Kuixing Wang

796 total citations · 1 hit paper
9 papers, 547 citations indexed

About

Kuixing Wang is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Kuixing Wang has authored 9 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Surgery. Recurrent topics in Kuixing Wang's work include Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Bone Metabolism and Diseases (3 papers). Kuixing Wang is often cited by papers focused on Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Bone Metabolism and Diseases (3 papers). Kuixing Wang collaborates with scholars based in China, Hong Kong and Denmark. Kuixing Wang's co-authors include Gang Li, Liangliang Xu, Shuo Huang, Yuxin Sun, Tianyi Wu, Fengping Xu, Chenglong Liu, Dragomirka Jovic, Dan Wang and Hanbo Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Kuixing Wang

9 papers receiving 538 citations

Hit Papers

A Brief Overview of Global Trends in MSC-Based Cell Therapy 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kuixing Wang China 8 251 218 125 87 73 9 547
Aungkura Supokawej Thailand 17 353 1.4× 241 1.1× 174 1.4× 128 1.5× 54 0.7× 37 663
Joana R. Ferreira Portugal 8 199 0.8× 269 1.2× 197 1.6× 81 0.9× 86 1.2× 10 658
Andrea Papait Italy 15 263 1.0× 215 1.0× 171 1.4× 120 1.4× 52 0.7× 36 620
Natasha Baker United States 6 218 0.9× 176 0.8× 94 0.8× 86 1.0× 47 0.6× 7 456
Zenan Yuan China 6 284 1.1× 258 1.2× 151 1.2× 118 1.4× 59 0.8× 8 631
Claudia Lo Sicco Italy 7 339 1.4× 233 1.1× 104 0.8× 147 1.7× 54 0.7× 7 545
Sylwia Sarzyńska Poland 7 193 0.8× 238 1.1× 194 1.6× 64 0.7× 64 0.9× 14 554
Alba Redondo Spain 9 227 0.9× 227 1.0× 93 0.7× 98 1.1× 46 0.6× 16 501
Johannes Leibacher Germany 5 181 0.7× 232 1.1× 130 1.0× 39 0.4× 44 0.6× 6 464

Countries citing papers authored by Kuixing Wang

Since Specialization
Citations

This map shows the geographic impact of Kuixing Wang'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 Kuixing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuixing Wang more than expected).

Fields of papers citing papers by Kuixing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuixing Wang. 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 Kuixing Wang. The network helps show where Kuixing Wang may publish in the future.

Co-authorship network of co-authors of Kuixing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuixing Wang. A scholar is included among the top collaborators of Kuixing Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuixing Wang. Kuixing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wang, Quanlei, Shengpeng Wang, Qiuting Deng, et al.. (2022). Single-cell transcriptional profiling reveals cellular and molecular divergence in human maternal–fetal interface. Scientific Reports. 12(1). 10892–10892. 23 indexed citations
2.
Jovic, Dragomirka, Dan Wang, Kuixing Wang, et al.. (2022). A Brief Overview of Global Trends in MSC-Based Cell Therapy. Stem Cell Reviews and Reports. 18(5). 1525–1545. 164 indexed citations breakdown →
3.
Wang, Quanlei, Shengpeng Wang, Qiuting Deng, et al.. (2021). Single‐cell transcriptome profiling reveals molecular heterogeneity in human umbilical cord tissue and culture‐expanded mesenchymal stem cells. FEBS Journal. 288(18). 5311–5330. 13 indexed citations
4.
Meng, Fanbiao, Liangliang Xu, Shuo Huang, et al.. (2016). Small nuclear ribonucleoprotein polypeptide N (Sm51) promotes osteogenic differentiation of bone marrow mesenchymal stem cells by regulating Runx2. Cell and Tissue Research. 366(1). 155–162. 7 indexed citations
5.
Wang, Kuixing, Liangliang Xu, Yunfeng Rui, et al.. (2015). The Effects of Secretion Factors from Umbilical Cord Derived Mesenchymal Stem Cells on Osteogenic Differentiation of Mesenchymal Stem Cells. PLoS ONE. 10(3). e0120593–e0120593. 61 indexed citations
6.
Lin, Sien, Jianping Huang, Zheng Liang, et al.. (2014). Glucocorticoid-Induced Osteoporosis in Growing Rats. Calcified Tissue International. 95(4). 362–373. 42 indexed citations
7.
Huang, Shuo, Liangliang Xu, Yuxin Sun, et al.. (2014). An improved protocol for isolation and culture of mesenchymal stem cells from mouse bone marrow. Journal of Orthopaedic Translation. 3(1). 26–33. 166 indexed citations
8.
Xu, Liangliang, Yang Liu, Yonghui Hou, et al.. (2014). U0126 promotes osteogenesis of rat bone-marrow-derived mesenchymal stem cells by activating BMP/Smad signaling pathway. Cell and Tissue Research. 359(2). 537–545. 9 indexed citations
9.
Xu, Liangliang, Shuo Huang, Yonghui Hou, et al.. (2014). Sox11‐modified mesenchymal stem cells (MSCs) accelerate bone fracture healing: Sox11 regulates differentiation and migration of MSCs. The FASEB Journal. 29(4). 1143–1152. 62 indexed citations

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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