Shaofeng Lin

6.2k citations
27 papers · 1.2k · h-index 15

Impact in

    • Machine Learning in Bioinformatics
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
  • Aging top 10%

Papers in

    • Ubiquitin and proteasome pathways 7
    • Protein Degradation and Inhibitors 4
    • Genomics and Phylogenetic Studies 4
    • Glycosylation and Glycoproteins Research 4
    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 4
    • vaccines and immunoinformatics approaches 3
    • Advanced Proteomics Techniques and Applications 4

Shaofeng Lin

26 papers receiving 1.2k citations

Peers

Shaofeng Lin
Comparison fields: 5 of 98
  • Molecular Biology 1.0k
  • Aging 19
  • Spectroscopy 118
  • Cancer Research 88
  • Biochemistry 37
Replace Martin Frejno with:
Martin Frejno Germany
Jonathan Rameseder United States
Kebing Yu United States
Anthony A. High United States
Douglas H. Phanstiel United States
Jessica K. Gagnon United States
Shankha Satpathy Denmark
Elena L. Rudashevskaya Austria
J. Patrick Murphy Canada
Fuxiao Xin United States
Shaofeng Lin relative to Martin Frejno Germany Martin Frejno's profile →
Citations per field
00.5×1.5×
Martin Frejno · 1×
Citations per year

Countries citing papers authored by Shaofeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shaofeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaofeng Lin, 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 Shaofeng Lin Line = papers co-authored together Shaofeng Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020210
2 2017181
3 2018141
4 2019126
5 201777
6 202166
7 201664
8 201663
9 201958
10 202150
11 202140
12 201832
13 202025
14 202024
15 202014
16 202211
17 202010
18 20217
19 20245
20 20045

About Shaofeng Lin

Shaofeng Lin is a scholar working on Molecular Biology, Spectroscopy, Oncology, Epidemiology and Immunology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Phylogenetic Studies (4 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Aging (19 citations), Spectroscopy (118 citations), Cancer Research (88 citations) and Biochemistry (37 citations). Shaofeng Lin has collaborated with scholars based in China, United States and India. Frequent co-authors include Yu Xue, Wankun Deng, Ying Zhang, Haodong Xu, Jiaqi Zhou, Di Peng, Chenwei Wang, Yaping Guo, Ying Shi and Yang Xu. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Cells, Nature Communications and Genomics Proteomics & Bioinformatics.

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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