Weike Si
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Molecular Biology top 10%
- Bone Metabolism and Diseases
- Wnt/β-catenin signaling in development and cancer
- Connective Tissue Growth Factor Research
- TGF-β signaling in diseases
Papers in
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- Chronic Myeloid Leukemia Treatments 2
-
- Osteoarthritis Treatment and Mechanisms 3
- Co-authors
- Hue H. Luu (5 shared papers)Wei Jiang (5 shared papers)Jong Kyung Park (5 shared papers)Tong-Chuan He (5 shared papers)Quan Kang (5 shared papers)Rex C. Haydon (5 shared papers)Qing Luo (4 shared papers)ANTHONY G. MONTAG (4 shared papers)
- Journals
- PLoS ONE (4 papers)Journal of Biological Chemistry (2 papers)International Journal of Molecular Medicine (2 papers)Leukemia Research (1 paper)Current Cancer Drug Targets (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Weike Si
15 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 76
- Genetics 284
- Molecular Biology 719
- Rheumatology 126
- Pulmonary and Respiratory Medicine 173
- Cancer Research 68
Countries citing papers authored by Weike Si
This map shows the geographic impact of Weike Si'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 Weike Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weike Si more than expected).
Fields of papers citing papers by Weike Si
This network shows the impact of papers produced by Weike Si. 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 Weike Si. The network helps show where Weike Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Weike Si, 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 | 2004 | 286 | |
| 2 | 2006 | 252 | |
| 3 | 2004 | 204 | |
| 4 | 2004 | 203 | |
| 5 | 2005 | 199 | |
| 6 | 2014 | 93 | |
| 7 | 2014 | 91 | |
| 8 | 2015 | 74 | |
| 9 | 2012 | 46 | |
| 10 | 2017 | 26 | |
| 11 | 2015 | 21 | |
| 12 | 2014 | 19 | |
| 13 | 2012 | 9 | |
| 14 | 2013 | 9 | |
| 15 | [Co-expression of BMP2 and Sox9 promotes chondrogenic differentiation of mesenchymal stem cells in vitro]. | 2014 | 2 |
| 16 | Correlation between myeloid leukemia development and Wnt5a expression | 2007 | 0 |
| 17 | [Differentiation phenotypes of k562 cells induced by exogenous wnt5a]. | 2007 | 0 |
About Weike Si
Weike Si is a scholar working on Hematology, Rheumatology, Molecular Biology, Genetics and Hepatology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Mesenchymal stem cell research (2 papers), TGF-β signaling in diseases (1 paper), Liver physiology and pathology (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (284 citations), Molecular Biology (719 citations), Rheumatology (126 citations), Pulmonary and Respiratory Medicine (173 citations) and Cancer Research (68 citations). Weike Si has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hue H. Luu, Wei Jiang, Jong Kyung Park, Tong-Chuan He, Quan Kang, Rex C. Haydon, Qing Luo, ANTHONY G. MONTAG, Ying Peng and Jeffrey Luo. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, International Journal of Molecular Medicine, Leukemia Research and Current Cancer Drug Targets.
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.