Yan Zhou

5.6k total citations · 1 hit paper
122 papers, 3.3k citations indexed

About

Yan Zhou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yan Zhou has authored 122 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 30 papers in Oncology and 28 papers in Cancer Research. Recurrent topics in Yan Zhou's work include Cancer-related Molecular Pathways (11 papers), RNA modifications and cancer (11 papers) and Epigenetics and DNA Methylation (10 papers). Yan Zhou is often cited by papers focused on Cancer-related Molecular Pathways (11 papers), RNA modifications and cancer (11 papers) and Epigenetics and DNA Methylation (10 papers). Yan Zhou collaborates with scholars based in United States, China and Russia. Yan Zhou's co-authors include Nandini Dendukuri, Susan A. Shinton, Richard R. Hardy, Karthik Devarajan, Erica A. Golemis, Ilya G. Serebriiskii, Igor Astsaturov, Lynn L. Rumfelt, Margret B. Einarson and Émmanuelle Nicolas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Yan Zhou

117 papers receiving 3.2k citations

Hit Papers

Ferroptotic cell death tr... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yan Zhou 1.6k 757 754 703 509 122 3.3k
Matthias S. Matter 1.6k 1.0× 1.0k 1.4× 903 1.2× 617 0.9× 421 0.8× 91 3.7k
Wenjie Huang 2.3k 1.4× 1.2k 1.6× 836 1.1× 610 0.9× 488 1.0× 176 3.8k
Konstantin Shilo 1.4k 0.9× 637 0.8× 957 1.3× 499 0.7× 716 1.4× 101 3.3k
Qinglei Gao 2.1k 1.3× 756 1.0× 1.0k 1.4× 569 0.8× 337 0.7× 171 3.7k
Trivadi S. Ganesan 1.7k 1.1× 590 0.8× 1.2k 1.6× 529 0.8× 365 0.7× 166 3.8k
Ravindra Kolhe 1.6k 1.0× 726 1.0× 664 0.9× 527 0.7× 273 0.5× 147 3.4k
Weiguo Hu 1.2k 0.7× 536 0.7× 708 0.9× 950 1.4× 501 1.0× 138 3.2k
Loren Joseph 1.4k 0.9× 657 0.9× 835 1.1× 406 0.6× 402 0.8× 75 3.2k
Yusuke Kobayashi 1.3k 0.8× 658 0.9× 532 0.7× 525 0.7× 344 0.7× 232 3.4k

