Deguang Sun

1.8k total citations
39 papers, 1.4k citations indexed

About

Deguang Sun is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Deguang Sun has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Spectroscopy. Recurrent topics in Deguang Sun's work include Advanced Proteomics Techniques and Applications (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Cancer-related molecular mechanisms research (6 papers). Deguang Sun is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Glycosylation and Glycoproteins Research (7 papers) and Cancer-related molecular mechanisms research (6 papers). Deguang Sun collaborates with scholars based in China, United States and South Korea. Deguang Sun's co-authors include Mingliang Ye, Liming Wang, Hanfa Zou, Fangjun Wang, Zhenming Gao, Liming Wang, Rui Chen, Xinning Jiang, Guanghui Han and Kai Cheng and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Deguang Sun

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deguang Sun China 20 1.1k 254 252 223 132 39 1.4k
Huali Shen China 23 907 0.8× 210 0.8× 335 1.3× 149 0.7× 121 0.9× 61 1.4k
Feifei Xu China 24 1.2k 1.1× 352 1.4× 137 0.5× 362 1.6× 152 1.2× 76 1.8k
Salisha Hill United States 16 630 0.6× 145 0.6× 102 0.4× 170 0.8× 92 0.7× 24 939
Stephen A. Whelan United States 21 1.1k 1.1× 123 0.5× 129 0.5× 104 0.5× 149 1.1× 37 1.5k
Olga V. Nemirovskiy United States 23 592 0.6× 142 0.6× 393 1.6× 200 0.9× 127 1.0× 32 1.4k
Ahmed Ali Netherlands 19 858 0.8× 380 1.5× 210 0.8× 315 1.4× 42 0.3× 51 1.6k
Yiding Chen China 21 975 0.9× 526 2.1× 112 0.4× 710 3.2× 75 0.6× 86 2.0k
Tatiana Boronina United States 18 774 0.7× 211 0.8× 101 0.4× 95 0.4× 59 0.4× 33 1.2k
Ronald J. Holewinski United States 22 833 0.8× 138 0.5× 108 0.4× 118 0.5× 72 0.5× 41 1.3k

Countries citing papers authored by Deguang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Deguang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deguang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Deguang Sun. A scholar is included among the top collaborators of Deguang 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 Deguang Sun. Deguang 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.
Chen, Hong, et al.. (2024). Multi-omics pan-cancer study of SPTBN2 and its value as a potential therapeutic target in pancreatic cancer. Scientific Reports. 14(1). 9764–9764. 2 indexed citations
2.
Liu, Xiaoyan, Zheng Fang, Deguang Sun, et al.. (2024). Quantitative Characterization of Protein N-Linked Core-Fucosylation by an Efficient Glycan Truncation Strategy. Analytical Chemistry. 96(26). 10506–10514.
3.
Gao, Zhenming, et al.. (2020). <p>Emodin Protects Against Acute Pancreatitis-Associated Lung Injury by Inhibiting NLPR3 Inflammasome Activation via Nrf2/HO-1 Signaling</p>. Drug Design Development and Therapy. Volume 14. 1971–1982. 64 indexed citations
4.
Tian, Yu, Chengye Wang, Keqiu Jiang, et al.. (2019). CBX2 Regulates Proliferation and Apoptosis via the Phosphorylation of YAP in Hepatocellular Carcinoma. Journal of Cancer. 10(12). 2706–2719. 68 indexed citations
5.
Qin, Hongqiang, Yao Chen, Jiawei Mao, et al.. (2019). Proteomics analysis of site-specific glycoforms by a virtual multistage mass spectrometry method. Analytica Chimica Acta. 1070. 60–68. 18 indexed citations
6.
Qi, Wenjing, et al.. (2019). MiR-3196, a p53-responsive microRNA, functions as a tumor suppressor in hepatocellular carcinoma by targeting FOXP4.. PubMed. 9(12). 2665–2678. 11 indexed citations
7.
Shao, Ping, Chengye Wang, Yu Tian, et al.. (2017). MicroRNA-205-5p regulates the chemotherapeutic resistance of hepatocellular carcinoma cells by targeting PTEN/JNK/ANXA3 pathway.. PubMed. 9(9). 4300–4307. 34 indexed citations
8.
Sun, Deguang, et al.. (2017). Notch1 regulates the JNK signaling pathway and increases apoptosis in hepatocellular carcinoma. Oncotarget. 8(28). 45837–45847. 23 indexed citations
9.
Shao, Ping, Deguang Sun, Liming Wang, Rong Fan, & Zhenming Gao. (2017). Deep sequencing and comprehensive expression analysis identifies several molecules potentially related to human poorly differentiated hepatocellular carcinoma. FEBS Open Bio. 7(11). 1696–1706. 17 indexed citations
10.
Wang, Huan, Qiong Wu, Yunqi Han, et al.. (2017). CT-721, a Potent Bcr-Abl Inhibitor, Exhibits Excellent In Vitro and In Vivo Efficacy in the Treatment of Chronic Myeloid Leukemia. Journal of Cancer. 8(14). 2774–2784. 4 indexed citations
11.
12.
Zhu, Jun, Zhen Sun, Kai Cheng, et al.. (2014). Comprehensive Mapping of Protein N-Glycosylation in Human Liver by Combining Hydrophilic Interaction Chromatography and Hydrazide Chemistry. Journal of Proteome Research. 13(3). 1713–1721. 63 indexed citations
13.
14.
Huang, Junfeng, Hongqiang Qin, Jing Dong, et al.. (2014). In Situ Sample Processing Approach (iSPA) for Comprehensive Quantitative Phosphoproteome Analysis. Journal of Proteome Research. 13(9). 3896–3904. 12 indexed citations
15.
Sun, Deguang, Sunbin Ling, Yu Tian, et al.. (2014). Activated δ-opioid receptors inhibit hydrogen peroxide-induced apoptosis in liver cancer cells through the PKC/ERK signaling pathway. Molecular Medicine Reports. 10(2). 839–847. 19 indexed citations
16.
Yang, Xuejun, Deguang Sun, Yu Tian, Sunbin Ling, & Liming Wang. (2014). Metformin sensitizes hepatocellular carcinoma to arsenic trioxide-induced apoptosis by downregulating Bcl2 expression. Tumor Biology. 36(4). 2957–2964. 27 indexed citations
17.
Bian, Yangyang, Chunxia Song, Kai Cheng, et al.. (2013). An enzyme assisted RP-RPLC approach for in-depth analysis of human liver phosphoproteome. Journal of Proteomics. 96. 253–262. 203 indexed citations
18.
Wang, Liming, Ling Yang, Ming Li, et al.. (2011). Reversible and time-dependent inhibition of CYP3A4-mediated nifedipine oxidation by noscapine. Latin American Journal of Pharmacy. 30(9). 1 indexed citations
19.
Han, Guanghui, Mingliang Ye, Hongwei Liu, et al.. (2010). Phosphoproteome analysis of human liver tissue by long‐gradient nanoflow LC coupled with multiple stage MS analysis. Electrophoresis. 31(6). 1080–1089. 62 indexed citations
20.
Newsome, Philip R.H., et al.. (2001). A survey of Hong Kong dentists’ attitudes towards advertising. International Dental Journal. 51(6). 428–434. 4 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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