Youngmi Ji
Impact in
- Rheumatology top 10%
- Heterotopic Ossification and Related Conditions
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- TGF-β signaling in diseases 2
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- Heterotopic Ossification and Related Conditions 6
- Co-authors
- Vyomesh Patel (5 shared papers)J. Silvio Gutkind (3 shared papers)Leon J. Nesti (8 shared papers)Wesley M. Jackson (7 shared papers)James F. Rusling (1 shared paper)Richard D. Leapman (1 shared paper)Sachin Patel (1 shared paper)Ashwin Bhirde (1 shared paper)
- Journals
- PLoS ONE (2 papers)Molecular Cancer Research (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Youngmi Ji
23 papers receiving 640 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 100
- Cancer Research 71
- Physiology 99
- Genetics 38
- Molecular Biology 242
Countries citing papers authored by Youngmi Ji
This map shows the geographic impact of Youngmi Ji'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 Youngmi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngmi Ji more than expected).
Fields of papers citing papers by Youngmi Ji
This network shows the impact of papers produced by Youngmi Ji. 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 Youngmi Ji. The network helps show where Youngmi Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngmi Ji, 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 | 2010 | 132 | |
| 2 | 2015 | 63 | |
| 3 | 2010 | 60 | |
| 4 | 2022 | 58 | |
| 5 | 2011 | 48 | |
| 6 | 2020 | 45 | |
| 7 | 2010 | 38 | |
| 8 | 2021 | 27 | |
| 9 | 2012 | 23 | |
| 10 | 2011 | 19 | |
| 11 | 2010 | 19 | |
| 12 | 2012 | 16 | |
| 13 | 2007 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2022 | 10 | |
| 18 | 2003 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2011 | 8 |
About Youngmi Ji
Youngmi Ji is a scholar working on Molecular Biology, Rheumatology, Oncology, Physiology and Surgery, having authored 24 papers that have together received 653 indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (6 papers), Salivary Gland Disorders and Functions (5 papers), Mesenchymal stem cell research (3 papers), Galectins and Cancer Biology (2 papers), Lymphatic System and Diseases (2 papers), Bone fractures and treatments (2 papers), Nerve injury and regeneration (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Rheumatology (100 citations), Cancer Research (71 citations), Physiology (99 citations), Genetics (38 citations) and Molecular Biology (242 citations). Youngmi Ji has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Vyomesh Patel, J. Silvio Gutkind, Leon J. Nesti, Wesley M. Jackson, James F. Rusling, Richard D. Leapman, Sachin Patel, Ashwin Bhirde, Alfredo A. Molinolo and Alioscka A. Sousa. Their work appears in journals such as PLoS ONE, Molecular Cancer Research, Scientific Reports, Nature Communications and Clinical Cancer Research.
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.