Countries citing papers authored by Yan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Zhou. A scholar is included among the top collaborators of Yan Zhou 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 Yan Zhou. Yan Zhou 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.
2.
Murayama, Takahiko, Jun Nakayama, Kenichi Miyata, et al.. (2024). Targeting DHX9 Triggers Tumor-Intrinsic Interferon Response and Replication Stress in Small Cell Lung Cancer. Cancer Discovery. 14(3). 468–491. 47 indexed citations
3.
Zhou, Yan, et al.. (2023). The expression and clinical significance of apolipoprotein C1 in cervix cancer. European Journal of Gynaecological Oncology. 44(6). 67–67. 1 indexed citations
4.
He, Shan, Tien D. Bui, Yuanyuan Tian, et al.. (2023). Tissue-infiltrating alloreactive T cells require Id3 to deflect PD-1–mediated immune suppression during GVHD. Blood. 143(2). 166–177. 6 indexed citations
5.
Movva, Sujana, Elizabeth A. Handorf, Edwin Choy, et al.. (2023). SAR-096: Phase II Clinical Trial of Ribociclib in Combination with Everolimus in Advanced Dedifferentiated Liposarcoma (DDL) and Leiomyosarcoma (LMS). Clinical Cancer Research. 30(2). 315–322. 14 indexed citations
6.
Saaoud, Fatma, Lu Liu, Keman Xu, et al.. (2022). Aorta- and liver-generated TMAO enhances trained immunity for increased inflammation via ER stress/mitochondrial ROS/glycolysis pathways. JCI Insight. 8(1). 80 indexed citations
7.
Wu, Shuo, Julia Ma, Yan Zhou, et al.. (2022). A yellow fever virus NS4B inhibitor not only suppresses viral replication, but also enhances the virus activation of RIG-I-like receptor-mediated innate immune response. PLoS Pathogens. 18(1). e1010271–e1010271. 16 indexed citations
8.
Beatty, Alexander, Tanu Singh, Yulia Y. Tyurina, et al.. (2021). Ferroptotic cell death triggered by conjugated linolenic acids is mediated by ACSL1. Nature Communications. 12(1). 2244–2244. 176 indexed citations breakdown →
9.
Wei, Wei, Zhihui Song, Wenming Xiao, et al.. (2020). A20 and RBX1 Regulate Brentuximab Vedotin Sensitivity in Hodgkin Lymphoma Models. Clinical Cancer Research. 26(15). 4093–4106. 20 indexed citations
10.
Ye, Shuai, Lillian R. Klug, Martin G. Belinsky, et al.. (2020). Identification of Wee1 as a target in combination with avapritinib for gastrointestinal stromal tumor treatment. JCI Insight. 6(2). 6 indexed citations
11.
Nicolas, Émmanuelle, Ilya G. Serebriiskii, Pooja Ghatalia, et al.. (2019). Interaction of germline variants in a family with a history of early‐onset clear cell renal cell carcinoma. Molecular Genetics & Genomic Medicine. 7(3). e556–e556. 9 indexed citations
12.
Lulla, Amriti R., Michael Slifker, Yan Zhou, et al.. (2017). miR-6883 Family miRNAs Target CDK4/6 to Induce G1 Phase Cell-Cycle Arrest in Colon Cancer Cells. Cancer Research. 77(24). 6902–6913. 44 indexed citations
13.
Liu, Bowei, Liudi Tang, Xiaohui Zhang, et al.. (2017). A cell-based high throughput screening assay for the discovery of cGAS-STING pathway agonists. Antiviral Research. 147. 37–46. 61 indexed citations
14.
Pathak, Harsh B., Martin G. Belinsky, Karthik Devarajan, et al.. (2016). Combination of Imatinib Mesylate and AKT Inhibitor Provides Synergistic Effects in Preclinical Study of Gastrointestinal Stromal Tumor. Clinical Cancer Research. 23(1). 171–180. 30 indexed citations
15.
Zhou, Yan, S. E. Lysenko, Linara Gabitova, et al.. (2016). Screening of Conditionally Reprogrammed Patient-Derived Carcinoma Cells Identifies ERCC3–MYC Interactions as a Target in Pancreatic Cancer. Clinical Cancer Research. 22(24). 6153–6163. 47 indexed citations
16.
Zhou, Yan, Yuesheng Li, Srinivasa Rao Bandi, et al.. (2015). Lin28b promotes fetal B lymphopoiesis through the transcription factor Arid3a. The Journal of Experimental Medicine. 212(4). 569–580. 97 indexed citations
17.
Gritsina, Galina, Fang Xiao, Shane W. O’Brien, et al.. (2015). Targeted Blockade of JAK/STAT3 Signaling Inhibits Ovarian Carcinoma Growth. Molecular Cancer Therapeutics. 14(4). 1035–1047. 84 indexed citations
18.
Kung, Che-Pei, Sakina Khaku, Matthew Jennis, Yan Zhou, & Maureen E. Murphy. (2014). Identification of TRIML2, a Novel p53 Target, that Enhances p53 SUMOylation and Regulates the Transactivation of Proapoptotic Genes. Molecular Cancer Research. 13(2). 250–262. 49 indexed citations
19.
Wang, Shouyu, Xuming Wu, Yansu Chen, et al.. (2012). Prognostic and Predictive Role of JWA and XRCC1 Expressions in Gastric Cancer. Clinical Cancer Research. 18(10). 2987–2996. 102 indexed citations
20.
Zhou, Yan, et al.. (2011). Serum lipid/lipoprotein and arterial blood pressure among Chinese nonagenarians/centenarians. Blood Pressure. 20(5). 296–302. 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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