 2011 | 21 | |
| 15 | 2017 | 21 | |
| 16 | 2015 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2016 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2016 | 12 |
About Won‐Joon Yoon
Won‐Joon Yoon is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Biomaterials, having authored 27 papers that have together received 913 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (10 papers), Peptidase Inhibition and Analysis (8 papers), Cancer-related gene regulation (6 papers), Bone Metabolism and Diseases (6 papers), Protease and Inhibitor Mechanisms (4 papers), Silk-based biomaterials and applications (3 papers), Craniofacial Disorders and Treatments (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Rheumatology (148 citations), Molecular Biology (662 citations), Oncology (218 citations), Cancer Research (109 citations) and Oral Surgery (42 citations). Won‐Joon Yoon has collaborated with scholars based in South Korea, Armenia and United States. Frequent co-authors include Hyun‐Mo Ryoo, Jeong‐Hwa Baek, Kyung Mi Woo, Young‐Dan Cho, Je‐Yoel Cho, Rabia Islam, Gwan-Shik Kim, Ji Hae Jun, Sang‐Beom Seo and Suk‐Chul Bae. Their work appears in journals such as Journal of Cellular Physiology, Journal of Biological Chemistry, Biomaterials, Data in Brief and Journal of Cellular Biochemistry.
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.