Ke Ning

5.9k total citations
113 papers, 4.3k citations indexed

About

Ke Ning is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Ke Ning has authored 113 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 16 papers in Genetics and 16 papers in Biomedical Engineering. Recurrent topics in Ke Ning's work include Neurogenetic and Muscular Disorders Research (12 papers), 3D Printing in Biomedical Research (11 papers) and RNA modifications and cancer (10 papers). Ke Ning is often cited by papers focused on Neurogenetic and Muscular Disorders Research (12 papers), 3D Printing in Biomedical Research (11 papers) and RNA modifications and cancer (10 papers). Ke Ning collaborates with scholars based in China, United Kingdom and United States. Ke Ning's co-authors include John C. Reed, Yama Abassi, Daniel F. Voytas, Xiao Yun Xu, Adam Godzik, Xiaobo Wang, Pamela J. Shaw, Mimoun Azzouz, Chiara F. Valori and Matthew Wyles and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Ke Ning

109 papers receiving 4.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ke Ning 2.7k 747 683 417 412 113 4.3k
Paolo Santambrogio 2.4k 0.9× 488 0.7× 1.0k 1.5× 205 0.5× 299 0.7× 95 5.6k
Riki Kawaguchi 3.1k 1.2× 2.0k 2.7× 322 0.5× 202 0.5× 604 1.5× 104 6.6k
Alessandro Prigione 2.9k 1.1× 269 0.4× 345 0.5× 241 0.6× 349 0.8× 80 4.2k
Miguel Lafarga 3.6k 1.4× 962 1.3× 740 1.1× 231 0.6× 133 0.3× 174 5.8k
Matthew D. Rand 4.9k 1.8× 710 1.0× 476 0.7× 146 0.4× 181 0.4× 63 7.6k
Jeffrey K. Harrison 2.4k 0.9× 921 1.2× 324 0.5× 344 0.8× 620 1.5× 118 7.2k
Takeshi Yasuda 2.0k 0.8× 837 1.1× 337 0.5× 149 0.4× 812 2.0× 164 4.2k
Miguel Weil 3.1k 1.2× 530 0.7× 155 0.2× 370 0.9× 265 0.6× 54 4.8k
William J. Craigen 5.1k 1.9× 535 0.7× 571 0.8× 519 1.2× 117 0.3× 104 6.8k
Lin Gao 3.9k 1.5× 558 0.7× 437 0.6× 269 0.6× 205 0.5× 141 7.2k

Countries citing papers authored by Ke Ning

Since Specialization
Citations

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

Fields of papers citing papers by Ke Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Ning. A scholar is included among the top collaborators of Ke Ning 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 Ke Ning. Ke Ning 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.
Ning, Ke, Can Fang, Yuanyuan Xie, et al.. (2025). A mirror-assisted imaging device enables side-view observation of microscale changes at interface without modifying the microscope. Measurement. 245. 116662–116662.
2.
Ning, Ke, et al.. (2025). 3D cell spheroid inoculated with bacteria: An in vitro model for assessing antimicrobial efficacy. Journal of Biotechnology. 407. 97–104. 1 indexed citations
3.
Cai, Han, et al.. (2024). Lipid-based nanoparticles for drug delivery in Parkinson’s disease. Translational Neuroscience. 15(1). 20220359–20220359. 5 indexed citations
4.
Ning, Ke, et al.. (2024). High throughput generating stable spheroids with tip‐refill wafer. Biotechnology Journal. 19(2). e2300427–e2300427. 1 indexed citations
5.
Feng, Li, Ke Ning, Yi‐Rong Chen, et al.. (2024). The impact of 3D tumor spheroid maturity on cell migration and invasion dynamics. Biochemical Engineering Journal. 213. 109567–109567. 6 indexed citations
6.
7.
Li, Xiaoyi, Shiming Wu, Zhihao Feng, et al.. (2024). Label-Free and Real-Time Optical Detection of Affinity Binding of the Antibody on Adherent Live Cells. Analytical Chemistry. 96(3). 1112–1120. 3 indexed citations
8.
Zhong, Wei, Wei Tian, Hongbo Qu, et al.. (2023). SMURF1 inhibits the Th17 and Th17.1 polarization and improves the Treg/Th17 imbalance in systemic lupus erythematosus through the ubiquitination of RORγt. Molecular Immunology. 157. 186–194. 1 indexed citations
9.
Zhang, Lingjie, et al.. (2023). Biochar with nanoparticle incorporation and pore engineering enables enhanced heavy metals removal. Journal of environmental chemical engineering. 11(5). 111056–111056. 12 indexed citations
10.
Chai, Huihui, et al.. (2023). An easy-to-open multi-chamber device to study the molecular changes behind the plant root microscale phenotypic variations. Sensors and Actuators B Chemical. 392. 134107–134107. 1 indexed citations
11.
Wu, Shiming, Yuanyuan Xie, Feng Chen, et al.. (2023). Using pipette tips to readily generate spheroids comprising single or multiple cell types. Journal of Zhejiang University. Science A. 24(10). 875–885. 3 indexed citations
12.
Ning, Ke, et al.. (2023). Recapitulating the Drifting and Fusion of Two-Generation Spheroids on Concave Agarose Microwells. International Journal of Molecular Sciences. 24(15). 11967–11967. 9 indexed citations
13.
Ning, Ke & Rong Gao. (2023). Icariin protects cerebral neural cells from ischemia‑reperfusion injury in an in vitro model by lowering ROS production and intracellular calcium concentration. Experimental and Therapeutic Medicine. 25(4). 151–151. 2 indexed citations
14.
15.
Manipur, Ichcha, Ilaria Granata, Peter W. Andrews, et al.. (2021). Defining the signalling determinants of a posterior ventral spinal cord identity in human neuromesodermal progenitor derivatives. Development. 148(6). 15 indexed citations
16.
Castelli, Lydia M., Luisa Cutillo, Cleide Dos Santos Souza, et al.. (2021). SRSF1-dependent inhibition of C9ORF72-repeat RNA nuclear export: genome-wide mechanisms for neuroprotection in amyotrophic lateral sclerosis. Molecular Neurodegeneration. 16(1). 53–53. 16 indexed citations
17.
Zhou, Xiaolong, Ke Ning, Bin Ling, et al.. (2019). Multiple Injections of Autologous Adipose-Derived Stem Cells Accelerate the Burn Wound Healing Process and Promote Blood Vessel Regeneration in a Rat Model. Stem Cells and Development. 28(21). 1463–1472. 50 indexed citations
18.
Gao, Shane, Peng Zhao, Chao Lin, et al.. (2013). Differentiation of Human Adipose-Derived Stem Cells into Neuron-Like Cells Which Are Compatible with Photocurable Three-Dimensional Scaffolds. Tissue Engineering Part A. 20(7-8). 1271–1284. 69 indexed citations
19.
Ning, Ke, Roshni Sundaram, Guohong Liu, et al.. (2007). Orphan G protein–coupled receptor GPR56 plays a role in cell transformation and tumorigenesis involving the cell adhesion pathway. Molecular Cancer Therapeutics. 6(6). 1840–1850. 60 indexed citations
20.
Yu, Dehua, Jon E. Chatterton, Joshua Bliesath, et al.. (2005). A 96-Well Surrogate Survival Assay Coupled with a Special Short Interfering RNA Vector for Assessing Cancer Gene Targets with Enhanced Signal/Noise Ratio and Its Utility in HTS for Cancer Therapeutic Targets. Assay and Drug Development Technologies. 3(4). 401–411. 12 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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