Ming Zhou

19.8k total citations · 3 hit papers
346 papers, 14.1k citations indexed

About

Ming Zhou is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ming Zhou has authored 346 papers receiving a total of 14.1k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Molecular Biology, 52 papers in Cancer Research and 43 papers in Oncology. Recurrent topics in Ming Zhou's work include RNA modifications and cancer (25 papers), Cancer-related molecular mechanisms research (24 papers) and Renal and related cancers (18 papers). Ming Zhou is often cited by papers focused on RNA modifications and cancer (25 papers), Cancer-related molecular mechanisms research (24 papers) and Renal and related cancers (18 papers). Ming Zhou collaborates with scholars based in China, United States and Japan. Ming Zhou's co-authors include Timothy D. Veenstra, Ronen Marmorstein, Thomas P. Conrads, Deborah K. Morrison, Sooryanarayana Varambally, Terrence R. Barrette, Richard G. A. B. Sewalt, Martin G. Sanda, Debashis Ghosh and Kenneth J. Pienta and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ming Zhou

333 papers receiving 13.9k citations

Hit Papers

The polycomb group protei... 2002 2026 2010 2018 2002 2014 2017 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Ming Zhou 9.7k 2.3k 2.0k 1.8k 1.2k 346 14.1k
Jing Li 9.9k 1.0× 2.0k 0.9× 932 0.5× 2.3k 1.3× 1.3k 1.1× 404 13.2k
Jiří Zavadil 8.1k 0.8× 2.7k 1.2× 1.1k 0.6× 2.9k 1.6× 1.3k 1.0× 147 12.6k
Roger R. Reddel 13.6k 1.4× 1.8k 0.8× 1.4k 0.7× 3.0k 1.7× 1.0k 0.8× 238 20.9k
Tracey A. Rouault 11.2k 1.2× 1.5k 0.7× 1.3k 0.6× 735 0.4× 1.2k 1.0× 240 22.9k
Mark D. Fleming 9.2k 1.0× 3.5k 1.5× 1.6k 0.8× 3.4k 1.9× 1.9k 1.5× 227 22.4k
Chenguang Wang 7.8k 0.8× 3.2k 1.4× 1.4k 0.7× 2.8k 1.5× 644 0.5× 249 12.0k
Carine Michiels 7.4k 0.8× 5.3k 2.3× 1.7k 0.8× 2.0k 1.1× 2.0k 1.7× 198 15.8k
George Thomas 5.8k 0.6× 2.5k 1.1× 3.8k 1.9× 2.9k 1.6× 1.3k 1.1× 239 11.8k
Li Li 8.9k 0.9× 2.8k 1.2× 784 0.4× 1.9k 1.1× 1.6k 1.3× 493 13.6k
Tao Liu 10.1k 1.0× 5.0k 2.2× 1.1k 0.6× 2.3k 1.3× 1.8k 1.5× 502 16.2k

