Ganglong Yang

1.4k total citations
57 papers, 1.1k citations indexed

About

Ganglong Yang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Ganglong Yang has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Immunology. Recurrent topics in Ganglong Yang's work include Glycosylation and Glycoproteins Research (37 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Galectins and Cancer Biology (17 papers). Ganglong Yang is often cited by papers focused on Glycosylation and Glycoproteins Research (37 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Galectins and Cancer Biology (17 papers). Ganglong Yang collaborates with scholars based in China, United States and Japan. Ganglong Yang's co-authors include Feng Guan, Xiaoman Zhou, Zengqi Tan, Jia Guo, Wei Lü, Morihisa Fujita, Shisheng Sun, Hanjie Yu, Hui Zhang and Xiao‐Dong Gao and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ganglong Yang

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganglong Yang China 18 878 265 161 157 122 57 1.1k
Ana Sofía Carvalho Portugal 19 987 1.1× 339 1.3× 97 0.6× 112 0.7× 105 0.9× 69 1.4k
Mayumi Ishihara United States 18 728 0.8× 185 0.7× 92 0.6× 219 1.4× 105 0.9× 35 1.1k
Tyler J. Stewart United States 7 1.2k 1.3× 386 1.5× 136 0.8× 322 2.1× 176 1.4× 9 1.6k
Stephanie Holst Netherlands 21 1.1k 1.3× 365 1.4× 326 2.0× 290 1.8× 196 1.6× 27 1.3k
Kathrin Stavenhagen Netherlands 21 993 1.1× 358 1.4× 278 1.7× 256 1.6× 296 2.4× 30 1.2k
Liuyi Dang China 15 598 0.7× 222 0.8× 111 0.7× 112 0.7× 50 0.4× 33 805
Guinevere S. M. Lageveen‐Kammeijer Netherlands 19 1.0k 1.2× 294 1.1× 292 1.8× 239 1.5× 263 2.2× 40 1.3k
Matthew R. Kudelka United States 13 933 1.1× 402 1.5× 63 0.4× 310 2.0× 153 1.3× 23 1.1k
Taj S. Mattu United Kingdom 13 883 1.0× 291 1.1× 287 1.8× 274 1.7× 252 2.1× 13 1.2k
Jean‐Claude Michalski France 12 633 0.7× 131 0.5× 127 0.8× 240 1.5× 91 0.7× 15 812

Countries citing papers authored by Ganglong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ganglong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganglong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ganglong Yang. A scholar is included among the top collaborators of Ganglong Yang 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 Ganglong Yang. Ganglong Yang 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.
Kawahara, Rebeca, et al.. (2025). MYO18B promotes lysosomal exocytosis by facilitating focal adhesion maturation. The Journal of Cell Biology. 224(3). 6 indexed citations
2.
Shi, Bowen, Junming Zhao, Yanfeng Jiang, et al.. (2024). Real-Time Detection of Yeast Growth on Solid Medium through Passive Microresonator Biosensor. Biosensors. 14(5). 216–216.
3.
Chen, Jingru, Hanjie Li, Zibo Wang, et al.. (2024). Proteome and Glycoproteome Analyses Reveal Regulation of Protein Glycosylation Site-Specific Occupancy and Lysosomal Hydrolase Maturation by N-Glycan-Dependent ER-Quality Control. Journal of Proteome Research. 23(10). 4409–4421. 5 indexed citations
4.
5.
Yan, Yang, Ganglong Yang, Zijie Li, et al.. (2023). Studies on the Proteinaceous Structure Present on the Surface of the Saccharomyces cerevisiae Spore Wall. Journal of Fungi. 9(4). 392–392. 2 indexed citations
6.
Liu, Yi‐Shi, Xiaoman Zhou, Linpei Zhang, et al.. (2023). Accumulated precursors of specific GPI-anchored proteins upregulate GPI biosynthesis with ARV1. The Journal of Cell Biology. 222(5). 15 indexed citations
7.
Li, Hanjie, et al.. (2023). Expression of a Siglec-Fc Protein and Its Characterization. Biology. 12(4). 574–574. 1 indexed citations
8.
Yi, Huan, Yingjie Song, Qin Huang, et al.. (2022). Nucleotide binding as an allosteric regulatory mechanism for Akkermansia muciniphila β- N -acetylhexosaminidase Am2136. Gut Microbes. 14(1). 2143221–2143221. 2 indexed citations
9.
Wang, Rong, Ganglong Yang, Yanyan Feng, et al.. (2022). N-glycosylation of GDF15 abolishes its inhibitory effect on EGFR in AR inhibitor-resistant prostate cancer cells. Cell Death and Disease. 13(7). 626–626. 16 indexed citations
10.
Yang, Ganglong, Qiong Wang, Lijun Chen, Michael J. Betenbaugh, & Hui Zhang. (2021). Glycoproteomic Characterization of FUT8 Knock-Out CHO Cells Reveals Roles of FUT8 in the Glycosylation. Frontiers in Chemistry. 9. 755238–755238. 11 indexed citations
11.
Zhou, Xiaoman, Chang‐Mei Liu, Ganglong Yang, et al.. (2020). Sialidase NEU1 suppresses progression of human bladder cancer cells by inhibiting fibronectin-integrin α5β1 interaction and Akt signaling pathway. Cell Communication and Signaling. 18(1). 44–44. 46 indexed citations
12.
Chen, Shao‐Yung, Mingming Dong, Ganglong Yang, et al.. (2019). Glycans, Glycosite, and Intact Glycopeptide Analysis of N-Linked Glycoproteins Using Liquid Handling Systems. Analytical Chemistry. 92(2). 1680–1686. 32 indexed citations
13.
Qin, Yannan, et al.. (2019). Increased Sialylation of N- and O-Glycans on Serum Maackia amurensis Lectin II Binding Glycoproteins in Autistic Spectrum Disorder. 8(1). 1–10. 1 indexed citations
14.
Tian, Xiang, Ganglong Yang, Xiaoyu Liu, et al.. (2017). Alteration of N -glycan expression profile and glycan pattern of glycoproteins in human hepatoma cells after HCV infection. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(5). 1036–1045. 27 indexed citations
15.
Li, Xiang, et al.. (2015). Quantitative analysis of glycans, related genes, and proteins in two human bone marrow stromal cell lines using an integrated strategy. Experimental Hematology. 43(9). 760–769.e7. 6 indexed citations
16.
Li, Xiang, et al.. (2015). Ganglioside-magnetosome complex formation enhances uptake of gangliosides by cells. International Journal of Nanomedicine. 10. 6919–6919. 8 indexed citations
17.
Yang, Ganglong, Zhipeng Xu, Wei Lü, et al.. (2015). Quantitative Analysis of Differential Proteome Expression in Bladder Cancer vs. Normal Bladder Cells Using SILAC Method. PLoS ONE. 10(7). e0134727–e0134727. 16 indexed citations
18.
Guan, Feng, et al.. (2015). A lectin-based isolation/enrichment strategy for improved coverage of N-glycan analysis. Carbohydrate Research. 416. 7–13. 17 indexed citations
19.
20.
Sun, Shisheng, et al.. (2010). Isolation of N-linked glycopeptides by hydrazine-functionalized magnetic particles. Analytical and Bioanalytical Chemistry. 396(8). 3071–3078. 30 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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