Shaofeng Lin

6.2k total citations
27 papers, 1.2k citations indexed

About

Shaofeng Lin is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Shaofeng Lin has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Shaofeng Lin's work include Ubiquitin and proteasome pathways (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Shaofeng Lin is often cited by papers focused on Ubiquitin and proteasome pathways (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Shaofeng Lin collaborates with scholars based in China, United States and India. Shaofeng Lin's co-authors include Yu Xue, Wankun Deng, Ying Zhang, Haodong Xu, Jiaqi Zhou, Di Peng, Chenwei Wang, Yaping Guo, Ying Shi and Yang Xu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Shaofeng Lin

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaofeng Lin China 15 1.0k 136 118 88 81 27 1.2k
Aurelio Pio Nardozza Italy 12 1.2k 1.1× 188 1.4× 85 0.7× 59 0.7× 190 2.3× 18 1.4k
Shankha Satpathy Denmark 13 1.1k 1.1× 220 1.6× 219 1.9× 169 1.9× 169 2.1× 24 1.4k
Danny A. Bitton United Kingdom 19 967 1.0× 55 0.4× 121 1.0× 97 1.1× 68 0.8× 29 1.2k
Martin Frejno Germany 15 925 0.9× 133 1.0× 283 2.4× 129 1.5× 99 1.2× 17 1.3k
Damian Fermin United States 13 889 0.9× 142 1.0× 153 1.3× 155 1.8× 92 1.1× 28 1.3k
David Ochoa United Kingdom 17 1.0k 1.0× 138 1.0× 172 1.5× 88 1.0× 89 1.1× 26 1.3k
Rochelle F. McAdam Canada 2 777 0.8× 67 0.5× 44 0.4× 86 1.0× 55 0.7× 2 935
Shahin Ramazi Iran 8 546 0.5× 79 0.6× 70 0.6× 47 0.5× 66 0.8× 8 770
Robin Haw Canada 17 1.2k 1.2× 82 0.6× 48 0.4× 101 1.1× 73 0.9× 27 1.5k
Anita Palma Italy 9 893 0.9× 61 0.4× 64 0.5× 60 0.7× 68 0.8× 11 1.1k

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-authorship network of co-authors of Shaofeng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaofeng Lin. A scholar is included among the top collaborators of Shaofeng Lin 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 Shaofeng Lin. Shaofeng Lin 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.
Ran, Zhiguang, Min Mu, Shaofeng Lin, et al.. (2025). Deciphering the MHC immunopeptidome of human cancers with Ligand.MHC atlas. Briefings in Bioinformatics. 26(4). 2 indexed citations
2.
Lin, Shaofeng, Chao Tu, Ruifeng Hu, et al.. (2025). Dr. Kinase: predicting the drug-resistance hotspots of protein kinases. Nucleic Acids Research. 53(W1). W258–W265. 2 indexed citations
3.
Zheng, Yu, Haipeng Li, & Shaofeng Lin. (2024). m7GRegpred: substrate prediction of N7-methylguanosine (m7G) writers and readers based on sequencing features. Frontiers in Genetics. 15. 1469011–1469011. 1 indexed citations
4.
Lin, Shaofeng, Kunqi Chen, Ruifeng Hu, et al.. (2024). MetaDegron: multimodal feature-integrated protein language model for predicting E3 ligase targeted degrons. Briefings in Bioinformatics. 25(6). 5 indexed citations
5.
Wang, Chenwei, Xuran Zhuang, Shaofeng Lin, et al.. (2022). PIM1 promotes hepatic conversion by suppressing reprogramming-induced ferroptosis and cell cycle arrest. Nature Communications. 13(1). 5237–5237. 11 indexed citations
6.
Tang, Dachao, Shaofeng Lin, Xiaodan Tan, et al.. (2022). iPCD: A Comprehensive Data Resource of Regulatory Proteins in Programmed Cell Death. Cells. 11(13). 2018–2018. 3 indexed citations
7.
Peng, Di, Chen Ruan, Shanshan Fu, et al.. (2021). Atg9-centered multi-omics integration reveals new autophagy regulators inSaccharomyces cerevisiae. Autophagy. 17(12). 4453–4476. 7 indexed citations
8.
Tan, Wei, Pei Jiang, Wanjun Zhang, et al.. (2021). Posttranscriptional regulation of de novo lipogenesis by glucose-induced O-GlcNAcylation. Molecular Cell. 81(9). 1890–1904.e7. 66 indexed citations
9.
Wang, Chenwei, Xiaodan Tan, Dachao Tang, et al.. (2021). GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sites. Briefings in Bioinformatics. 23(2). 40 indexed citations
10.
Zhang, Weizhi, Xiaodan Tan, Shaofeng Lin, et al.. (2021). CPLM 4.0: an updated database with rich annotations for protein lysine modifications. Nucleic Acids Research. 50(D1). D451–D459. 50 indexed citations
11.
Guo, Yaping, Wanshan Ning, Peiran Jiang, et al.. (2020). GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains. Cells. 9(5). 1266–1266. 14 indexed citations
12.
Peng, Di, Huiqin Li, Li Chen, et al.. (2020). PTMsnp: A Web Server for the Identification of Driver Mutations That Affect Protein Post-translational Modification. Frontiers in Cell and Developmental Biology. 8. 593661–593661. 10 indexed citations
13.
Wang, Chenwei, Shaofeng Lin, Ying Zhang, et al.. (2020). Integrated omics in Drosophila uncover a circadian kinome. Nature Communications. 11(1). 2710–2710. 24 indexed citations
14.
Shi, Ying, Ying Zhang, Shaofeng Lin, et al.. (2020). dbPSP 2.0, an updated database of protein phosphorylation sites in prokaryotes. Scientific Data. 7(1). 164–164. 25 indexed citations
15.
Xu, Haodong, Yongbo Wang, Shaofeng Lin, et al.. (2018). PTMD: A Database of Human Disease-Associated Post-Translational Modifications. Genomics Proteomics & Bioinformatics. 16(4). 244–251. 141 indexed citations
16.
Xu, Haodong, Jiaqi Zhou, Shaofeng Lin, et al.. (2017). PLMD: An updated data resource of protein lysine modifications. Journal of genetics and genomics. 44(5). 243–250. 181 indexed citations
17.
Zhou, Jiaqi, Yang Xu, Shaofeng Lin, et al.. (2017). iUUCD 2.0: an update with rich annotations for ubiquitin and ubiquitin-like conjugations. Nucleic Acids Research. 46(D1). D447–D453. 77 indexed citations
18.
Ullah, Shahid, Shaofeng Lin, Yang Xu, et al.. (2016). dbPAF: an integrative database of protein phosphorylation in animals and fungi. Scientific Reports. 6(1). 23534–23534. 63 indexed citations
19.
Xu, Yang, Shuang Zhang, Shaofeng Lin, et al.. (2016). OUP accepted manuscript. Nucleic Acids Research. 45(D1). D264–D270. 64 indexed citations
20.
Lin, Shaofeng & Hongjian Zhang. (2004). A new method for nondestructively measuring pressure based on the Rayleigh wave. 7. 2332–2336. 5 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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