Kuixi Zhu

1.9k total citations
7 papers, 110 citations indexed

About

Kuixi Zhu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology. According to data from OpenAlex, Kuixi Zhu has authored 7 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Physiology. Recurrent topics in Kuixi Zhu's work include Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (2 papers) and Computational Drug Discovery Methods (2 papers). Kuixi Zhu is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (2 papers) and Computational Drug Discovery Methods (2 papers). Kuixi Zhu collaborates with scholars based in United States, United Kingdom and Malawi. Kuixi Zhu's co-authors include Rui Chang, John Denis Fryer, Bin Zhang, Jonathon Sens, Tanner Jensen, Mark Ebbert, Won‐Min Song, Melissa Alamprese, Ariella Cohain and Jun Zhu and has published in prestigious journals such as Scientific Reports, PLoS Computational Biology and BioMed Research International.

In The Last Decade

Kuixi Zhu

7 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuixi Zhu United States 6 52 45 30 24 12 7 110
Lilu Guo United States 5 72 1.4× 40 0.9× 58 1.9× 29 1.2× 9 0.8× 7 150
Robert C. J. Muirhead United Kingdom 3 52 1.0× 84 1.9× 78 2.6× 28 1.2× 14 1.2× 6 179
Madison Parks United States 3 53 1.0× 90 2.0× 36 1.2× 43 1.8× 12 1.0× 4 147
Pei Ying Ng Malaysia 5 43 0.8× 43 1.0× 46 1.5× 74 3.1× 6 0.5× 10 170
Brendan Rooney United States 4 48 0.9× 46 1.0× 22 0.7× 14 0.6× 17 1.4× 6 102
Joseph Bradley United States 6 86 1.7× 88 2.0× 59 2.0× 35 1.5× 6 0.5× 10 182
Lars Piepkorn Germany 4 83 1.6× 46 1.0× 17 0.6× 18 0.8× 36 3.0× 6 133
Mehran Taherian United States 5 55 1.1× 94 2.1× 27 0.9× 68 2.8× 33 2.8× 7 190
Sun Y. Maybury‐Lewis United States 5 77 1.5× 12 0.3× 34 1.1× 11 0.5× 17 1.4× 5 126
Annika Zink Germany 7 96 1.8× 17 0.4× 17 0.6× 10 0.4× 11 0.9× 13 131

Countries citing papers authored by Kuixi Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kuixi Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuixi Zhu

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

All Works

7 of 7 papers shown
1.
Zhu, Kuixi, Marc Henrion, Melissa Alamprese, et al.. (2023). Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease. Communications Biology. 6(1). 503–503. 7 indexed citations
2.
Jensen, Tanner, Jonathon Sens, Kuixi Zhu, et al.. (2022). Culture shock: microglial heterogeneity, activation, and disrupted single-cell microglial networks in vitro. Molecular Neurodegeneration. 17(1). 26–26. 49 indexed citations
3.
Chang, Rui, Eugenia Trushina, Kuixi Zhu, et al.. (2022). Predictive metabolic networks reveal sex‐ and APOE genotype‐specific metabolic signatures and drivers for precision medicine in Alzheimer's disease. Alzheimer s & Dementia. 19(2). 518–531. 20 indexed citations
4.
Trager, Megan H., Emanuelle M. Rizk, Sharon Rose, et al.. (2021). Transcriptomic analysis identifies differences in gene expression in actinic keratoses after treatment with imiquimod and between responders and non responders. Scientific Reports. 11(1). 8775–8775. 2 indexed citations
5.
Carcamo‐Orive, Ivan, Marc Henrion, Kuixi Zhu, et al.. (2020). Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness. PLoS Computational Biology. 16(12). e1008491–e1008491. 10 indexed citations
6.
Cohain, Ariella, Kuixi Zhu, Joseph R. Scarpa, et al.. (2016). EXPLORING THE REPRODUCIBILITY OF PROBABILISTIC CAUSAL MOLECULAR NETWORK MODELS. PubMed. 22. 120–131. 15 indexed citations
7.
Zhong, Lei, Kuixi Zhu, Nana Jin, et al.. (2014). A Systematic Analysis of miRNA-mRNA Paired Variations Reveals Widespread miRNA Misregulation in Breast Cancer. BioMed Research International. 2014. 1–8. 7 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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