Zilu Ye

1.9k citations
34 papers · 675 indexed · 1 hit paper · h-index 15
Topics
Glycosylation and Glycoproteins Research (14 papers)Advanced Proteomics Techniques and Applications (10 papers)Epigenetics and DNA Methylation (5 papers)

In The Last Decade

Zilu Ye

30 papers receiving 669 citations

Hit Papers

Enhanced sensitivity and scalability with a Chip-Tip work...2025202620255101520

Peers

Zilu Ye
Comparison fields: 5 of 77
  • Molecular Biology 546
  • Spectroscopy 198
  • Immunology 130
  • Organic Chemistry 113
  • Radiology, Nuclear Medicine and Imaging 75
Replace Suttipong Suttapitugsakul with:
Suttipong Suttapitugsakul United States
Shadi Toghi Eshghi United States
Luísa Silva Portugal
Christopher Ashwood United States
Weiqian Cao China
Crystal Kirmiz United States
Yoshimi Haga Japan
Edward S. X. Moh Australia
Ehwang Song United States
Gerda C. M. Vreeker Netherlands
Zilu Ye relative to Suttipong Suttapitugsakul United States Suttipong Suttapitugsakul's profile →
Citations per field
00.5×1.5×2.0×
Suttipong Suttapitugsakul · 1×
Citations per year

Countries citing papers authored by Zilu Ye

Since Specialization
Citations

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

Fields of papers citing papers by Zilu Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zilu Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Zilu Ye. A scholar is included among the top collaborators of Zilu Ye 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 Zilu Ye. Zilu Ye 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
#WorkIndexed citations
1 17
2 0
3
Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomicsbreakdown →
22
4 6
5 0
6 12
7 1
8 3
9 36
10 9
11 12
12 4
13 7
14 27
15 38
16 22
17 12
18 14
19 52
20 50

About Zilu Ye

Zilu Ye is a scholar working on Spectroscopy, Aging and Molecular Biology, having authored 34 papers that have together received 675 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Advanced Proteomics Techniques and Applications (10 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Spectroscopy (198 citations), Molecular Biology (546 citations) and Immunology (130 citations). Zilu Ye has collaborated with scholars based in Denmark, China and United States. Frequent co-authors include Sergey Y. Vakhrushev, Henrik Clausen, Yang Mao, Jesper V. Olsen, Eric Bennett, Yoshiki Narimatsu, Hiren J. Joshi, Hans H. Wandall, Tanveer S. Batth and Patrick Rüther. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.

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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