Chisato Ueta
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Molecular Biology top 10%
- Bone Metabolism and Diseases
- TGF-β signaling in diseases
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 3
- Macrophage Migration Inhibitory Factor 1
- Oncology 3
- Bone health and treatments 2
- Co-authors
- Toshihisa Komori (3 shared papers)John M. Wozney (1 shared paper)Eung‐Gook Kim (1 shared paper)Hyun‐Mo Ryoo (1 shared paper)Hyun‐Jung Kim (1 shared paper)Xin‐Zi Chi (1 shared paper)Kyeong‐Sook Lee (1 shared paper)Qinglin Li (1 shared paper)
- Journals
- Infection and Immunity (3 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular and Cellular Biology (1 paper)Circulation Journal (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- JapanSouth Korea
In The Last Decade
Chisato Ueta
8 papers receiving 1.4k citations
Chisato Ueta's Hit Papers
Peers
Comparison fields: 5 of 90
- Rheumatology 286
- Molecular Biology 835
- Cancer Research 163
- Genetics 114
- Oncology 284
Countries citing papers authored by Chisato Ueta
This map shows the geographic impact of Chisato Ueta'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 Chisato Ueta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chisato Ueta more than expected).
Fields of papers citing papers by Chisato Ueta
This network shows the impact of papers produced by Chisato Ueta. 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 Chisato Ueta. The network helps show where Chisato Ueta may publish in the future.
Co-authors
The 25 scholars most cited alongside Chisato Ueta, 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 | Runx2 Is a Common Target of Transforming Growth Factor β1 and Bone Morphogenetic Protein 2, and Cooperation between Runx2 and Smad5 Induces Osteoblast-Specific Gene Expression in the Pluripotent Mesenchymal Precursor Cell Line C2C12 Hit paper breakdown → | 2000 | 763 |
| 2 | 2001 | 313 | |
| 3 | 2000 | 116 | |
| 4 | 1990 | 103 | |
| 5 | 1994 | 63 | |
| 6 | 1996 | 50 | |
| 7 | 1991 | 24 | |
| 8 | 2005 | 5 |
About Chisato Ueta
Chisato Ueta is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Pathology and Forensic Medicine, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers), Bone Metabolism and Diseases (2 papers), Bone health and treatments (2 papers), Macrophage Migration Inhibitory Factor (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Rheumatology (286 citations), Molecular Biology (835 citations), Cancer Research (163 citations), Genetics (114 citations) and Oncology (284 citations). Chisato Ueta has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Toshihisa Komori, John M. Wozney, Eung‐Gook Kim, Hyun‐Mo Ryoo, Hyun‐Jung Kim, Xin‐Zi Chi, Kyeong‐Sook Lee, Qinglin Li, Suk‐Chul Bae and I Tsuyuguchi. Their work appears in journals such as Infection and Immunity, Biochemical and Biophysical Research Communications, Molecular and Cellular Biology, Circulation Journal and The Journal of Cell Biology.
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.