Zhan Zhou

4.1k total citations
113 papers, 2.7k citations indexed

About

Zhan Zhou is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zhan Zhou has authored 113 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 27 papers in Oncology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zhan Zhou's work include Monoclonal and Polyclonal Antibodies Research (19 papers), Immunotherapy and Immune Responses (16 papers) and vaccines and immunoinformatics approaches (15 papers). Zhan Zhou is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (19 papers), Immunotherapy and Immune Responses (16 papers) and vaccines and immunoinformatics approaches (15 papers). Zhan Zhou collaborates with scholars based in China, United States and Canada. Zhan Zhou's co-authors include Shuqing Chen, Jie Zhou, Xun Gu, Yongheng Chen, Zhixi Su, Zhuchu Chen, Shuyan Dai, Guangyu Xu, Guo Bao Wang and Wenyi Zhao and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Zhan Zhou

106 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhan Zhou China	27	1.5k	489	460	287	256	113	2.7k
Jing Gong China	31	1.0k 0.7×	345 0.7×	271 0.6×	261 0.9×	374 1.5×	101	2.9k
Rosalind E. Jenkins United Kingdom	41	2.1k 1.4×	801 1.6×	617 1.3×	403 1.4×	649 2.5×	103	5.1k
Eric A.G. Blomme United States	30	1.2k 0.8×	506 1.0×	270 0.6×	266 0.9×	298 1.2×	77	3.3k
Qin He China	35	1.7k 1.1×	523 1.1×	387 0.8×	396 1.4×	197 0.8×	146	3.4k
Zhi Zeng China	31	1.6k 1.1×	475 1.0×	377 0.8×	632 2.2×	91 0.4×	127	3.5k
Juan Chen China	28	1.1k 0.7×	222 0.5×	391 0.8×	323 1.1×	108 0.4×	195	2.8k
Tian Lan China	38	2.3k 1.6×	587 1.2×	630 1.4×	892 3.1×	208 0.8×	134	4.5k
Michael P. Caulfield United States	31	1.4k 0.9×	608 1.2×	161 0.3×	235 0.8×	109 0.4×	89	3.6k
David Masson France	38	1.2k 0.8×	731 1.5×	873 1.9×	423 1.5×	69 0.3×	162	4.5k
Ashok Sharma United States	30	1.2k 0.8×	313 0.6×	337 0.7×	399 1.4×	64 0.3×	192	2.9k

Countries citing papers authored by Zhan Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Zhan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Zhan Zhou. A scholar is included among the top collaborators of Zhan 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 Zhan Zhou. Zhan Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhou, Zhan, et al.. (2026). Molecular mechanism of enhanced ester synthesis in Monascus – Caproicibacterium co‐culture system based on transcriptomic and flavor metabolomic analysis. Journal of the Science of Food and Agriculture. 106(6). 3552–3563.

Pan, Yuanfei, Yanhong Wei, Yi Liu, et al.. (2025). Generalized biological foundation model with unified nucleic acid and protein language. Nature Machine Intelligence. 7(6). 942–953. 8 indexed citations

Yang, Shuo, Huaicheng Sun, Wenyi Zhao, et al.. (2025). scMOVIR: a single-cell multi-omics database for human viral infections and immune responses. Nucleic Acids Research. 54(D1). D871–D883. 1 indexed citations

Zhao, Wenyi, Ying Chi, Gang Pan, et al.. (2025). TRAIT: A Comprehensive Database for T-cell Receptor–antigen Interactions. Genomics Proteomics & Bioinformatics. 23(3). 1 indexed citations

Chen, Shuqing, et al.. (2025). Spanve: A Statistical Method for Downstream-friendly Spatially Variable Genes in Large-scale Data. Genomics Proteomics & Bioinformatics.

Zhang, Zhao, et al.. (2024). Global level of methylation in the sea lamprey (jawless vertebrate) genome is intermediate between invertebrate and jawed vertebrate genomes. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 342(5). 391–397.

He, Chao, Yongfeng Ding, Yan Yang, et al.. (2023). Stem cell landscape aids in tumor microenvironment identification and selection of therapeutic agents in gastric cancer. Cellular Signalling. 113. 110965–110965. 3 indexed citations

Zhou, Zhan, et al.. (2023). The effects of art therapy on quality of life and psychosomatic symptoms in adults with cancer: a systematic review and meta-analysis. BMC Complementary Medicine and Therapies. 23(1). 434–434. 7 indexed citations

Li, Wei, et al.. (2023). Targeted genome mining for microbial antitumor agents acting through DNA intercalation. Synthetic and Systems Biotechnology. 8(3). 520–526. 2 indexed citations

10.

Zhou, Zhan, et al.. (2023). TSNAD and TSNAdb: The Useful Toolkit for Clinical Application of Tumor-Specific Neoantigens. Methods in molecular biology. 2673. 167–174.

11.

Chi, Ying, Xian‐Sheng Hua, Jian Wu, et al.. (2022). TSNAdb v2.0: The Updated Version of Tumor-Specific Neoantigen Database. Genomics Proteomics & Bioinformatics. 21(2). 259–266. 14 indexed citations

12.

Zhou, Jie, Wenyi Zhao, Jingcheng Wu, et al.. (2019). Neoantigens Derived from Recurrently Mutated Genes as Potential Immunotherapy Targets for Gastric Cancer. BioMed Research International. 2019. 1–11. 24 indexed citations

13.

Zhang, Ying, Gaoqi Weng, Xiaoyue Yang, et al.. (2019). <p>Identification of an Activating Mutation in the Extracellular Domain of HER2 Conferring Resistance to Pertuzumab</p>. OncoTargets and Therapy. Volume 12. 11597–11608. 16 indexed citations

14.

Zhou, Zhan, Shanshan Wu, Jun Lai, et al.. (2017). Identification of trunk mutations in gastric carcinoma: a case study. BMC Medical Genomics. 10(1). 49–49. 4 indexed citations

15.

Zhou, Zhan, et al.. (2016). Pharmacogenomics of Drug Metabolizing Enzymes and Transporters: Relevance to Precision Medicine. Genomics Proteomics & Bioinformatics. 14(5). 298–313. 218 indexed citations

16.

Zhou, Zhan, et al.. (2016). Genomic data mining reveals a rich repertoire of transport proteins in Streptomyces. BMC Genomics. 17(S7). 510–510. 20 indexed citations

17.

Zhou, Zhan, Jingqi Zhou, Zhixi Su, & Xun Gu. (2014). Asymmetric Evolution of Human Transcription Factor Regulatory Networks. Molecular Biology and Evolution. 31(8). 2149–2155. 5 indexed citations

18.

Cao, Wei, Jie Xu, Zhan Zhou, et al.. (2012). Advanced Oxidation Protein Products Activate Intrarenal Renin–Angiotensin System via a CD36-Mediated, Redox-Dependent Pathway. Antioxidants and Redox Signaling. 18(1). 19–35. 60 indexed citations

19.

Zhou, Zhan, et al.. (2011). The -omics Era- Toward a Systems-Level Understanding of Streptomyces. Current Genomics. 12(6). 404–416. 21 indexed citations

20.

Lilburn, Timothy, et al.. (2011). Protease-associated cellular networks in malaria parasite Plasmodium falciparum. BMC Genomics. 12(S5). S9–S9. 18 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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