Yingwei Hu

7.3k total citations
71 papers, 1.9k citations indexed

About

Yingwei Hu is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Yingwei Hu has authored 71 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 19 papers in Spectroscopy and 15 papers in Oncology. Recurrent topics in Yingwei Hu's work include Glycosylation and Glycoproteins Research (26 papers), Advanced Proteomics Techniques and Applications (17 papers) and Mass Spectrometry Techniques and Applications (8 papers). Yingwei Hu is often cited by papers focused on Glycosylation and Glycoproteins Research (26 papers), Advanced Proteomics Techniques and Applications (17 papers) and Mass Spectrometry Techniques and Applications (8 papers). Yingwei Hu collaborates with scholars based in United States, China and Hong Kong. Yingwei Hu's co-authors include Hui Zhang, Punit Shah, Weiming Yang, Shisheng Sun, Minghui Ao, David Clark, Henry Lam, Michael Schnaubelt, Shuang Yang and Qing Kay Li and has published in prestigious journals such as Nature Communications, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Yingwei Hu

65 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
Yingwei Hu United States 26 1.4k 463 255 232 224 71 1.9k
Roberta Frapolli Italy 27 1.0k 0.7× 147 0.3× 224 0.9× 647 2.8× 99 0.4× 85 2.3k
Hélène Diemer France 25 938 0.7× 361 0.8× 232 0.9× 178 0.8× 53 0.2× 59 1.7k
Nan-Haw Chow Taiwan 27 1.4k 1.0× 381 0.8× 218 0.9× 507 2.2× 50 0.2× 69 2.4k
Taoufik Ouatas United States 23 866 0.6× 64 0.1× 183 0.7× 337 1.5× 89 0.4× 38 1.8k
Anthony J. Leathem United Kingdom 25 944 0.7× 86 0.2× 431 1.7× 285 1.2× 140 0.6× 53 1.7k
Ling Fu China 19 917 0.7× 98 0.2× 174 0.7× 120 0.5× 182 0.8× 31 1.7k
Kojiro Matsumoto Japan 27 1.3k 0.9× 83 0.2× 641 2.5× 139 0.6× 128 0.6× 81 2.1k
Colin Stubberfield United Kingdom 19 749 0.5× 58 0.1× 199 0.8× 419 1.8× 284 1.3× 30 1.4k
Matthew J. McKay Australia 23 606 0.4× 292 0.6× 80 0.3× 110 0.5× 86 0.4× 55 1.2k

Countries citing papers authored by Yingwei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yingwei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingwei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingwei Hu. A scholar is included among the top collaborators of Yingwei Hu 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 Yingwei Hu. Yingwei Hu 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.
Liu, Hongyi, Lijun Chen, Yingwei Hu, et al.. (2025). New Method Enhanced Extraction of Protein Signatures of Renal Cell Carcinoma from Proteomics Data. Journal of Proteome Research. 24(11). 5710–5726.
2.
Hu, Yingwei, et al.. (2025). From identification to quantification: A step-by-step workflow for intact glycopeptide analysis by mass spectrometry. Analytica Chimica Acta. 1383. 344909–344909.
3.
Lu, Zhong‐Yuan, Shiqi Guo, Ting Xiao, et al.. (2024). Deep eutectic solvent self-assembled reverse nanomicelles for transdermal delivery of sparingly soluble drugs. Journal of Nanobiotechnology. 22(1). 272–272. 10 indexed citations
4.
Shen, Lin, Min Wu, Pingping Chen, et al.. (2023). Maintenance regimen of GM‐CSF with rituximab and lenalidomide improves survival in high‐risk B‐cell lymphoma by modulating natural killer cells. Cancer Medicine. 12(12). 12975–12985. 3 indexed citations
5.
6.
Lih, T. Mamie, Kyung-Cho Cho, Michael Schnaubelt, Yingwei Hu, & Hui Zhang. (2023). Integrated glycoproteomic characterization of clear cell renal cell carcinoma. Cell Reports. 42(5). 112409–112409. 18 indexed citations
7.
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
8.
9.
Hu, Yingwei, et al.. (2021). 18F-fluorodeoxyglucose positron emission tomography—based prediction for splenectomy in patients with suspected splenic lymphoma. Annals of Translational Medicine. 9(12). 1009–1009. 6 indexed citations
10.
Li, Xin, Xiaofen Liu, Péter Horvatovich, Yingwei Hu, & Jing Zhang. (2021). Proteomics Landscape of Host-Pathogen Interaction in Acinetobacter baumannii Infected Mouse Lung. Frontiers in Genetics. 12. 563516–563516. 4 indexed citations
11.
Chen, Chun, Jason M. Unrine, Yingwei Hu, et al.. (2020). Responses of soil bacteria and fungal communities to pristine and sulfidized zinc oxide nanoparticles relative to Zn ions. Journal of Hazardous Materials. 405. 124258–124258. 42 indexed citations
12.
Zhou, Yangying, T. Mamie Lih, Jianbo Pan, et al.. (2020). Proteomic signatures of 16 major types of human cancer reveal universal and cancer-type-specific proteins for the identification of potential therapeutic targets. Journal of Hematology & Oncology. 13(1). 170–170. 37 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.
Höti, Naseruddin, Shuang Yang, Yingwei Hu, et al.. (2018). Overexpression of α (1,6) fucosyltransferase in the development of castration-resistant prostate cancer cells. Prostate Cancer and Prostatic Diseases. 21(1). 137–146. 37 indexed citations
15.
Höti, Naseruddin, Shuang Yang, Paul Aiyetan, et al.. (2017). Overexpression of Exportin-5 Overrides the Inhibitory Effect of miRNAs Regulation Control and Stabilize Proteins via Posttranslation Modifications in Prostate Cancer. Neoplasia. 19(10). 817–829. 9 indexed citations
16.
Yang, Shuang, Yingwei Hu, Lori J. Sokoll, & Hui Zhang. (2017). Simultaneous quantification of N- and O-glycans using a solid-phase method. Nature Protocols. 12(6). 1229–1244. 65 indexed citations
17.
Chen, Yan, Jie Sun, Chao Zhao, et al.. (2016). [Epidemiology of febrile neutropenia in patients with hematological disease-a prospective multicentre survey in China].. PubMed. 37(3). 177–82. 22 indexed citations
18.
19.
Liu, Xiaofen, et al.. (2013). Label-Free Quantitative Proteomics Analysis of Antibiotic Response in Staphylococcus aureus to Oxacillin. Journal of Proteome Research. 13(3). 1223–1233. 65 indexed citations
20.
Xia, Lin, et al.. (2012). PC‐PLC is involved in osteoclastogenesis induced by TNF‐α through upregulating IP3R1 expression. FEBS Letters. 586(19). 3341–3348. 10 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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