Xin‐Zi Chi
Impact in
- Molecular Biology top 10%
- Bone Metabolism and Diseases
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Cancer Research top 10%
Papers in
-
- TGF-β signaling in diseases 4
- Ubiquitin and proteasome pathways 3
- DNA Repair Mechanisms 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Bone Metabolism and Diseases 2
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Suk‐Chul Bae (14 shared papers)Hyun‐Mo Ryoo (2 shared papers)John M. Wozney (2 shared papers)Qinglin Li (2 shared papers)Kyeong‐Sook Lee (5 shared papers)Eung‐Gook Kim (4 shared papers)Chisato Ueta (1 shared paper)Hyun‐Jung Kim (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Journal of Cellular Biochemistry (2 papers)Cells (2 papers)Journal of Biological Chemistry (2 papers)Molecules and Cells (1 paper)
- Partner nations
- South KoreaSingaporeUnited States
In The Last Decade
Xin‐Zi Chi
14 papers receiving 1.5k citations
Xin‐Zi Chi's Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.2k
- Cancer Research 255
- Oncology 401
- Rheumatology 175
- Hematology 121
Countries citing papers authored by Xin‐Zi Chi
This map shows the geographic impact of Xin‐Zi Chi'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 Xin‐Zi Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin‐Zi Chi more than expected).
Fields of papers citing papers by Xin‐Zi Chi
This network shows the impact of papers produced by Xin‐Zi Chi. 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 Xin‐Zi Chi. The network helps show where Xin‐Zi Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin‐Zi Chi, 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 | 760 |
| 2 | 2005 | 174 | |
| 3 | 2005 | 149 | |
| 4 | 2006 | 136 | |
| 5 | 2013 | 102 | |
| 6 | 2009 | 47 | |
| 7 | 2010 | 44 | |
| 8 | 2019 | 41 | |
| 9 | 2009 | 40 | |
| 10 | 2020 | 5 | |
| 11 | 2008 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 |
About Xin‐Zi Chi
Xin‐Zi Chi is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), TGF-β signaling in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (255 citations), Oncology (401 citations), Rheumatology (175 citations) and Hematology (121 citations). Xin‐Zi Chi has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Suk‐Chul Bae, Hyun‐Mo Ryoo, John M. Wozney, Qinglin Li, Kyeong‐Sook Lee, Eung‐Gook Kim, Chisato Ueta, Hyun‐Jung Kim, Toshihisa Komori and Yoshiaki Ito. Their work appears in journals such as Molecular and Cellular Biology, Journal of Cellular Biochemistry, Cells, Journal of Biological Chemistry and Molecules and Cells.
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.