Aiying Yu

410 citations
17 papers · 299 · h-index 8

Impact in

  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Glycosylation and Glycoproteins Research
    • Genomics and Phylogenetic Studies

Papers in

    • Glycosylation and Glycoproteins Research 12
    • Advanced Proteomics Techniques and Applications 5
    • Mass Spectrometry Techniques and Applications 4

Aiying Yu

15 papers receiving 297 citations

Peers

Aiying Yu
Comparison fields: 5 of 52
  • Spectroscopy 99
  • Molecular Biology 249
  • Organic Chemistry 86
  • Cell Biology 33
  • Radiology, Nuclear Medicine and Imaging 35
Replace Zdeněk Kukačka with:
Zdeněk Kukačka Czechia
Sakshi Gautam United States
Alexandria K. D’Souza United States
Byeong Gwan Cho United States
Hannes Hinneburg Germany
Anissa W. Wong United States
Merel A. Nessen Netherlands
Duong T. Bui Canada
Zeynep Sumer‐Bayraktar Australia
Julian Saba United States
Aiying Yu relative to Zdeněk Kukačka Czechia Zdeněk Kukačka's profile →
Citations per field
00.5×1.5×2.1×
Zdeněk Kukačka · 1×
Citations per year

Countries citing papers authored by Aiying Yu

Since Specialization
Citations

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

Fields of papers citing papers by Aiying Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aiying Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aiying Yu Line = papers co-authored together Aiying Yu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201875
2 202163
3 202147
4 202131
5 202019
6 202216
7 202215
8 20218
9 20216
10 20215
11 20224
12 20234
13 20233
14 20252
15 20221
16 20220
17 20240

About Aiying Yu

Aiying Yu is a scholar working on Molecular Biology, Spectroscopy, Organic Chemistry, Cell Biology and Surgery, having authored 17 papers that have together received 299 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Advanced Proteomics Techniques and Applications (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic function and diabetes (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Spectroscopy (99 citations), Molecular Biology (249 citations), Organic Chemistry (86 citations), Cell Biology (33 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Aiying Yu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yehia Mechref, Wenjing Peng, Mona Goli, Yifan Huang, Junyao Wang, Jingfu Zhao, Alireza Banazadeh, Cristian D. Gutierrez Reyes, Sakshi Gautam and Byeong Gwan Cho. Their work appears in journals such as Biomolecules, Electrophoresis, The Analyst, Journal of Proteome Research and PROTEOMICS - CLINICAL APPLICATIONS.

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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