Jinyu Zhou

415 total citations
27 papers, 322 citations indexed

About

Jinyu Zhou is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jinyu Zhou has authored 27 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jinyu Zhou's work include Glycosylation and Glycoproteins Research (15 papers), Galectins and Cancer Biology (5 papers) and Infant Nutrition and Health (4 papers). Jinyu Zhou is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Galectins and Cancer Biology (5 papers) and Infant Nutrition and Health (4 papers). Jinyu Zhou collaborates with scholars based in China, United Kingdom and United States. Jinyu Zhou's co-authors include Lidong He, Lu Gong, Yiqiang Chen, Yuan Zhang, Qian Chen, Yiming Niu, Liying Zhang, Miaomiao Han, Yan Li and Yiqiang Chen and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and American Journal of Clinical Nutrition.

In The Last Decade

Jinyu Zhou

22 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinyu Zhou China 9 224 119 70 37 30 27 322
Tamara Martinović Croatia 11 196 0.9× 74 0.6× 19 0.3× 25 0.7× 14 0.5× 17 330
Kittinan Komolpis Thailand 13 218 1.0× 137 1.2× 41 0.6× 23 0.6× 34 1.1× 27 372
Béla Reiz Canada 13 277 1.2× 30 0.3× 40 0.6× 32 0.9× 23 0.8× 30 527
Sook‐Kyung Kim South Korea 13 317 1.4× 48 0.4× 44 0.6× 58 1.6× 16 0.5× 32 513
Jiawen Lei China 10 223 1.0× 99 0.8× 129 1.8× 10 0.3× 110 3.7× 15 364
Varsha Joshi India 13 349 1.6× 57 0.5× 26 0.4× 50 1.4× 181 6.0× 15 523
Paul P. Dillon Ireland 11 315 1.4× 178 1.5× 103 1.5× 22 0.6× 125 4.2× 14 540
Heather A. Lee United Kingdom 10 187 0.8× 90 0.8× 113 1.6× 14 0.4× 68 2.3× 15 362
Stephen J. Daly Ireland 10 283 1.3× 156 1.3× 116 1.7× 14 0.4× 103 3.4× 13 473
Tarun K. Dhar India 14 211 0.9× 136 1.1× 303 4.3× 26 0.7× 38 1.3× 36 564

Countries citing papers authored by Jinyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jinyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jinyu Zhou. A scholar is included among the top collaborators of Jinyu 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 Jinyu Zhou. Jinyu 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.
Adriaenssens, Nele, Stéphane Steurbaut, An Vermeulen, et al.. (2025). Synergy of Body Composition, Exercise Oncology, and Pharmacokinetics: A Narrative Review of Personalizing Paclitaxel Treatment for Breast Cancer. Cancers. 17(8). 1271–1271.
2.
Wang, Junyao, Zi Li, Qiang Zhao, et al.. (2025). Dietary sulfur amino acid restriction improves metabolic health by reducing fat mass. PubMed. 4(3). loaf009–loaf009.
4.
Yang, Bin, Rong Xiang, Yang Qu, et al.. (2025). Mediterranean diet, metabolic signature, genetic predisposition, and risk of rheumatoid arthritis: a large-scale population-based prospective cohort study. American Journal of Clinical Nutrition. 122(6). 1778–1787.
5.
Cao, Yinghao, Shaoting Li, Zi‐Kui Liu, et al.. (2025). SMART: An Approach for Accurate Formula Assignment in Spatially Resolved Metabolomics. Analytical Chemistry. 97(29). 15570–15578.
6.
Zhou, Jinyu, et al.. (2024). N‐glycosylation of disease‐specific haptoglobin for the early screening of diabetic retinopathy. PROTEOMICS - CLINICAL APPLICATIONS. 18(5). e2300032–e2300032. 1 indexed citations
7.
Huang, Chuncui, Hui Wang, Jinyu Zhou, et al.. (2024). Protocol for automated N-glycan sequencing using mass spectrometry and computer-assisted intelligent fragmentation. STAR Protocols. 5(2). 102976–102976. 1 indexed citations
8.
Zhang, Jiyun, Rui Ding, Jinyu Zhou, et al.. (2022). Diagnostic potential of site-specific serotransferrin N-glycosylation in discriminating different liver diseases. Clinica Chimica Acta. 539. 175–183. 4 indexed citations
10.
Wang, Junyan, Chuncui Huang, Jinyu Zhou, Keli Zhao, & Yan Li. (2021). Causal link between immunoglobulin G glycosylation and cancer: A potential glycobiomarker for early tumor detection. Cellular Immunology. 361. 104282–104282. 15 indexed citations
11.
Zhang, Mo, Jinyu Zhou, Dan Li, et al.. (2021). Fe3O4@PANI: a magnetic polyaniline nanomaterial for highly efficient and handy enrichment of intactN-glycopeptides. The Analyst. 146(13). 4261–4267. 12 indexed citations
12.
Zhou, Jinyu, Huanyu Gao, Wenchun Xie, & Yan Li. (2020). Bovine serum albumin affects N-glycoforms of murine IgG monoclonal antibody purified from hybridoma supernatants. Applied Microbiology and Biotechnology. 104(4). 1583–1594. 3 indexed citations
13.
Huang, Chuncui, Dongbo Bu, Jinyu Zhou, et al.. (2020). Multistage mass spectrometry with intelligent precursor selection for N-glycan branching pattern analysis. Carbohydrate Polymers. 237. 116122–116122. 9 indexed citations
14.
Zhang, Jingwei, Dongbo Bu, Jinyu Zhou, et al.. (2020). Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis. Journal of Proteomics. 217. 103649–103649. 6 indexed citations
15.
Zhou, Jinyu, Huanyu Gao, Wenchun Xie, & Yan Li. (2019). FcγR-binding affinity of monoclonal murine IgG1s carrying different N-linked Fc oligosaccharides. Biochemical and Biophysical Research Communications. 520(1). 8–13. 7 indexed citations
16.
Huang, Chuncui, Shiwei Sun, Jingyu Yan, et al.. (2019). Identification of carbohydrate peripheral epitopes important for recognition by positive-ion MALDI multistage mass spectrometry. Carbohydrate Polymers. 229. 115528–115528. 10 indexed citations
17.
Huang, Chuncui, Jingyu Yan, Lingpeng Zhan, et al.. (2019). Linkage and sequence analysis of neutral oligosaccharides by negative-ion MALDI tandem mass spectrometry with laser-induced dissociation. Analytica Chimica Acta. 1071. 25–35. 14 indexed citations
18.
Ju, Fusong, Jingwei Zhang, Dongbo Bu, et al.. (2019). De novo glycan structural identification from mass spectra using tree merging strategy. Computational Biology and Chemistry. 80. 217–224. 7 indexed citations
19.
Wang, Jiayi, Jinyu Zhou, Yiqiang Chen, et al.. (2019). Rapid one-step enzyme immunoassay and lateral flow immunochromatographic assay for colistin in animal feed and food. Journal of Animal Science and Biotechnology. 10(1). 82–82. 24 indexed citations
20.
Chen, Yiqiang, Qian Chen, Miaomiao Han, et al.. (2016). Development and optimization of a multiplex lateral flow immunoassay for the simultaneous determination of three mycotoxins in corn, rice and peanut. Food Chemistry. 213. 478–484. 115 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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