Shisheng Sun

4.3k total citations
83 papers, 2.3k citations indexed

About

Shisheng Sun is a scholar working on Molecular Biology, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Shisheng Sun has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 20 papers in Organic Chemistry and 20 papers in Spectroscopy. Recurrent topics in Shisheng Sun's work include Glycosylation and Glycoproteins Research (61 papers), Carbohydrate Chemistry and Synthesis (20 papers) and Advanced Proteomics Techniques and Applications (19 papers). Shisheng Sun is often cited by papers focused on Glycosylation and Glycoproteins Research (61 papers), Carbohydrate Chemistry and Synthesis (20 papers) and Advanced Proteomics Techniques and Applications (19 papers). Shisheng Sun collaborates with scholars based in China, United States and Czechia. Shisheng Sun's co-authors include Hui Zhang, Weiming Yang, Punit Shah, Yingwei Hu, Shadi Toghi Eshghi, Shuang Yang, Zheng Li, Bojing Zhu, Wentian Chen and Liuyi Dang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Biotechnology.

In The Last Decade

Shisheng Sun

78 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shisheng Sun China 30 1.7k 632 429 368 273 83 2.3k
Jun‐ichi Furukawa Japan 28 2.4k 1.4× 365 0.6× 419 1.0× 777 2.1× 347 1.3× 115 2.9k
Jodie L. Abrahams Australia 21 1.5k 0.9× 304 0.5× 408 1.0× 466 1.3× 401 1.5× 32 1.9k
Yoshiki Narimatsu Denmark 29 2.2k 1.3× 196 0.3× 762 1.8× 626 1.7× 312 1.1× 60 2.8k
Dorota Zielińska Poland 11 1.5k 0.8× 669 1.1× 183 0.4× 182 0.5× 140 0.5× 37 1.9k
Harald S. Conradt Germany 37 2.3k 1.3× 186 0.3× 533 1.2× 463 1.3× 471 1.7× 72 3.2k
Hiroaki Nakagawa Japan 31 1.9k 1.1× 579 0.9× 390 0.9× 674 1.8× 432 1.6× 98 2.5k
Jennifer J. Kohler United States 28 2.3k 1.3× 184 0.3× 430 1.0× 1.1k 3.1× 395 1.4× 78 2.8k
Akihiko Kameyama Japan 33 2.4k 1.4× 285 0.5× 594 1.4× 1.2k 3.2× 284 1.0× 93 3.1k
R.B. Parekh United Kingdom 14 2.0k 1.1× 220 0.3× 742 1.7× 685 1.9× 614 2.2× 18 2.6k
Kazuaki Ohtsubo Japan 24 3.5k 2.0× 386 0.6× 1.4k 3.2× 1.1k 3.0× 461 1.7× 41 4.3k

