Kai Jiang

2.1k total citations
37 papers, 1.1k citations indexed

About

Kai Jiang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kai Jiang has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Kai Jiang's work include Hedgehog Signaling Pathway Studies (8 papers), Epigenetics and DNA Methylation (6 papers) and Estrogen and related hormone effects (4 papers). Kai Jiang is often cited by papers focused on Hedgehog Signaling Pathway Studies (8 papers), Epigenetics and DNA Methylation (6 papers) and Estrogen and related hormone effects (4 papers). Kai Jiang collaborates with scholars based in China, United States and Sweden. Kai Jiang's co-authors include Jianhang Jia, Guanmin Meng, Zhiwei Ji, Yajuan Liu, Qinong Ye, Jing Lin, Zhaoyang Wang, Xin Jin, Wei Wang and Junkai Fan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kai Jiang

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Jiang China 19 716 326 146 137 112 37 1.1k
Qingfeng Yan China 19 1.1k 1.6× 308 0.9× 120 0.8× 59 0.4× 97 0.9× 64 1.4k
Joana M. Xavier Portugal 16 537 0.8× 191 0.6× 112 0.8× 59 0.4× 115 1.0× 27 980
Yuzhen Gao China 19 769 1.1× 441 1.4× 89 0.6× 213 1.6× 87 0.8× 93 1.2k
Lin Cao China 19 732 1.0× 342 1.0× 212 1.5× 58 0.4× 39 0.3× 49 1.1k
Vikash Reebye United Kingdom 16 549 0.8× 184 0.6× 69 0.5× 48 0.4× 64 0.6× 36 805
Hyang Sook Yoo United States 14 1000 1.4× 275 0.8× 85 0.6× 108 0.8× 50 0.4× 22 1.3k
Audrey Boutron France 21 1.2k 1.6× 256 0.8× 55 0.4× 77 0.6× 77 0.7× 47 1.6k
Jenny D.Y. Chow Australia 15 504 0.7× 250 0.8× 63 0.4× 153 1.1× 179 1.6× 17 930

Countries citing papers authored by Kai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Jiang

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

All Works

20 of 20 papers shown
1.
Zhang, Yong‐Wei, Jianhua Yang, Xue Liu, et al.. (2025). Tactile Sensors Based on Qualitative/Quantitative Analysis for Efficient Shape Reconstruction and Softness Evaluation. Advanced Functional Materials. 35(49).
2.
Xie, Yi, Kai Jiang, Yuqian Zhang, et al.. (2024). Enhanced Two-Step LAMP-CRISPR Assay with an Engineered Zst Polymerase for Contamination-Free and Ultrasensitive DNA Detection. Analytical Chemistry. 1 indexed citations
3.
Yang, Chen, Zhuoan Cheng, Zhicheng Liu, et al.. (2022). Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer. Genome Medicine. 14(1). 142–142. 19 indexed citations
4.
Luo, Min, Qinghua Zeng, Kai Jiang, et al.. (2021). Estrogen deficiency exacerbates learning and memory deficits associated with glucose metabolism disorder in APP/PS1 double transgenic female mice. Genes & Diseases. 9(5). 1315–1331. 22 indexed citations
5.
6.
Liu, Yajuan, et al.. (2019). Hedgehog signaling promotes lipolysis in adipose tissue through directly regulating Bmm/ATGL lipase. Developmental Biology. 457(1). 128–139. 21 indexed citations
7.
Bao, Huijing, et al.. (2018). TGF-β2 induces proliferation and inhibits apoptosis of human Tenon capsule fibroblast by miR-26 and its targeting of CTGF. Biomedicine & Pharmacotherapy. 104. 558–565. 17 indexed citations
8.
Liu, Yajuan, et al.. (2017). SUMO regulates the activity of Smoothened and Costal-2 in Drosophila Hedgehog signaling. Scientific Reports. 7(1). 42749–42749. 18 indexed citations
9.
Jiang, Kai, Yajuan Liu, Junkai Fan, et al.. (2016). PI(4)P Promotes Phosphorylation and Conformational Change of Smoothened through Interaction with Its C-terminal Tail. PLoS Biology. 14(2). e1002375–e1002375. 67 indexed citations
10.
Jiang, Kai & Jianhang Jia. (2015). Smoothened regulation in response to Hedgehog stimulation. Frontiers in Biology. 10(6). 475–486. 10 indexed citations
11.
He, Haifei, Wei Tian, Hailong Chen, & Kai Jiang. (2015). MiR-944 functions as a novel oncogene and regulates the chemoresistance in breast cancer. Tumor Biology. 37(2). 1599–1607. 57 indexed citations
12.
Meng, Guanmin, Wei Wang, Kequn Chai, et al.. (2015). Combination treatment with triptolide and hydroxycamptothecin synergistically enhances apoptosis in A549 lung adenocarcinoma cells through PP2A-regulated ERK, p38 MAPKs and Akt signaling pathways. International Journal of Oncology. 46(3). 1007–1017. 56 indexed citations
13.
Fu, Jie, Long Cheng, Yu Wang, et al.. (2014). The RNA-binding protein RBPMS1 represses AP-1 signaling and regulates breast cancer cell proliferation and migration. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(1). 1–13. 32 indexed citations
14.
Xu, Xiaojie, Zhongyi Fan, Lei Kang, et al.. (2013). Hepatitis B virus X protein represses miRNA-148a to enhance tumorigenesis. Journal of Clinical Investigation. 123(2). 630–45. 225 indexed citations
15.
Schwend, Tyler, Zhigang Jin, Kai Jiang, et al.. (2013). Stabilization of Speckle-type POZ Protein (Spop) by Daz Interacting Protein 1 (Dzip1) Is Essential for Gli Turnover and the Proper Output of Hedgehog Signaling. Journal of Biological Chemistry. 288(45). 32809–32820. 14 indexed citations
16.
Jiang, Kai, Zhihong Yang, Long Cheng, et al.. (2013). Mediator of ERBB2-driven Cell Motility (MEMO) Promotes Extranuclear Estrogen Receptor Signaling Involving the Growth Factor Receptors IGF1R and ERBB2*. Journal of Biological Chemistry. 288(34). 24590–24599. 24 indexed citations
17.
Cheng, Long, Jieping Li, Jing Lin, et al.. (2012). PES1 promotes breast cancer by differentially regulating ERα and ERβ. Journal of Clinical Investigation. 122(8). 2857–2870. 64 indexed citations
18.
Cheng, Long, Sha Hou, Xiaojie Xu, et al.. (2011). Site-directed Mutagenesis by Novel Inverse PCR Strategy*. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 38(4). 379–382. 1 indexed citations
19.
Jiang, Kai. (2007). Improvement in the Anti-staling Capability of Beer by Genetically Modifying Industrial Brewing Yeast with High Glutathione Content. Chinese journal of biotechnology/Shengwu gongcheng xuebao. 23(6). 1071–1076. 4 indexed citations
20.
Jiang, Kai, Giannis Spyrou, & Åke Rökaeus. (1998). Characterization of Phorbolester-Inducible Human Neuronal Factors Involved inTrans-Activation of the Galanin Gene. Biochemical and Biophysical Research Communications. 246(1). 192–198. 11 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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