Weike Si

1.7k citations
16 papers · 1.2k · h-index 11

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • 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
    • TGF-β signaling in diseases 2
    • Kruppel-like factors research 2

Weike Si

16 papers receiving 1.2k citations

Peers

Weike Si
Comparison fields: 5 of 89
  • Genetics 144
  • Molecular Biology 782
  • Cancer Research 149
  • Rheumatology 137
  • Urology 45
Replace Xin‐Zi Chi with:
Xin‐Zi Chi South Korea
Jong Kyung Park South Korea
Chi Faucheu United States
Fumitaka Kugimiya Japan
Amitha H. Palamakumbura United States
Krishna M. Sinha United States
Won‐Joon Yoon South Korea
Ximeng Liu China
Soraya Gutiérrez United States
Kate Vandyke Australia
Weike Si relative to Xin‐Zi Chi South Korea Xin‐Zi Chi's profile →
Citations per field
00.5×1.5×
Xin‐Zi Chi · 1×
Citations per year

Countries citing papers authored by Weike Si

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Weike Si Line = papers co-authored together Weike Si links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2004214
2 2006199
3 2004185
4 2005180
5 2004152
6 201489
7 201570
8 201244
9 201726
10 201521
11 201419
12 20129
13 20139
14
[Co-expression of BMP2 and Sox9 promotes chondrogenic differentiation of mesenchymal stem cells in vitro].
20142
15
[Differentiation phenotypes of k562 cells induced by exogenous wnt5a].
20071
16
Correlation between myeloid leukemia development and Wnt5a expression
20071

About Weike Si

Weike Si is a scholar working on Molecular Biology, Surgery, Rheumatology, Hematology and Small Animals, 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), Chronic Myeloid Leukemia Treatments (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), TGF-β signaling in diseases (2 papers), Kruppel-like factors research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (144 citations), Molecular Biology (782 citations), Cancer Research (149 citations), Rheumatology (137 citations) and Urology (45 citations). Weike Si has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jong Kyung Park, Rex C. Haydon, Tong‐Chuan He, Wei Jiang, Hue H. Luu, Quan Kang, Qing Luo, Anthony Montag, Ying Peng and Jeffrey Luo. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, International Journal of Molecular Medicine, Cancer Cell International 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.

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