Sujun Li

959 total citations
33 papers, 537 citations indexed

About

Sujun Li is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Sujun Li has authored 33 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Sujun Li's work include Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Mass Spectrometry Techniques and Applications (8 papers). Sujun Li is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Mass Spectrometry Techniques and Applications (8 papers). Sujun Li collaborates with scholars based in United States, China and United Kingdom. Sujun Li's co-authors include Haixu Tang, Yuzhen Ye, Kaiyuan Liu, Yu‐Dong Cai, Yixue Li, Predrag Radivojac, Randy J. Arnold, Rong Zeng, Lei Wang and James P. Reilly and has published in prestigious journals such as Nature Communications, Bioinformatics and Analytical Chemistry.

In The Last Decade

Sujun Li

30 papers receiving 526 citations

Peers

Sujun Li
Sujun Li
Citations per year, relative to Sujun Li Sujun Li (= 1×) peers Veronika Vidová

Countries citing papers authored by Sujun Li

Since Specialization
Citations

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

Fields of papers citing papers by Sujun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sujun Li. A scholar is included among the top collaborators of Sujun Li 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 Sujun Li. Sujun Li 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.
Wang, Kai, et al.. (2025). Impact resistance and life prediction of UHPC-based functional gradient concrete for wet joints. Construction and Building Materials. 481. 141513–141513. 1 indexed citations
2.
Ren, Zhizhong, Yaqin Wang, Ying Liu, et al.. (2024). Impact of Microparticle Transarterial Chemoembolization (mTACE) on myeloid‐derived suppressor cell subtypes in hepatocellular carcinoma: Clinical correlations and therapeutic implications. Immunity Inflammation and Disease. 12(9). e70007–e70007. 3 indexed citations
3.
Liu, Kaiyuan, Yuzhen Ye, Sujun Li, & Haixu Tang. (2023). Accurate de novo peptide sequencing using fully convolutional neural networks. Nature Communications. 14(1). 7974–7974. 33 indexed citations
4.
Misal, Santosh A., Sujun Li, Jonathan A. Karty, et al.. (2023). Non-Specific Signal Peptidase Processing of Extracellular Proteins in Staphylococcus aureus N315. Proteomes. 11(1). 8–8. 1 indexed citations
5.
Hong, Yuhui, Sujun Li, Christopher J. Welch, et al.. (2023). 3DMolMS: prediction of tandem mass spectra from 3D molecular conformations. Bioinformatics. 39(6). 14 indexed citations
6.
Lu, Zheng‐Rong, et al.. (2023). Apigenin attenuates atherosclerosis and non-alcoholic fatty liver disease through inhibition of NLRP3 inflammasome in mice. Scientific Reports. 13(1). 7996–7996. 22 indexed citations
8.
Li, Sujun, Siqi Wu, Michael Imboden, et al.. (2020). Nr2e3 is a genetic modifier that rescues retinal degeneration and promotes homeostasis in multiple models of retinitis pigmentosa. Gene Therapy. 28(5). 223–241. 45 indexed citations
9.
Liu, Kaiyuan, Sujun Li, Lei Wang, Yuzhen Ye, & Haixu Tang. (2020). Full-Spectrum Prediction of Peptides Tandem Mass Spectra using Deep Neural Network. Analytical Chemistry. 92(6). 4275–4283. 48 indexed citations
10.
Li, Sujun, Haixu Tang, & Yuzhen Ye. (2019). A Meta-proteogenomic Approach to Peptide Identification Incorporating Assembly Uncertainty and Genomic Variation. Molecular & Cellular Proteomics. 18(8). S183–S192. 10 indexed citations
11.
Li, Tianyi, Hua Li, Weifang Li, et al.. (2019). Interleukin-37 sensitize the elderly type 2 diabetic patients to insulin therapy through suppressing the gut microbiota dysbiosis. Molecular Immunology. 112. 322–329. 24 indexed citations
12.
Li, Sujun, Fang Liang, Kevin Kwan, et al.. (2018). Identification of ethyl pyruvate as a NLRP3 inflammasome inhibitor that preserves mitochondrial integrity. Molecular Medicine. 24(1). 8–8. 42 indexed citations
13.
Gawronski, Alexander, Faraz Hach, Sujun Li, et al.. (2017). Computational identification of micro-structural variations and their proteogenomic consequences in cancer. Bioinformatics. 34(10). 1672–1681. 8 indexed citations
14.
Li, Sujun, Nuno Bandeira, Xiaofeng Wang, & Haixu Tang. (2016). On the privacy risks of sharing clinical proteomics data.. PubMed Central. 2016. 122–31. 7 indexed citations
15.
Tang, Haixu, Sujun Li, & Yuzhen Ye. (2016). A Graph-Centric Approach for Metagenome-Guided Peptide and Protein Identification in Metaproteomics. PLoS Computational Biology. 12(12). e1005224–e1005224. 30 indexed citations
16.
Li, Sujun, et al.. (2016). Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics. Journal of Proteome Research. 15(10). 3656–3665. 8 indexed citations
17.
Li, Sujun, Randy J. Arnold, Haixu Tang, & Predrag Radivojac. (2013). Improving phosphopeptide identification in shotgun proteomics by supervised filtering of peptide-spectrum matches. 316–323. 3 indexed citations
18.
Li, Sujun, et al.. (2007). Predicting Protein N-glycosylation by Combining Functional Domain and Secretion Information. Journal of Biomolecular Structure and Dynamics. 25(1). 49–54. 12 indexed citations
19.
Li, Sujun, et al.. (2007). Predicting the protein SUMO modification sites based on Properties Sequential Forward Selection (PSFS). Biochemical and Biophysical Research Communications. 358(1). 136–139. 26 indexed citations
20.
Li, Sujun, et al.. (2006). Predicting O-glycosylation sites in mammalian proteins by using SVMs. Computational Biology and Chemistry. 30(3). 203–208. 60 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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