Keyi Zhu

632 total citations
10 papers, 524 citations indexed

About

Keyi Zhu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Keyi Zhu has authored 10 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Keyi Zhu's work include Ubiquitin and proteasome pathways (4 papers), Cell death mechanisms and regulation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Keyi Zhu is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cell death mechanisms and regulation (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Keyi Zhu collaborates with scholars based in United States, France and Italy. Keyi Zhu's co-authors include David J. McConkey, Simon A. Williams, Laura M. Lashinger, Colin P. Dinney, Marissa Shrader, Steven E. Canfield, Miles Wilkinson, John V. Heymach, Wai-Kin Chan and Sharada Mokkapati and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.

In The Last Decade

Keyi Zhu

10 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keyi Zhu United States 7 375 163 114 87 77 10 524
Sho Kubota Japan 16 369 1.0× 122 0.7× 80 0.7× 65 0.7× 97 1.3× 46 552
Ján Gurský Czechia 13 271 0.7× 137 0.8× 99 0.9× 39 0.4× 55 0.7× 22 466
Grace R. Anderson United States 11 573 1.5× 190 1.2× 210 1.8× 54 0.6× 123 1.6× 13 763
Kesen Xu China 17 271 0.7× 243 1.5× 177 1.6× 103 1.2× 33 0.4× 32 675
Valérie Palissot Luxembourg 14 398 1.1× 99 0.6× 171 1.5× 73 0.8× 61 0.8× 22 567
Sylvia Mahara Singapore 8 502 1.3× 210 1.3× 179 1.6× 80 0.9× 65 0.8× 9 658
Nicole E. McNeil United States 12 312 0.8× 223 1.4× 107 0.9× 106 1.2× 82 1.1× 23 623
Kerstin Maria Kampa-Schittenhelm Germany 12 283 0.8× 171 1.0× 55 0.5× 90 1.0× 155 2.0× 30 516
Vivien N. Jacobs United Kingdom 11 290 0.8× 194 1.2× 53 0.5× 50 0.6× 44 0.6× 18 504
Cathy E. Nolan United States 6 384 1.0× 206 1.3× 51 0.4× 68 0.8× 65 0.8× 8 585

Countries citing papers authored by Keyi Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Keyi Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyi Zhu

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

All Works

10 of 10 papers shown
1.
Tidwell, Rebecca S., Miao Zhang, Keyi Zhu, et al.. (2023). Evaluation of the Aggressive-Variant Prostate Cancer Molecular Signature in Clinical Laboratory Improvement Amendments (CLIA) Environments. Cancers. 15(24). 5843–5843. 2 indexed citations
3.
White, Matthew, et al.. (2018). HRI-mediated translational repression reduces proteotoxicity and sensitivity to bortezomib in human pancreatic cancer cells. Oncogene. 37(32). 4413–4427. 18 indexed citations
4.
Ravi, Vinod, Andrew S. Brohl, Sant P. Chawla, et al.. (2018). Detection of endoglin-expressing CTCs in patients enrolled in an adaptive enrichment phase 3 trial of TRC105 and pazopanib versus pazopanib alone in patients with advanced angiosarcoma (TAPPAS).. Journal of Clinical Oncology. 36(15_suppl). e23570–e23570. 1 indexed citations
5.
Jinesh, Goodwin G., et al.. (2016). Pim kinase isoforms: devils defending cancer cells from therapeutic and immune attacks. APOPTOSIS. 21(11). 1203–1213. 32 indexed citations
6.
Zhu, Keyi, Wai-Kin Chan, John V. Heymach, Miles Wilkinson, & David J. McConkey. (2009). Control of HIF-1α Expression by eIF2α Phosphorylation–Mediated Translational Repression. Cancer Research. 69(5). 1836–1843. 46 indexed citations
7.
McConkey, David J. & Keyi Zhu. (2008). Mechanisms of proteasome inhibitor action and resistance in cancer. Drug Resistance Updates. 11(4-5). 164–179. 248 indexed citations
8.
Canfield, Steven E., Keyi Zhu, Simon A. Williams, & David J. McConkey. (2006). Bortezomib inhibits docetaxel-induced apoptosis via a p21-dependent mechanism in human prostate cancer cells. Molecular Cancer Therapeutics. 5(8). 2043–2050. 40 indexed citations
9.
Lashinger, Laura M., Keyi Zhu, Simon A. Williams, et al.. (2005). Bortezomib Abolishes Tumor Necrosis Factor–Related Apoptosis-Inducing Ligand Resistance via a p21-Dependent Mechanism in Human Bladder and Prostate Cancer Cells. Cancer Research. 65(11). 4902–4908. 94 indexed citations
10.
Wei, Daoyan, Keyi Zhu, Liwei Wang, et al.. (2003). Direct demonstration of negative regulation of tumor growth and metastasis by host-inducible nitric oxide synthase.. PubMed. 63(14). 3855–9. 42 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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