Hua‐Fu Zhou

2.3k total citations · 1 hit paper
54 papers, 1.7k citations indexed

About

Hua‐Fu Zhou is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hua‐Fu Zhou has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Oncology. Recurrent topics in Hua‐Fu Zhou's work include RNA modifications and cancer (19 papers), Ferroptosis and cancer prognosis (11 papers) and Cancer-related molecular mechanisms research (10 papers). Hua‐Fu Zhou is often cited by papers focused on RNA modifications and cancer (19 papers), Ferroptosis and cancer prognosis (11 papers) and Cancer-related molecular mechanisms research (10 papers). Hua‐Fu Zhou collaborates with scholars based in China. Hua‐Fu Zhou's co-authors include Wenzhou Liu, Tao Liu, Nuo Yang, Feng Xu, Yu Sun, Feng Xu, Gang Chen, Guosheng Li, Yi‐Wu Dang and Jinliang Kong and has published in prestigious journals such as PLoS ONE, European Heart Journal and BMC Cancer.

In The Last Decade

Hua‐Fu Zhou

48 papers receiving 1.7k citations

Hit Papers

Signaling pathway of MAPK/ERK in cell proliferation, diff... 2015 2026 2018 2022 2015 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Signaling pathway of MAPK/ERK in cell proliferation, differentiation, migration, senescence and apoptosis
    2015 1.4k citations Yu Sun, Wenzhou Liu et al. Journal of Receptors and Signal Transduction profile →

Peers

Hua‐Fu Zhou
Fei Wu China
Young Taek Oh South Korea
Tingting Fang China
Yongting Luo China
Shengbing Liu China
Chunhong Jia China
Yueh‐Min Lin Taiwan
Shuhui Zhang China
Fei Wu China
Hua‐Fu Zhou
Citations per year, relative to Hua‐Fu Zhou Hua‐Fu Zhou (= 1×) peers Fei Wu

Countries citing papers authored by Hua‐Fu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Hua‐Fu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua‐Fu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Fu Zhou. A scholar is included among the top collaborators of Hua‐Fu 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 Hua‐Fu Zhou. Hua‐Fu 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, Hua‐Fu, et al.. (2025). Potential measures to enhance understanding of coffee-drinking timing and mortality. European Heart Journal. 46(33). 3307–3308.
2.
Li, Jingxiao, Guosheng Li, Guiyu Feng, et al.. (2025). Risk factors analysis of hypokalemia after radical resection of esophageal cancer and establishment of a nomogram risk prediction model. Frontiers in Surgery. 11. 1433751–1433751. 1 indexed citations
3.
Zhou, Hua‐Fu, et al.. (2024). Concerns on ‘Changes in frailty and incident cardiovascular disease in three prospective cohorts’. European Heart Journal. 45(43). 4661–4661. 1 indexed citations
4.
Gao, Feng, Guosheng Li, Xiang Gao, et al.. (2024). Preoperative prediction of occult lymph node metastasis in patients with non-small cell lung cancer: a simple and widely applicable model. BMC Pulmonary Medicine. 24(1). 557–557.
5.
Xu, He, Yue Li, Junping Liu, et al.. (2024). The causal relationship between COVID-19 and ten esophageal diseases: a study utilizing Mendelian randomization. Frontiers in Medicine. 11. 1346888–1346888.
6.
7.
Li, Guosheng, Zhi‐Guang Huang, Rong‐Quan He, et al.. (2023). ITGB4 Serves as an Identification and Prognosis Marker Associated with Immune Infiltration in Small Cell Lung Carcinoma. Molecular Biotechnology. 66(10). 2956–2971. 3 indexed citations
8.
Tang, Yu-Lu, Guosheng Li, Dongming Li, et al.. (2022). The clinical significance of integrin subunit alpha V in cancers: from small cell lung carcinoma to pan-cancer. BMC Pulmonary Medicine. 22(1). 300–300. 7 indexed citations
9.
Li, Guosheng, Li Gao, Huiping Lu, et al.. (2022). SYNJ2 is a novel and potential biomarker for the prediction and treatment of cancers: from lung squamous cell carcinoma to pan-cancer. BMC Medical Genomics. 15(1). 114–114. 4 indexed citations
10.
Huang, Wan‐Ying, Gang Chen, Shangwei Chen, et al.. (2021). The Indication of Poor Prognosis by High Expression of ENO1 in Squamous Cell Carcinoma of the Lung. Journal of Oncology. 2021. 1–11. 6 indexed citations
11.
Chen, Shangwei, Hua‐Fu Zhou, Hanjie Zhang, et al.. (2021). The Clinical Significance and Potential Molecular Mechanism of PTTG1 in Esophageal Squamous Cell Carcinoma. Frontiers in Genetics. 11. 583085–583085. 12 indexed citations
12.
Yang, Daping, Huiping Lu, Gang Chen, et al.. (2020). Integrated expression analysis revealed RUNX2 upregulation in lung squamous cell carcinoma tissues. IET Systems Biology. 14(5). 252–260. 7 indexed citations
13.
Huang, Shuping, Yifan Jiang, Linjie Yang, et al.. (2020). Downregulation of miR-125b-5p and Its Prospective Molecular Mechanism in Lung Squamous Cell Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 37(2). 125–140. 6 indexed citations
14.
Zhou, Hua‐Fu, et al.. (2018). An updated meta-analysis for association of glutathione S-transferase P1 gene polymorphism with the susceptibility of lung cancer. Journal of Cancer Research and Therapeutics. 14(12). 1084–1084. 6 indexed citations
15.
Xu, Feng, et al.. (2018). The more potential performance of nidogen 2 methylation by tissue or plasma DNA over brichoalveolar lavage DNA in diagnosis of nonsmall cell lung cancer. Journal of Cancer Research and Therapeutics. 14(Suppl 2). S341–S346. 9 indexed citations
16.
Sun, Yu, Wenzhou Liu, Tao Liu, et al.. (2015). Signaling pathway of MAPK/ERK in cell proliferation, differentiation, migration, senescence and apoptosis. Journal of Receptors and Signal Transduction. 35(6). 600–604. 1388 indexed citations breakdown →
17.
Liu, Wenzhou, et al.. (2014). Role of toll-like receptors in myocardial infarction. Journal of Receptors and Signal Transduction. 35(5). 420–422. 5 indexed citations
18.
Zhao, Yangxing, Hua‐Fu Zhou, Kelong Ma, et al.. (2013). Abnormal methylation of seven genes and their associations with clinical characteristics in early stage non-small cell lung cancer. Oncology Letters. 5(4). 1211–1218. 38 indexed citations
19.
Xu, Feng, et al.. (2012). A systematic review and meta-analysis of the association between angiotensin II type 1 receptor A1166C gene polymorphism and myocardial infarction susceptibility. Journal of the Renin-Angiotensin-Aldosterone System. 15(3). 307–315. 15 indexed citations
20.
Xu, Feng, et al.. (2012). Lack of Association of Glutathione S-transferase M3 Gene Polymorphism with the Susceptibility of Lung Cancer. Asian Pacific Journal of Cancer Prevention. 13(9). 4465–4468. 5 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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