Kaikai Shi

642 total citations
11 papers, 526 citations indexed

About

Kaikai Shi is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Kaikai Shi has authored 11 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Kaikai Shi's work include Bone Metabolism and Diseases (8 papers), TGF-β signaling in diseases (3 papers) and Muscle Physiology and Disorders (2 papers). Kaikai Shi is often cited by papers focused on Bone Metabolism and Diseases (8 papers), TGF-β signaling in diseases (3 papers) and Muscle Physiology and Disorders (2 papers). Kaikai Shi collaborates with scholars based in China, Denmark and Saudi Arabia. Kaikai Shi's co-authors include Li Chen, Weimin Qiu, Moustapha Kassem, Nicholas Ditzel, Jianlei Lü, Changyan Ma, Kim Holmstrøm, Lintao Wang, Huimin Hu and Bing Qi and has published in prestigious journals such as Nature Communications, PLoS ONE and FEBS Letters.

In The Last Decade

Kaikai Shi

11 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaikai Shi China 9 370 221 73 71 65 11 526
Bingkun Zhao China 14 378 1.0× 254 1.1× 41 0.6× 37 0.5× 77 1.2× 23 602
José M. A. Hendriks Netherlands 9 353 1.0× 86 0.4× 71 1.0× 68 1.0× 69 1.1× 11 516
Liangzhi Gong China 10 355 1.0× 219 1.0× 38 0.5× 34 0.5× 53 0.8× 13 461
Sarfaraz Lalani United States 8 360 1.0× 83 0.4× 67 0.9× 172 2.4× 105 1.6× 9 659
Gregory R. Sondag United States 9 236 0.6× 109 0.5× 33 0.5× 32 0.5× 80 1.2× 11 438
Julia Etich Germany 16 276 0.7× 151 0.7× 20 0.3× 37 0.5× 42 0.6× 25 557
Qinyu Ma China 13 418 1.1× 144 0.7× 70 1.0× 44 0.6× 174 2.7× 18 613
Shawn A. Hallett United States 11 283 0.8× 63 0.3× 33 0.5× 108 1.5× 85 1.3× 16 506
Natasha Baker United States 6 218 0.6× 86 0.4× 47 0.6× 176 2.5× 46 0.7× 7 456
Won‐Joon Yoon South Korea 17 678 1.8× 124 0.6× 73 1.0× 74 1.0× 220 3.4× 27 878

Countries citing papers authored by Kaikai Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kaikai Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaikai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaikai Shi. A scholar is included among the top collaborators of Kaikai Shi 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 Kaikai Shi. Kaikai Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Chen, Li, Kaikai Shi, Nicholas Ditzel, et al.. (2025). KIAA1199 (CEMIP) regulates adipogenesis and whole-body energy metabolism. Bone Research. 13(1). 43–43. 1 indexed citations
2.
Chen, Li, Kaikai Shi, Nicholas Ditzel, et al.. (2023). KIAA1199 deficiency enhances skeletal stem cell differentiation to osteoblasts and promotes bone regeneration. Nature Communications. 14(1). 2016–2016. 28 indexed citations
3.
Chen, Li, Kaikai Shi, Weimin Qiu, Lars Aagaard, & Moustapha Kassem. (2020). Generation of Inducible CRISPRi and CRISPRa Human Stromal/Stem Cell Lines for Controlled Target Gene Transcription during Lineage Differentiation. Stem Cells International. 2020. 1–11. 5 indexed citations
4.
Chen, Li, Kaikai Shi, Thomas Levin Andersen, Weimin Qiu, & Moustapha Kassem. (2019). KIAA1199 is a secreted molecule that enhances osteoblastic stem cell migration and recruitment. Cell Death and Disease. 10(2). 126–126. 34 indexed citations
5.
Chen, Li, Huimin Hu, Weimin Qiu, Kaikai Shi, & Moustapha Kassem. (2018). Actin depolymerization enhances adipogenic differentiation in human stromal stem cells. Stem Cell Research. 29. 76–83. 53 indexed citations
6.
Lü, Jianlei, Shuang Qu, Bing Yao, et al.. (2016). Osterix acetylation at K307 and K312 enhances its transcriptional activity and is required for osteoblast differentiation. Oncotarget. 7(25). 37471–37486. 33 indexed citations
7.
Xu, Yuexin, Bing Yao, Kaikai Shi, et al.. (2015). Phosphorylation of Serine422 increases the stability and transactivation activities of human Osterix. FEBS Letters. 589(7). 857–864. 10 indexed citations
8.
Chen, Li, Kaikai Shi, Nicholas Ditzel, et al.. (2015). Inhibiting actin depolymerization enhances osteoblast differentiation and bone formation in human stromal stem cells. Stem Cell Research. 15(2). 281–289. 52 indexed citations
9.
Peng, Yanyan, Kaikai Shi, Lintao Wang, et al.. (2013). Characterization of Osterix Protein Stability and Physiological Role in Osteoblast Differentiation. PLoS ONE. 8(2). e56451–e56451. 41 indexed citations
10.
Shi, Kaikai, Jianlei Lü, Yue Zhao, et al.. (2013). MicroRNA-214 suppresses osteogenic differentiation of C2C12 myoblast cells by targeting Osterix. Bone. 55(2). 487–494. 113 indexed citations
11.
Chen, Li, Kim Holmstrøm, Weimin Qiu, et al.. (2013). MicroRNA-34a Inhibits Osteoblast Differentiation and In Vivo Bone Formation of Human Stromal Stem Cells. Stem Cells. 32(4). 902–912. 156 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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