Ung‐il Chung
- Molecular Biology top 0.5%
- Rheumatology top 0.1%
- Biomedical Engineering top 0.5%
- Molecular Medicine top 0.05%
- Biomaterials top 0.2%
- Co-authors
- Takamasa SakaiHiroshi KawaguchiShinsuke OhbaKozo NakamuraYuki AkagiMitsuhiro ShibayamaTakuro MatsunagaSatoru Kamekura
- Topics
- Hydrogels: synthesis, properties, applications (66 papers)Osteoarthritis Treatment and Mechanisms (60 papers)Bone Metabolism and Diseases (46 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Ung‐il Chung
306 papers receiving 17.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Biology 6.6k
- Rheumatology 3.7k
- Biomedical Engineering 3.6k
- Molecular Medicine 3.2k
- Biomaterials 2.3k
Countries citing papers authored by Ung‐il Chung
This map shows the geographic impact of Ung‐il Chung'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 Ung‐il Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ung‐il Chung more than expected).
Fields of papers citing papers by Ung‐il Chung
This network shows the impact of papers produced by Ung‐il Chung. 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 Ung‐il Chung. The network helps show where Ung‐il Chung may publish in the future.
Co-authorship network of co-authors of Ung‐il Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Ung‐il Chung. A scholar is included among the top collaborators of Ung‐il Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ung‐il Chung. Ung‐il Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 30 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 67 | |
| 17 | 34 | |
| 18 | 341 | |
| 19 | PPAR γ insufficiency enhances osteogenesis through osteoblast formation from bone marrow progenitorsbreakdown → | 631 |
| 20 | PPAR γ insufficiency enhances osteogenesis through osteoblast formation from bone marrow progenitorsbreakdown → | 677 |
About Ung‐il Chung
Ung‐il Chung is a scholar working on Molecular Medicine, Rheumatology and Oral Surgery, having authored 317 papers that have together received 17.5k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (66 papers), Osteoarthritis Treatment and Mechanisms (60 papers) and Bone Metabolism and Diseases (46 papers). The work is most often cited by research in Molecular Medicine (3.2k citations), Rheumatology (3.7k citations) and Biomaterials (2.3k citations). Ung‐il Chung has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Takamasa Sakai, Hiroshi Kawaguchi, Shinsuke Ohba, Kozo Nakamura, Yuki Akagi, Mitsuhiro Shibayama, Takuro Matsunaga, Satoru Kamekura, Henry M. Kronenberg and Taku Saito. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.