Weijie Qin

2.5k total citations
97 papers, 1.9k citations indexed

About

Weijie Qin is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Weijie Qin has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 37 papers in Spectroscopy and 18 papers in Oncology. Recurrent topics in Weijie Qin's work include Glycosylation and Glycoproteins Research (34 papers), Advanced Proteomics Techniques and Applications (32 papers) and Advanced biosensing and bioanalysis techniques (24 papers). Weijie Qin is often cited by papers focused on Glycosylation and Glycoproteins Research (34 papers), Advanced Proteomics Techniques and Applications (32 papers) and Advanced biosensing and bioanalysis techniques (24 papers). Weijie Qin collaborates with scholars based in China, United States and Singapore. Weijie Qin's co-authors include Xiaohong Qian, Wanjun Zhang, Lin Yue Lanry Yung, Yangjun Zhang, Xinyuan Zhao, Haihong Bai, Yiting Pan, Wantao Ying, Yuping Xie and Fenglong Jiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Weijie Qin

94 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijie Qin China 27 1.5k 404 347 267 208 97 1.9k
Victor Pui‐Yan United States 26 1.1k 0.7× 258 0.6× 385 1.1× 264 1.0× 55 0.3× 39 2.4k
Jarmila Králová Czechia 28 1.0k 0.7× 126 0.3× 367 1.1× 263 1.0× 206 1.0× 83 2.0k
Mingming Dong China 23 1.2k 0.8× 632 1.6× 240 0.7× 196 0.7× 96 0.5× 75 1.8k
Bowen Li China 29 945 0.6× 316 0.8× 1.1k 3.1× 228 0.9× 201 1.0× 84 2.5k
Matthew S. Tremblay United States 18 564 0.4× 160 0.4× 138 0.4× 154 0.6× 106 0.5× 28 1.8k
Satoru Nagatoishi Japan 26 1.7k 1.1× 141 0.3× 223 0.6× 126 0.5× 76 0.4× 123 2.2k
Yue Yuan China 28 1.1k 0.7× 184 0.5× 915 2.6× 274 1.0× 159 0.8× 86 2.5k
Biliang Zhang China 19 1.2k 0.8× 273 0.7× 145 0.4× 455 1.7× 261 1.3× 38 1.9k
Rakesh Pathak India 27 955 0.6× 543 1.3× 336 1.0× 526 2.0× 135 0.6× 69 2.2k
Yan Guo China 25 1.3k 0.9× 107 0.3× 276 0.8× 252 0.9× 762 3.7× 87 2.3k

Countries citing papers authored by Weijie Qin

Since Specialization
Citations

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

Fields of papers citing papers by Weijie Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijie Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Weijie Qin. A scholar is included among the top collaborators of Weijie Qin 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 Weijie Qin. Weijie Qin 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.
Qin, Weijie, et al.. (2025). Nitrogen-doped carbon achieving the construction of high-loading Pt catalyst and enhancement of fuel cells performance. International Journal of Hydrogen Energy. 103. 205–212. 2 indexed citations
2.
Yang, Bin, Peng Wang, Di Wang, et al.. (2025). Extrinsic scattering induced magnon spin swapping effect in Bi-doped yttrium iron garnet. Physical review. B.. 112(18).
3.
Jiao, Yong‐Chang, et al.. (2024). Comprehensive host cell proteins profiling in biopharmaceuticals by a sensitivity enhanced mass spectrometry strategy using TMT-labeling and signal boosting. Analytica Chimica Acta. 1335. 343445–343445. 1 indexed citations
4.
Li, Jingchao, Bingyi Lin, Liming Wu, et al.. (2024). O-GlcNAcylation of enolase 1 serves as a dual regulator of aerobic glycolysis and immune evasion in colorectal cancer. Proceedings of the National Academy of Sciences. 121(44). e2408354121–e2408354121. 9 indexed citations
5.
Li, Jingchao, Jinqiu Zhang, Jiahui He, et al.. (2024). A Computational and Chemical Design Strategy for Manipulating Glycan‐Protein Recognition. Advanced Science. 11(24). e2308522–e2308522. 2 indexed citations
6.
Li, Mengyao, Jie Li, Jie Li, et al.. (2023). DNA damage-induced YTHDC1 O-GlcNAcylation promotes homologous recombination by enhancing m6A binding. Fundamental Research. 5(2). 868–879. 5 indexed citations
7.
Li, Hang, Yujie Wang, Qi Liu, et al.. (2022). Highly efficient TiO2-based one-step strategy for micro volume plasma-derived extracellular vesicles isolation and multiomics sample preparation. International Journal of Mass Spectrometry. 483. 116971–116971. 5 indexed citations
8.
9.
Tan, Wei, Pei Jiang, Wanjun Zhang, et al.. (2021). Posttranscriptional regulation of de novo lipogenesis by glucose-induced O-GlcNAcylation. Molecular Cell. 81(9). 1890–1904.e7. 66 indexed citations
10.
Li, Lingjun, et al.. (2021). A chemical method for genome- and proteome-wide enrichment and O-GlcNAcylation profiling of chromatin-associated proteins. Talanta. 241. 123167–123167. 6 indexed citations
11.
Liu, Tong, et al.. (2021). An Ultrafast N-Glycoproteome Analysis Method Using Thermoresponsive Magnetic Fluid-Immobilized Enzymes. Frontiers in Chemistry. 9. 676100–676100. 4 indexed citations
12.
Shao, Wei, et al.. (2021). Research progress and application of retention time prediction method based on deep learning. Chinese Journal of Chromatography. 39(3). 211–218. 2 indexed citations
13.
Jiao, Fenglong, Fangyuan Gao, Chaoshuang Xia, et al.. (2020). A facile “one-material” strategy for tandem enrichment of small extracellular vesicles phosphoproteome. Talanta. 223(Pt 2). 121776–121776. 11 indexed citations
14.
Xia, Chaoshuang, Fenglong Jiao, Fangyuan Gao, et al.. (2020). Novel Two-Dimensional MoS2–Ti4+ Nanomaterial for Efficient Enrichment of Phosphopeptides and Large-Scale Identification of Histidine Phosphorylation by Mass Spectrometry. Analytical Chemistry. 92(19). 12801–12808. 20 indexed citations
15.
Liu, Tong, Yunjia Yang, Yunjia Yang, et al.. (2019). A rapid immobilized trypsin digestion combined with liquid chromatography – Tandem mass spectrometry for the detection of milk allergens in baked food. Food Control. 102. 179–187. 27 indexed citations
16.
17.
Bai, Haihong, Chao Fan, Fang Tian, et al.. (2015). Synthesis of core-shell hydrophilic polymer-silica hybrid material and its application in N -glycan enrichment. Chinese Journal of Chromatography. 33(3). 221–221. 1 indexed citations
18.
Shi, Zhaomei, Chao Fan, Junjie Huang, et al.. (2015). Preparation of graphene oxide based immobilized lectin and its application to efficient glycoprotein/glycopeptide enrichment. Chinese Journal of Chromatography. 33(2). 116–116. 2 indexed citations
19.
Zhang, Qinglin, et al.. (2013). Trypsin immobilization on silica beads modified by squamous polymer for ultra fast and highly efficient proteome digestion. Chinese Journal of Chromatography. 30(6). 549–554. 3 indexed citations
20.
Hartono, Deny, Weijie Qin, Kun‐Lin Yang, & Lin‐Yue Lanry Yung. (2008). Imaging the disruption of phospholipid monolayer by protein-coated nanoparticles using ordering transitions of liquid crystals. Biomaterials. 30(5). 843–849. 58 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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