Weike Si
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Molecular Biology top 10%
- Connective Tissue Growth Factor Research
- Wnt/β-catenin signaling in development and cancer
- TGF-β signaling in diseases
- Cancer-related gene regulation
- Bone Metabolism and Diseases
Papers in
-
- Connective Tissue Growth Factor Research 5
- Cancer-related gene regulation 5
- Wnt/β-catenin signaling in development and cancer 4
- Kruppel-like factors research 2
- TGF-β signaling in diseases 2
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- Osteoarthritis Treatment and Mechanisms 3
- Co-authors
- Jong Kyung Park (5 shared papers)Tong‐Chuan He (5 shared papers)Wei Jiang (5 shared papers)Rex C. Haydon (5 shared papers)Hue H. Luu (5 shared papers)Quan Kang (5 shared papers)Qing Luo (4 shared papers)Anthony Montag (4 shared papers)
- Journals
- PLoS ONE (3 papers)International Journal of Molecular Medicine (2 papers)Journal of Biological Chemistry (2 papers)Current Cancer Drug Targets (1 paper)Clinical & Experimental Metastasis (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Weike Si
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Genetics 157
- Molecular Biology 844
- Cancer Research 174
- Rheumatology 152
- Urology 61
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 | 213 | |
| 2 | 2006 | 198 | |
| 3 | 2004 | 184 | |
| 4 | 2005 | 180 | |
| 5 | 2004 | 152 | |
| 6 | 2014 | 89 | |
| 7 | 2015 | 70 | |
| 8 | 2012 | 44 | |
| 9 | 2017 | 26 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 18 | |
| 12 | 2012 | 9 | |
| 13 | 2013 | 9 | |
| 14 | [Co-expression of BMP2 and Sox9 promotes chondrogenic differentiation of mesenchymal stem cells in vitro]. | 2014 | 2 |
| 15 | [Differentiation phenotypes of k562 cells induced by exogenous wnt5a]. | 2007 | 1 |
| 16 | Correlation between myeloid leukemia development and Wnt5a expression | 2007 | 1 |
About Weike Si
Weike Si is a scholar working on Molecular Biology, Rheumatology, Surgery, Genetics and Oncology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (5 papers), Cancer-related gene regulation (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Kruppel-like factors research (2 papers), TGF-β signaling in diseases (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Genetics (157 citations), Molecular Biology (844 citations), Cancer Research (174 citations), Rheumatology (152 citations) and Urology (61 citations). Weike Si has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jong Kyung Park, Tong‐Chuan He, Wei Jiang, Rex C. Haydon, Hue H. Luu, Quan Kang, Qing Luo, Anthony Montag, Ying Peng and Hong Yin. Their work appears in journals such as PLoS ONE, International Journal of Molecular Medicine, Journal of Biological Chemistry, Current Cancer Drug Targets and Clinical & Experimental Metastasis.
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.