Kejin Zhu

893 total citations
22 papers, 729 citations indexed

About

Kejin Zhu is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Kejin Zhu has authored 22 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Cell Biology. Recurrent topics in Kejin Zhu's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Neuroblastoma Research and Treatments (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Kejin Zhu is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Neuroblastoma Research and Treatments (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Kejin Zhu collaborates with scholars based in United States, China and Canada. Kejin Zhu's co-authors include Yi Zheng, Balázs Debreceni, Jill M. Lahti, Feng Bi, Behzad Aghazadeh, José Grenet, Tony Pawson, Terrance J. Kubiseski, Michael K. Rosen and Dianne S. Hirsch and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Gastroenterology.

In The Last Decade

Kejin Zhu

21 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kejin Zhu United States 13 514 285 84 82 67 22 729
Felix Oppermann Germany 12 898 1.7× 336 1.2× 175 2.1× 69 0.8× 55 0.8× 17 1.1k
Anjali Tikoo Australia 13 694 1.4× 199 0.7× 184 2.2× 198 2.4× 66 1.0× 19 992
Barbara Fazi Italy 14 435 0.8× 235 0.8× 86 1.0× 35 0.4× 104 1.6× 16 723
Patricia Stege Germany 11 436 0.8× 253 0.9× 67 0.8× 21 0.3× 23 0.3× 14 552
Jessica B. Casaletto United States 6 311 0.6× 144 0.5× 118 1.4× 32 0.4× 45 0.7× 7 498
Ararat J. Ablooglu United States 14 424 0.8× 142 0.5× 72 0.9× 34 0.4× 31 0.5× 21 688
Guichao Zeng United States 16 796 1.5× 198 0.7× 74 0.9× 97 1.2× 87 1.3× 27 913
Jessica Charlet United States 10 543 1.1× 118 0.4× 86 1.0× 37 0.5× 91 1.4× 14 742
David Romano Ireland 15 750 1.5× 544 1.9× 217 2.6× 55 0.7× 70 1.0× 22 1.1k
M Kawata Japan 10 922 1.8× 456 1.6× 143 1.7× 23 0.3× 31 0.5× 20 1.1k

Countries citing papers authored by Kejin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kejin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Kejin Zhu. A scholar is included among the top collaborators of Kejin Zhu 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 Kejin Zhu. Kejin Zhu 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
2.
Yang, Yang, Kejin Zhu, Juan Yi, et al.. (2024). Origami Actuator with Tunable Limiting Layer for Reconfigurable Soft Robotic Grasping. 11402–11407. 1 indexed citations
3.
Cui, Jialin, Kejin Zhu, Meng Gao, et al.. (2024). Microenvironment Effect Catalysis with Phosphoric Acid-Based Covalent Organic Frameworks. ACS Catalysis. 14(19). 14780–14786. 7 indexed citations
5.
Gao, Chao, Shenghao Wang, Weiqing Shao, et al.. (2021). Rapamycin enhances the anti-tumor activity of cabozantinib in cMet inhibitor-resistant hepatocellular carcinoma. Frontiers of Medicine. 16(3). 467–482. 5 indexed citations
6.
Yang, Hui-Min, Biao Yang, Yumei Hu, et al.. (2020). [Identification of chemical constituents in Guizhi Fuling Capsules by UPLC-Q-TOF-MS/MS].. PubMed. 45(4). 861–877. 11 indexed citations
7.
Zhu, Kejin, et al.. (2020). An empirical study on the correlation between university discipline and industrial structure in the Guangdong, Hong Kong, and Macao greater bay area. Asian Education and Development Studies. 11(1). 23–41. 7 indexed citations
8.
Zheng, Weiran, Meng Li, Yong‐Xiang Wang, et al.. (2020). Guizhi Fuling Capsule Exhibits Antidysmenorrhea Activity by Inhibition of Cyclooxygenase Activity. Evidence-based Complementary and Alternative Medicine. 2020(1). 8607931–8607931. 16 indexed citations
9.
Zhang, Yu, Xiaomei Gao, Ying Zhu, et al.. (2018). The dual blockade of MET and VEGFR2 signaling demonstrates pronounced inhibition on tumor growth and metastasis of hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 37(1). 93–93. 33 indexed citations
10.
Teitz, Tal, Marcus B. Valentine, Kejin Zhu, et al.. (2013). Th-MYCN Mice with Caspase-8 Deficiency Develop Advanced Neuroblastoma with Bone Marrow Metastasis. Cancer Research. 73(13). 4086–4097. 48 indexed citations
11.
Wang, Zhenzhong, Zhonghan Yang, Viktoriya Grinchuk, et al.. (2012). Mo2038 Anti-Inflammatory and Intestinal Function-Modulating Activities of a Traditional Chinese Herbal Formula Houxiang Zhengqi. Gastroenterology. 142(5). S–726. 4 indexed citations
12.
Zhu, Kejin. (2011). Pharmacokinetics of Guizhi Fuling capsule in beagle dogs. China Journal of Chinese Materia Medica. 36(8). 1015–8. 1 indexed citations
13.
Jiang, Manrong, Kejin Zhu, José Grenet, & Jill M. Lahti. (2008). Retinoic acid induces caspase-8 transcription via phospho-CREB and increases apoptotic responses to death stimuli in neuroblastoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(6). 1055–1067. 51 indexed citations
14.
Tekautz, Tanya, Kejin Zhu, José Grenet, et al.. (2006). Evaluation of IFN-γ effects on apoptosis and gene expression in neuroblastoma—Preclinical studies. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(10). 1000–1010. 27 indexed citations
15.
Debreceni, Balázs, Yuan Gao, Fukun Guo, et al.. (2004). Mechanisms of Guanine Nucleotide Exchange and Rac-mediated Signaling Revealed by a Dominant Negative Trio Mutant. Journal of Biological Chemistry. 279(5). 3777–3786. 44 indexed citations
16.
Miura, Koichi, Kerry M. Jacques, Stacey Stauffer, et al.. (2002). ARAP1. Molecular Cell. 9(1). 109–119. 145 indexed citations
17.
Bi, Feng, Balázs Debreceni, Kejin Zhu, et al.. (2001). Autoinhibition Mechanism of Proto-Dbl. Molecular and Cellular Biology. 21(5). 1463–1474. 67 indexed citations
18.
Zhu, Kejin, Balázs Debreceni, Feng Bi, & Yi Zheng. (2001). Oligomerization of DH Domain Is Essential for Dbl-Induced Transformation. Molecular and Cellular Biology. 21(2). 425–437. 39 indexed citations
19.
Zhu, Kejin, Balázs Debreceni, Rong Li, & Yi Zheng. (2000). Identification of Rho GTPase-dependent Sites in the Dbl Homology Domain of Oncogenic Dbl That Are Required for Transformation. Journal of Biological Chemistry. 275(34). 25993–26001. 42 indexed citations
20.
Aghazadeh, Behzad, Kejin Zhu, Terrance J. Kubiseski, et al.. (1998). Structure and mutagenesis of the Dbl homology domain. Nature Structural Biology. 5(12). 1098–1107. 116 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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