Weiming Yang

3.1k total citations
60 papers, 1.8k citations indexed

About

Weiming Yang is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Weiming Yang has authored 60 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Organic Chemistry. Recurrent topics in Weiming Yang's work include Glycosylation and Glycoproteins Research (25 papers), Carbohydrate Chemistry and Synthesis (9 papers) and HIV Research and Treatment (9 papers). Weiming Yang is often cited by papers focused on Glycosylation and Glycoproteins Research (25 papers), Carbohydrate Chemistry and Synthesis (9 papers) and HIV Research and Treatment (9 papers). Weiming Yang collaborates with scholars based in United States, China and United Kingdom. Weiming Yang's co-authors include Hui Zhang, Shisheng Sun, Punit Shah, Shadi Toghi Eshghi, Yingwei Hu, Shuang Yang, Minghui Ao, Naseruddin Höti, Xingde Li and Hui Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Weiming Yang

59 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Yang United States 25 1.4k 550 312 232 223 60 1.8k
Scott Kronewitter United States 14 967 0.7× 335 0.6× 283 0.9× 169 0.7× 131 0.6× 20 1.2k
Maria Lorna A. De Leoz United States 14 926 0.7× 263 0.5× 272 0.9× 165 0.7× 118 0.5× 14 1.4k
Hanjie Yu China 20 923 0.7× 116 0.2× 152 0.5× 360 1.6× 99 0.4× 82 1.4k
Baoyun Xia United States 22 1.9k 1.3× 145 0.3× 722 2.3× 852 3.7× 273 1.2× 34 2.5k
Pin‐Nan Cheng Taiwan 23 712 0.5× 172 0.3× 253 0.8× 78 0.3× 56 0.3× 96 2.0k
David J. Hammond United States 22 1.1k 0.8× 235 0.4× 87 0.3× 118 0.5× 259 1.2× 46 1.7k
Michael Hornsby United States 16 795 0.6× 49 0.1× 384 1.2× 155 0.7× 162 0.7× 18 1.4k
Gary Woodnutt United States 21 1.1k 0.8× 110 0.2× 49 0.2× 167 0.7× 99 0.4× 45 1.9k
Theodore A.W. Koerner United States 24 764 0.6× 122 0.2× 408 1.3× 151 0.7× 73 0.3× 59 1.7k

Countries citing papers authored by Weiming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Yang. A scholar is included among the top collaborators of Weiming 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 Weiming Yang. Weiming 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
2.
Yang, Cheng, Jie Zhang, Yuchen Han, et al.. (2024). EHMT2-mediated transcriptional reprogramming drives neuroendocrine transformation in non–small cell lung cancer. Proceedings of the National Academy of Sciences. 121(23). e2317790121–e2317790121. 11 indexed citations
3.
Hassan, Sergio A., et al.. (2024). An unusual dual sugar-binding lectin domain controls the substrate specificity of a mucin-type O-glycosyltransferase. Science Advances. 10(9). eadj8829–eadj8829. 10 indexed citations
4.
Yang, Yuan, Yidong Wang, Jiwei Gao, et al.. (2024). The regulatory relationship between NAMPT and PD-L1 in cancer and identification of a dual-targeting inhibitor. EMBO Molecular Medicine. 16(4). 885–903. 5 indexed citations
5.
Yang, Weiming, et al.. (2024). In vivo mapping of the mouse Galnt3-specific O-glycoproteome. Journal of Biological Chemistry. 300(9). 107628–107628. 4 indexed citations
6.
Upadhyay, Chitra, P. S. Rao, Mohammad Amin Behzadi, et al.. (2024). Signal peptide exchange alters HIV-1 envelope antigenicity and immunogenicity. Frontiers in Immunology. 15. 1476924–1476924. 2 indexed citations
7.
Han, Mei, Xiaoxuan Wang, Weiming Yang, et al.. (2023). Gain-of-function mutations in the catalytic domain of DOT1L promote lung cancer malignant phenotypes via the MAPK/ERK signaling pathway. Science Advances. 9(22). eadc9273–eadc9273. 12 indexed citations
8.
Sengupta, Srona, AeRyon Kim, Tatiana Boronina, et al.. (2023). A cell-free antigen processing system informs HIV-1 epitope selection and vaccine design. The Journal of Experimental Medicine. 220(7). 3 indexed citations
9.
Cao, Liwei, T. Mamie Lih, Yingwei Hu, et al.. (2022). Characterization of core fucosylation via sequential enzymatic treatments of intact glycopeptides and mass spectrometry analysis. Nature Communications. 13(1). 3910–3910. 28 indexed citations
10.
Oldoni, Federico, Antoine Rimbert, E Tian, et al.. (2022). A novel role for GalNAc-T2 dependent glycosylation in energy homeostasis. Molecular Metabolism. 60. 101472–101472. 7 indexed citations
11.
Yang, Weiming, et al.. (2020). Large-scale site-specific mapping of the O-GalNAc glycoproteome. Nature Protocols. 15(8). 2589–2610. 36 indexed citations
12.
Zhou, Yangying, Weiming Yang, Minghui Ao, et al.. (2020). Proteomic Analysis of the Air-Way Fluid in Lung Cancer. Detection of Periostin in Bronchoalveolar Lavage (BAL). Frontiers in Oncology. 10. 1072–1072. 9 indexed citations
13.
Sun, Shisheng, Yingwei Hu, Minghui Ao, et al.. (2019). N-GlycositeAtlas: a database resource for mass spectrometry-based human N-linked glycoprotein and glycosylation site mapping. Clinical Proteomics. 16(1). 35–35. 73 indexed citations
14.
Upadhyay, Chitra, et al.. (2018). Alterations of HIV-1 envelope phenotype and antibody-mediated neutralization by signal peptide mutations. PLoS Pathogens. 14(1). e1006812–e1006812. 16 indexed citations
15.
Yang, Shuang, Naseruddin Höti, Weiming Yang, et al.. (2017). Simultaneous analyses of N-linked and O-linked glycans of ovarian cancer cells using solid-phase chemoenzymatic method. Clinical Proteomics. 14(1). 3–3. 34 indexed citations
16.
Yan, Zejun, Junhui Jiang, Fan Li, et al.. (2015). Adenovirus-mediated LRIG1 expression enhances the chemosensitivity of bladder cancer cells to cisplatin. Oncology Reports. 33(4). 1791–1798. 10 indexed citations
17.
Yang, Weiming, et al.. (2014). Fungal invasion of epithelial cells. Microbiological Research. 169(11). 803–810. 54 indexed citations
18.
Yang, Weiming, Jian-Ying Zhou, Li Chen, et al.. (2014). Glycoproteomic analysis identifies human glycoproteins secreted from HIV latently infected T cells and reveals their presence in HIV+ plasma. Clinical Proteomics. 11(1). 9–9. 19 indexed citations
19.
Yang, Weiming, Oliver Laeyendecker, Sarah K. Wendel, et al.. (2014). Glycoproteomic Study Reveals Altered Plasma Proteins Associated with HIV Elite Suppressors. Theranostics. 4(12). 1153–1163. 13 indexed citations
20.
Song, Xiaodong, Zhangqun Ye, Siwei Zhou, et al.. (2007). The application of 5-aminolevulinic acid-induced fluorescence for cystoscopic diagnosis and treatment of bladder carcinoma. Photodiagnosis and Photodynamic Therapy. 4(1). 39–43. 6 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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