Countries citing papers authored by Shisheng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shisheng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shisheng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Shisheng Sun. A scholar is included among the top collaborators of Shisheng Sun 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 Shisheng Sun. Shisheng Sun 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.
Wu, Yongqi, Zhi‐Da Zhang, Yong‐Chao Xu, et al.. (2025). A high-resolution N-glycoproteome landscape of aging mouse ovary. Redox Biology. 81. 103584–103584. 3 indexed citations
2.
3.
Zhang, Yuting, et al.. (2025). Chinese cabbage orphan gene BR3 confers bolting resistance to Arabidopsis through the gibberellin pathway. Frontiers in Plant Science. 15. 1518962–1518962. 2 indexed citations
4.
5.
Liu, Didi, et al.. (2024). High-abundance serum glycoproteins as valuable resources for glycopeptide standards. Carbohydrate Polymers. 347. 122746–122746.
6.
Li, Xiangbo, Liuyi Dang, Ding Li, et al.. (2024). Transdermal characteristic study of bovine sialoglycoproteins with anti‐skin aging and accelerating skin wound healing. Journal of Cosmetic Dermatology. 23(12). 4239–4248.
7.
Liu, Didi, Ting Zhao, Zhehui Jin, et al.. (2024). Site-specific N-glycan alterations on haptoglobin as potential biomarkers for distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma. International Journal of Biological Macromolecules. 280(Pt 1). 135563–135563. 3 indexed citations
8.
Zhu, Qiang, Jiechen Shen, Yating Liu, et al.. (2024). Chemoenzymatic Labeling, Detection and Profiling of Core Fucosylation in Live Cells. Journal of the American Chemical Society. 146(38). 26408–26415. 1 indexed citations
9.
Dang, Liuyi, Pengfei Li, Huanhuan Liu, et al.. (2023). Glycoproteomic analysis of regulatory effects of bisecting N-glycans on N-glycan biosynthesis and protein expressions in human HK-2 cells. Carbohydrate Research. 531. 108894–108894. 1 indexed citations
10.
Li, Cheng, Pengfei Li, Miaomiao Xin, et al.. (2023). Site-specific N-glycan changes during semen liquefaction. Analytical Biochemistry. 680. 115318–115318. 2 indexed citations
11.
Shen, Jiechen, Zexuan Chen, & Shisheng Sun. (2022). Identifying intact <i>N</i>-glycopeptides from tandem mass spectrometry data using StrucGP. Biophysics Reports. 8(5-6). 282–300. 3 indexed citations
12.
Li, Xiaolu, Qian Feng, Ting Zhao, et al.. (2020). A water-soluble and incubate-free fluorescent environment-sensitive probe for ultrafast visualization of protein thiols within living cells. Analytica Chimica Acta. 1126. 72–81. 14 indexed citations
13.
Hristova, Ventzislava A., Shisheng Sun, Hui Zhang, & Daniel W. Chan. (2020). Proteomic analysis of degradation ubiquitin signaling by ubiquitin occupancy changes responding to 26S proteasome inhibition. Clinical Proteomics. 17(1). 2–2. 10 indexed citations
14.
Li, Jia, Zhifang Hao, Yintai Xu, et al.. (2020). Site-Specific N-Glycoproteomic Analysis Reveals Upregulated Sialylation and Core Fucosylation during Transient Regeneration Loss in Neonatal Mouse Hearts. Journal of Proteome Research. 19(8). 3191–3200. 13 indexed citations
15.
Zhao, Ting, Jia Li, Chen Ma, et al.. (2020). Heterogeneities of Site-Specific N-Glycosylation in HCC Tumors With Low and High AFP Concentrations. Frontiers in Oncology. 10. 496–496. 45 indexed citations
16.
Sun, Shisheng, Yingwei Hu, Minghui Ao, et al.. (2019). N-GlycositeAtlas: a database resource for mass spectrometry-based human N-linked glycoprotein and glycosylation site mapping. Clinical Proteomics. 16(1). 35–35. 73 indexed citations
17.
Sun, Shisheng, et al.. (2015). Large-Scale Measurement of Absolute Protein Glycosylation Stoichiometry. Analytical Chemistry. 87(13). 6479–6482. 24 indexed citations
18.
Sun, Shisheng, Punit Shah, Shadi Toghi Eshghi, et al.. (2015). Comprehensive analysis of protein glycosylation by solid-phase extraction of N-linked glycans and glycosite-containing peptides. Nature Biotechnology. 34(1). 84–88. 182 indexed citations
19.
Yang, Weiming, Jian-Ying Zhou, Li Chen, et al.. (2014). Glycoproteomic analysis identifies human glycoproteins secreted from HIV latently infected T cells and reveals their presence in HIV+ plasma. Clinical Proteomics. 11(1). 9–9. 19 indexed citations
20.
Yang, Weiming, Oliver Laeyendecker, Sarah K. Wendel, et al.. (2014). Glycoproteomic Study Reveals Altered Plasma Proteins Associated with HIV Elite Suppressors. Theranostics. 4(12). 1153–1163. 13 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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