Kegan Zhu

2.6k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Kegan Zhu is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Kegan Zhu has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Kegan Zhu's work include MicroRNA in disease regulation (10 papers), Extracellular vesicles in disease (8 papers) and Circular RNAs in diseases (8 papers). Kegan Zhu is often cited by papers focused on MicroRNA in disease regulation (10 papers), Extracellular vesicles in disease (8 papers) and Circular RNAs in diseases (8 papers). Kegan Zhu collaborates with scholars based in China and United States. Kegan Zhu's co-authors include Ting Deng, Haiyang Zhang, Yi Ba, Tao Ning, Guoguang Ying, Jialu Li, Qian Fan, Haiou Yang, Ming Bai and Zhan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS Genetics and Molecular Cancer.

In The Last Decade

Kegan Zhu

19 papers receiving 1.6k citations

Hit Papers

Exosome‐delivered circRNA promotes glycolysis to induce c... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kegan Zhu China 14 1.3k 1.2k 119 102 97 19 1.6k
Chengle Zhuang China 23 1.4k 1.0× 955 0.8× 117 1.0× 109 1.1× 37 0.4× 32 1.6k
Tianqiang Song China 18 749 0.6× 570 0.5× 89 0.7× 145 1.4× 63 0.6× 31 1.1k
Marianthi Tatari United Kingdom 11 482 0.4× 217 0.2× 67 0.6× 447 4.4× 76 0.8× 13 884
Lin Jia China 16 515 0.4× 250 0.2× 50 0.4× 121 1.2× 30 0.3× 36 769
Zhen Lu China 11 719 0.5× 390 0.3× 64 0.5× 237 2.3× 195 2.0× 22 1.1k
Chenliang Wang China 15 461 0.3× 355 0.3× 115 1.0× 332 3.3× 19 0.2× 28 947
Shenyi Yin China 10 621 0.5× 422 0.4× 27 0.2× 80 0.8× 38 0.4× 21 770
Jiantao Shi China 15 749 0.6× 246 0.2× 38 0.3× 125 1.2× 41 0.4× 37 1.0k
Jianfa Li China 23 1.2k 0.9× 957 0.8× 79 0.7× 87 0.9× 15 0.2× 35 1.4k

Countries citing papers authored by Kegan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Kegan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kegan Zhu

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

All Works

19 of 19 papers shown
1.
Pan, Wen, Mingqing Zhang, Kegan Zhu, et al.. (2025). Effects of microplastics on chemo-resistance and tumorigenesis of colorectal cancer. APOPTOSIS. 30(3-4). 1005–1020. 6 indexed citations
2.
Zhu, Kegan, Jiayu Yang, Wen Pan, et al.. (2023). The microprotein encoded by exosomal lncAKR1C2 promotes gastric cancer lymph node metastasis by regulating fatty acid metabolism. Cell Death and Disease. 14(10). 708–708. 37 indexed citations
3.
Hu, Dongzhi, Zhengyang Zhou, Junyi Wang, & Kegan Zhu. (2022). Screening of ferroptosis-related genes with prognostic effect in colorectal cancer by bioinformatic analysis. Frontiers in Molecular Biosciences. 9. 979854–979854. 7 indexed citations
4.
Zhang, Haiyang, Zhengyang Zhou, Rui Liu, et al.. (2021). Serum microRNAs as Biomarkers for the Noninvasive Early Diagnosis of Biliary Tract Cancer. International Journal of General Medicine. Volume 14. 1185–1195. 10 indexed citations
5.
Ning, Tao, Jialu Li, Yi He, et al.. (2021). Exosomal miR-208b related with oxaliplatin resistance promotes Treg expansion in colorectal cancer. Molecular Therapy. 29(9). 2723–2736. 124 indexed citations
6.
Li, Guoli, et al.. (2021). LncRNA PPM1A-AS Regulate Tumor Development Through Multiple Signal Pathways in T-Cell Acute Lymphoblastic Leukemia. Frontiers in Oncology. 11. 761205–761205. 7 indexed citations
7.
Tian, Fei, Peiyun Wang, Dan Lin, et al.. (2021). Exosome‐delivered miR‐221/222 exacerbates tumor liver metastasis by targeting SPINT1 in colorectal cancer. Cancer Science. 112(9). 3744–3755. 50 indexed citations
8.
Zhang, Haiyang, Meng Wang, Yi He, et al.. (2021). Chemotoxicity-induced exosomal lncFERO regulates ferroptosis and stemness in gastric cancer stem cells. Cell Death and Disease. 12(12). 1116–1116. 76 indexed citations
9.
Lin, Dan, Haiyang Zhang, Rui Liu, et al.. (2021). iRGD‐modified exosomes effectively deliver CPT1A siRNA to colon cancer cells, reversing oxaliplatin resistance by regulating fatty acid oxidation. Molecular Oncology. 15(12). 3430–3446. 86 indexed citations
10.
Yang, Haiou, Haiyang Zhang, Yuchong Yang, et al.. (2020). Hypoxia induced exosomal circRNA promotes metastasis of Colorectal Cancer via targeting GEF-H1/RhoA axis. Theranostics. 10(18). 8211–8226. 155 indexed citations
11.
Wang, Xinyi, Haiyang Zhang, Haiou Yang, et al.. (2020). Exosome‐delivered circRNA promotes glycolysis to induce chemoresistance through the miR‐122‐PKM2 axis in colorectal cancer. Molecular Oncology. 14(3). 539–555. 412 indexed citations breakdown →
12.
Zhang, Qiumo, Haiyang Zhang, Tao Ning, et al.. (2020). <p>Exosome-Delivered c-Met siRNA Could Reverse Chemoresistance to Cisplatin in Gastric Cancer</p>. International Journal of Nanomedicine. Volume 15. 2323–2335. 95 indexed citations
13.
Zhu, Kegan, Hanying Ding, Ao Yu, et al.. (2019). Co-targeting of EGFR by co-expressed miRNA-193a-3p/−5p in lung cancer. SHILAP Revista de lepidopterología. 1(1). 3 indexed citations
14.
Hu, Dongzhi, Kegan Zhu, Ming Bai, et al.. (2018). Plasma Exosomal Long Non-Coding RNAs Serve as Biomarkers for Early Detection of Colorectal Cancer. Cellular Physiology and Biochemistry. 51(6). 2704–2715. 77 indexed citations
15.
Zhang, Haiyang, Yi Wang, Ming Bai, et al.. (2017). Exosomes serve as nanoparticles to suppress tumor growth and angiogenesis in gastric cancer by delivering hepatocyte growth factor siRNA. Cancer Science. 109(3). 629–641. 127 indexed citations
16.
Zhu, Kegan, M. Liu, Zheng Fu, et al.. (2017). Plant microRNAs in larval food regulate honeybee caste development. PLoS Genetics. 13(8). e1006946–e1006946. 112 indexed citations
17.
Zhu, Kegan, Lei Liu, Junliang Zhang, et al.. (2016). MiR-29b suppresses the proliferation and migration of osteosarcoma cells by targeting CDK6. Protein & Cell. 7(6). 434–444. 61 indexed citations
18.
Zhu, Kegan, Hanying Ding, Wengong Wang, et al.. (2016). Tumor-suppressive miR-218-5p inhibits cancer cell proliferation and migration via EGFR in non-small cell lung cancer. Oncotarget. 7(19). 28075–28085. 69 indexed citations
19.
Yan, Xin, Hongwei Liang, Ting Deng, et al.. (2013). The identification of novel targets of miR-16 and characterization of their biological functions in cancer cells. Molecular Cancer. 12(1). 92–92. 53 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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