Zhenkun Fu

815 total citations
39 papers, 641 citations indexed

About

Zhenkun Fu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Zhenkun Fu has authored 39 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 16 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Zhenkun Fu's work include Cancer Immunotherapy and Biomarkers (8 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Zhenkun Fu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (5 papers). Zhenkun Fu collaborates with scholars based in China, United States and Australia. Zhenkun Fu's co-authors include Dianjun Li, Da Pang, Dalin Li, Fengyan Xu, Weiguang Yuan, Dalin Li, Lihong Wang, Shuang Chen, Heng Li and Wei Jiang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

Zhenkun Fu

38 papers receiving 630 citations

Author Peers

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

Author Last Decade Papers Cites
Zhenkun Fu 314 262 199 100 83 39 641
Davide Germano 142 0.5× 229 0.9× 188 0.9× 107 1.1× 74 0.9× 10 553
Paweł Mach 210 0.7× 186 0.7× 127 0.6× 39 0.4× 81 1.0× 59 646
Christopher G. Fenton 264 0.8× 183 0.7× 334 1.7× 186 1.9× 73 0.9× 30 814
Elaine Cristina Morari 139 0.4× 323 1.2× 388 1.9× 124 1.2× 138 1.7× 28 859
Dong Zhao 191 0.6× 106 0.4× 197 1.0× 144 1.4× 54 0.7× 46 733
Xuezhen Luo 324 1.0× 96 0.4× 150 0.8× 118 1.2× 32 0.4× 41 861
Takaaki Oba 304 1.0× 425 1.6× 177 0.9× 23 0.2× 85 1.0× 45 716
Bernd Schnarr 222 0.7× 125 0.5× 159 0.8× 54 0.5× 57 0.7× 10 530
Chenyu Mao 133 0.4× 298 1.1× 224 1.1× 47 0.5× 160 1.9× 61 661
Aki Isobe 183 0.6× 166 0.6× 244 1.2× 38 0.4× 72 0.9× 25 800

Countries citing papers authored by Zhenkun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenkun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenkun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenkun Fu. A scholar is included among the top collaborators of Zhenkun Fu 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 Zhenkun Fu. Zhenkun Fu 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.
Mou, Lisha, Zhenkun Fu, Yuxian Chen, et al.. (2025). Na+/K+-ATPase: a multifunctional target in type 2 diabetes and pancreatic islets. Frontiers in Immunology. 16. 1555310–1555310.
2.
Li, Tianjiao, et al.. (2023). Inhibition of Polo-like kinase 1 (PLK1) triggers cell apoptosis via ROS-caused mitochondrial dysfunction in colorectal carcinoma. Journal of Cancer Research and Clinical Oncology. 149(10). 6883–6899. 5 indexed citations
3.
Li, Yin, et al.. (2023). G6PD activation in TNBC cells induces macrophage recruitment and M2 polarization to promote tumor progression. Cellular and Molecular Life Sciences. 80(6). 165–165. 21 indexed citations
4.
Li, Yin, Yupeng Zhang, Juan Yang, et al.. (2022). Targeting glucose‐6‐phosphate dehydrogenase by 6‐AN induces ROS ‐mediated autophagic cell death in breast cancer. FEBS Journal. 290(3). 763–779. 29 indexed citations
5.
Li, Fei, Qiao Liu, Yin Li, et al.. (2022). Targeting SPHK1/S1PR3-regulated S-1-P metabolic disorder triggers autophagic cell death in pulmonary lymphangiomyomatosis (LAM). Cell Death and Disease. 13(12). 1065–1065. 7 indexed citations
6.
Fu, Zhenkun, et al.. (2022). Cardiac Toxicity From Adjuvant Targeting Treatment for Breast Cancer Post-Surgery. Frontiers in Oncology. 12. 706861–706861. 13 indexed citations
7.
Jiao, Mingli, Shuang Chen, Fan Wang, et al.. (2015). SNP–SNP interactions of immunity related genes involved in the CD28/B7 pathway with susceptibility to invasive ductal carcinoma of the breast. Gene. 566(2). 217–222. 14 indexed citations
8.
Xu, Fengyan, Guiqin Zhou, Weiguang Yuan, et al.. (2014). Association of TNF-α, TNFRSF1A and TNFRSF1B Gene Polymorphisms with the Risk of Sporadic Breast Cancer in Northeast Chinese Han Women. PLoS ONE. 9(7). e101138–e101138. 31 indexed citations
9.
10.
Li, Dalin, Dalin Li, Zhenkun Fu, et al.. (2013). HVEM Gene Polymorphisms Are Associated with Sporadic Breast Cancer in Chinese Women. PLoS ONE. 8(8). e71040–e71040. 13 indexed citations
11.
Chen, Shuang, Qing Zhang, Liming Shen, et al.. (2012). Investigation of CD28 Gene Polymorphisms in Patients with Sporadic Breast Cancer in a Chinese Han Population in Northeast China. PLoS ONE. 7(10). e48031–e48031. 18 indexed citations
12.
Li, Dalin, Qiujin Zhang, Fengyan Xu, et al.. (2012). Association of CTLA-4 gene polymorphisms with sporadic breast cancer risk and clinical features in Han women of Northeast China. Molecular and Cellular Biochemistry. 364(1-2). 283–290. 32 indexed citations
13.
Xu, Fengyan, Dalin Li, Qiujin Zhang, et al.. (2012). Association of CD27 and CD70 gene polymorphisms with risk of sporadic breast cancer in Chinese women in Heilongjiang Province. Breast Cancer Research and Treatment. 133(3). 1105–1113. 11 indexed citations
14.
Xu, Fengyan, Dalin Li, Qiujin Zhang, et al.. (2011). ICOS gene polymorphisms are associated with sporadic breast cancer: a case-control study. BMC Cancer. 11(1). 392–392. 17 indexed citations
15.
Zhang, Hua, Dalin Li, Xiang Gao, et al.. (2011). PD-1 polymorphisms are associated with sporadic breast cancer in Chinese Han population of Northeast China. Breast Cancer Research and Treatment. 129(1). 195–201. 68 indexed citations
16.
Chen, Shuang, Dalin Li, Weiguang Yuan, et al.. (2011). Association of CD40 Gene Polymorphisms with Sporadic Breast Cancer in Chinese Han Women of Northeast China. PLoS ONE. 6(8). e23762–e23762. 16 indexed citations
17.
Fu, Zhenkun, Mingli Jiao, Mingyan Zhang, et al.. (2010). LFA-1 gene polymorphisms are associated with the sporadic infiltrative duct breast carcinoma in Chinese Han women of Heilongjiang Province. Breast Cancer Research and Treatment. 127(1). 265–271. 7 indexed citations
18.
Zhang, Jie, Mingyan Zhang, Wei Jiang, et al.. (2009). B7-H4gene polymorphisms are associated with sporadic breast cancer in a Chinese Han population. BMC Cancer. 9(1). 394–394. 17 indexed citations
19.
Fu, Zhenkun, Dalin Li, Wei Jiang, et al.. (2009). Association of BTLA gene polymorphisms with the risk of malignant breast cancer in Chinese women of Heilongjiang Province. Breast Cancer Research and Treatment. 120(1). 195–202. 40 indexed citations
20.
Wang, Lihong, Dalin Li, Zhenkun Fu, et al.. (2007). Association of CTLA-4 gene polymorphisms with sporadic breast cancer in Chinese Han population. BMC Cancer. 7(1). 173–173. 80 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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