Countries citing papers authored by Ming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhou. A scholar is included among the top collaborators of Ming 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 Ming Zhou. Ming 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.
Zhou, Ming, Bei Chen, Chenxi Lu, et al.. (2024). ImmunoPET imaging of LAG-3 expression in tumor microenvironment with 68Ga-labelled cyclic peptides tracers: from bench to bedside. Journal for ImmunoTherapy of Cancer. 12(7). e009153–e009153. 4 indexed citations
2.
Wang, Lingli, et al.. (2024). IL-7 promotes mRNA vaccine-induced long-term immunity. Journal of Nanobiotechnology. 22(1). 716–716. 1 indexed citations
4.
Wang, Mengting, et al.. (2024). Trimethylamine N-oxide induces non-alcoholic fatty liver disease by activating the PERK. Toxicology Letters. 400. 93–103. 7 indexed citations
5.
Zhao, Jianqing, et al.. (2024). Z-Ligustilide restricts rabies virus replication by inducing ferroptosis through the ACSL4-LPCAT3-POR pathway. Veterinary Microbiology. 298. 110260–110260. 4 indexed citations
6.
Huang, Junfeng, et al.. (2024). Cytochemical localization and synthesis mechanism of the glucomannan in pseudobulbs of Bletilla striata Reichb. f. Horticulture Research. 11(5). uhae092–uhae092. 4 indexed citations
7.
Park, Jung‐Eun, Yan Zeng, Muhammad S. Alam, et al.. (2024). Centrosome amplification and aneuploidy driven by the HIV-1-induced Vpr•VprBP•Plk4 complex in CD4+ T cells. Nature Communications. 15(1). 2017–2017. 8 indexed citations
8.
Zhou, Chenfei, Wěi Li, Zhengbo Song, et al.. (2023). LBA33 A first-in-human phase I study of a novel KRAS G12D inhibitor HRS-4642 in patients with advanced solid tumors harboring KRAS G12D mutation. Annals of Oncology. 34. S1273–S1273. 37 indexed citations
9.
Ren, Liping, et al.. (2023). Rice–fish coculture system enhances paddy soil fertility, bacterial network stability and keystone taxa diversity. Agriculture Ecosystems & Environment. 348. 108399–108399. 14 indexed citations
10.
Chiu, Yu‐Hsin, Christopher B. Medina, Catherine A. Doyle, et al.. (2021). Deacetylation as a receptor-regulated direct activation switch for pannexin channels. Nature Communications. 12(1). 18 indexed citations
11.
Arandjelovic, Sanja, Justin S. A. Perry, Ming Zhou, et al.. (2021). ELMO1 signaling is a promoter of osteoclast function and bone loss. Nature Communications. 12(1). 4974–4974. 20 indexed citations
13.
Zhang, Yuanye, et al.. (2020). Adaptive transgenerational effects remain significant. Ecology Letters. 23(11). 1719–1720. 11 indexed citations
14.
Yin, Junjie, et al.. (2019). Transgenerational effects benefit offspring across diverse environments: a meta‐analysis in plants and animals. Ecology Letters. 22(11). 1976–1986. 174 indexed citations
15.
Tripathi, Brajendra K., Xiaolan Qian, Ming Zhou, et al.. (2019). SRC and ERK cooperatively phosphorylate DLC1 and attenuate its Rho-GAP and tumor suppressor functions. The Journal of Cell Biology. 218(9). 3060–3076. 11 indexed citations
16.
Arandjelovic, Sanja, Justin S. A. Perry, Christopher D. Lucas, et al.. (2019). A noncanonical role for the engulfment gene ELMO1 in neutrophils that promotes inflammatory arthritis. Nature Immunology. 20(2). 141–151. 35 indexed citations
17.
Lim, Sangbin, Joshua B. Phillips, Luciana Madeira da Silva, et al.. (2017). Interplay between Immune Checkpoint Proteins and Cellular Metabolism. Cancer Research. 77(6). 1245–1249. 82 indexed citations
18.
Tripathi, Brajendra K., Xiaolan Qian, Ming Zhou, et al.. (2017). Receptor tyrosine kinase activation of RhoA is mediated by AKT phosphorylation of DLC1. The Journal of Cell Biology. 216(12). 4255–4270. 30 indexed citations
19.
Morrow, James J., Arnulfo Mendoza, Allyson E. Koyen, et al.. (2016). mTOR Inhibition Mitigates Enhanced mRNA Translation Associated with the Metastatic Phenotype of Osteosarcoma Cells In Vivo. Clinical Cancer Research. 22(24). 6129–6141. 22 indexed citations
20.
Marino, Natascia, Jean‐Claude Marshall, Joshua W. Collins, et al.. (2013). Nm23-H1 Binds to Gelsolin and Inactivates Its Actin-Severing Capacity to Promote Tumor Cell Motility and Metastasis. Cancer Research. 73(19). 5949–5962. 49 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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