Zhonghe Ke

1.8k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Zhonghe Ke is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Zhonghe Ke has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Zhonghe Ke's work include Mitochondrial Function and Pathology (3 papers), CRISPR and Genetic Engineering (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Zhonghe Ke is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), CRISPR and Genetic Engineering (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Zhonghe Ke collaborates with scholars based in United States, China and Israel. Zhonghe Ke's co-authors include Andrei Seluanov, Vera Gorbunova, Zhiyong Mao, Michael Van Meter, Xiao Tian, Vadim N. Gladyshev, Zhengdong D. Zhang, Jorge Azpurua, Julia Ablaeva and Quanwei Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Zhonghe Ke

25 papers receiving 1.2k citations

Hit Papers

LINE1 Derepression in Age... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhonghe Ke United States 13 751 247 193 186 134 25 1.2k
Patrick J. Wijchers Netherlands 15 1.7k 2.3× 71 0.3× 131 0.7× 110 0.6× 298 2.2× 17 2.0k
Sophie Louvet‐Vallée France 20 1.1k 1.5× 71 0.3× 158 0.8× 69 0.4× 85 0.6× 26 1.6k
Gert‐Jan Hendriks Sweden 14 1.0k 1.4× 86 0.3× 213 1.1× 174 0.9× 137 1.0× 16 1.4k
Ian R. Kill United Kingdom 22 1.7k 2.2× 281 1.1× 94 0.5× 47 0.3× 198 1.5× 36 2.0k
Go Nagamatsu Japan 21 1.6k 2.1× 144 0.6× 75 0.4× 285 1.5× 41 0.3× 35 2.4k
Imad Shams Israel 18 529 0.7× 146 0.6× 104 0.5× 64 0.3× 151 1.1× 34 981
Eli Arama Israel 23 1.5k 2.0× 69 0.3× 102 0.5× 346 1.9× 113 0.8× 33 1.9k
Lindsay K. MacDougall United Kingdom 12 1.3k 1.7× 173 0.7× 82 0.4× 134 0.7× 47 0.4× 15 1.6k
Maria Laura Idda Italy 15 507 0.7× 244 1.0× 75 0.4× 127 0.7× 32 0.2× 31 1.0k
Florian Heyd Germany 23 1.2k 1.6× 173 0.7× 37 0.2× 302 1.6× 93 0.7× 64 1.8k

Countries citing papers authored by Zhonghe Ke

Since Specialization
Citations

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

Fields of papers citing papers by Zhonghe Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhonghe Ke

This figure shows the co-authorship network connecting the top 25 collaborators of Zhonghe Ke. A scholar is included among the top collaborators of Zhonghe Ke 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 Zhonghe Ke. Zhonghe Ke 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.
Ding, Hui, et al.. (2025). A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer. International Journal of Women s Health. Volume 17. 739–749. 1 indexed citations
3.
Wang, Ying, Soichi Sano, Yoshimitsu Yura, et al.. (2024). Tet2-mediated clonal hematopoiesis in non-conditioned mice accelerates age-associated cardiac dysfunction. JCI Insight. 9(21). 2 indexed citations
4.
Zhao, Kewei, Xin Zheng, Tao Liu, et al.. (2024). Tissue-Matched IgH Gene Rearrangement of Circulating Tumor DNA Shows Significant Value in Predicting the Progression of Diffuse Large B Cell Lymphoma. The Oncologist. 29(5). e672–e680. 3 indexed citations
5.
Tan, Lijie, Xiao Xiao, Beibei Xin, et al.. (2024). Detection of the DNA methylation of seven genes contribute to the early diagnosis of lung cancer. Journal of Cancer Research and Clinical Oncology. 150(2). 77–77. 8 indexed citations
6.
Zhao, Yang, Quanwei Zhang, Quan Lu, et al.. (2021). Transposon-triggered innate immune response confers cancer resistance to the blind mole rat. Nature Immunology. 22(10). 1219–1230. 54 indexed citations
7.
Ke, Zhonghe, et al.. (2020). Short-term calorie restriction enhances DNA repair by non-homologous end joining in mice. SHILAP Revista de lepidopterología. 6(1). 9–9. 19 indexed citations
8.
Wang, Ying, Soichi Sano, Yoshimitsu Yura, et al.. (2020). Tet2-mediated clonal hematopoiesis in nonconditioned mice accelerates age-associated cardiac dysfunction. JCI Insight. 5(6). 121 indexed citations
9.
Taguchi, Taketo, Masaki Takasugi, Zhonghe Ke, et al.. (2020). Naked mole‐rats are extremely resistant to post‐traumatic osteoarthritis. Aging Cell. 19(11). e13255–e13255. 10 indexed citations
10.
Simon, Matthew, Michael Van Meter, Julia Ablaeva, et al.. (2019). LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammation. Cell Metabolism. 29(4). 871–885.e5. 305 indexed citations breakdown →
11.
Tan, Li, Zhonghe Ke, Gregory Tombline, et al.. (2017). Naked Mole Rat Cells Have a Stable Epigenome that Resists iPSC Reprogramming. Stem Cell Reports. 9(5). 1721–1734. 57 indexed citations
12.
Ke, Zhonghe, Adam B. Johnson, Facundo Luna, et al.. (2017). Translation fidelity coevolves with longevity. Aging Cell. 16(5). 988–993. 52 indexed citations
13.
Xu, Juan, Zhonghe Ke, Jianhong Xia, Fang He, & Baolong Bao. (2016). Change of body height is regulated by thyroid hormone during metamorphosis in flatfishes and zebrafish. General and Comparative Endocrinology. 236. 9–16. 10 indexed citations
14.
Ke, Zhonghe, et al.. (2014). Novel husbandry techniques support survival of naked mole rat (Heterocephalus glaber) pups.. PubMed. 53(1). 89–91. 12 indexed citations
15.
Li, Zhihuan, Matthew R. Johnson, Zhonghe Ke, Lili Chen, & Michael A. Welte. (2014). Drosophila Lipid Droplets Buffer the H2Av Supply to Protect Early Embryonic Development. Current Biology. 24(13). 1485–1491. 62 indexed citations
16.
Azpurua, Jorge, Zhonghe Ke, Quanwei Zhang, et al.. (2013). Naked mole-rat has increased translational fidelity compared with the mouse, as well as a unique 28S ribosomal RNA cleavage. Proceedings of the National Academy of Sciences. 110(43). 17350–17355. 116 indexed citations
17.
Mao, Zhiyong, Zhonghe Ke, Vera Gorbunova, & Andrei Seluanov. (2012). Replicatively senescent cells are arrested in G1 and G2 phases. Aging. 4(6). 431–435. 100 indexed citations
18.
Mao, Zhiyong, Xiao Tian, Michael Van Meter, et al.. (2012). Sirtuin 6 (SIRT6) rescues the decline of homologous recombination repair during replicative senescence. Proceedings of the National Academy of Sciences. 109(29). 11800–11805. 131 indexed citations
19.
Bao, Baolong, Zhonghe Ke, Eric Peatman, et al.. (2011). Proliferating cells in suborbital tissue drive eye migration in flatfish. Developmental Biology. 351(1). 200–207. 41 indexed citations
20.
Wang, Shaolin, Yan Jiang, Linlin Yang, et al.. (2010). Generation and Analysis of ESTs from the Grass Carp,Ctenopharyngodon idellus. Animal Biotechnology. 21(4). 217–225. 4 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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