Shujia Dai

1.6k total citations
29 papers, 1.1k citations indexed

About

Shujia Dai is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Shujia Dai has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Spectroscopy. Recurrent topics in Shujia Dai's work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Shujia Dai is often cited by papers focused on Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Shujia Dai collaborates with scholars based in United States, China and France. Shujia Dai's co-authors include Barry L. Karger, Zhaohui Sunny Zhou, Shiaw‐Lin Wu, William S. Hancock, Tianzhu Zang, Qiaozhen Lu, Haitao Jiang, Bobby W.K. Lee, Yun Cai and Yangjun Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Analytical Chemistry.

In The Last Decade

Shujia Dai

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujia Dai United States 18 689 289 186 138 137 29 1.1k
Melanie Y. White Australia 20 787 1.1× 315 1.1× 104 0.6× 95 0.7× 66 0.5× 39 1.3k
Sheng Gu United States 18 935 1.4× 319 1.1× 160 0.9× 121 0.9× 147 1.1× 25 1.2k
Tyler J. Stewart United States 7 1.2k 1.7× 136 0.5× 386 2.1× 104 0.8× 176 1.3× 9 1.6k
Ganglong Yang China 18 878 1.3× 161 0.6× 265 1.4× 100 0.7× 122 0.9× 57 1.1k
Petr Pompach Czechia 22 945 1.4× 341 1.2× 207 1.1× 75 0.5× 132 1.0× 60 1.3k
Theodore R. Sana United States 17 587 0.9× 182 0.6× 358 1.9× 108 0.8× 78 0.6× 24 1.1k
Wei Mi China 15 890 1.3× 219 0.8× 88 0.5× 144 1.0× 42 0.3× 54 1.3k
Toshitaka Koga Japan 21 662 1.0× 78 0.3× 189 1.0× 108 0.8× 40 0.3× 57 1.2k
Allen W. Tsang United States 19 668 1.0× 55 0.2× 116 0.6× 114 0.8× 28 0.2× 27 1.1k
Luc Guerrier France 21 1.1k 1.6× 837 2.9× 59 0.3× 96 0.7× 355 2.6× 33 1.8k

Countries citing papers authored by Shujia Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shujia Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujia Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shujia Dai. A scholar is included among the top collaborators of Shujia Dai 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 Shujia Dai. Shujia Dai 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.
Darricarrère, Nicole, Yu Qiu, Masaru Kanekiyo, et al.. (2021). Broad neutralization of H1 and H3 viruses by adjuvanted influenza HA stem vaccines in nonhuman primates. Science Translational Medicine. 13(583). 46 indexed citations
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Gupta, Dipti, Samuel Lessard, Shujia Dai, et al.. (2020). Genetic Silencing of KEAP1 Induces NRF2 Mediated Oxidative Stress Pathway in Human Erythroid Cells. Blood. 136(Supplement 1). 8–9. 1 indexed citations
4.
Gao, Yuanwei, Somak Ray, Shujia Dai, et al.. (2016). Combined metabolomics and proteomics reveals hypoxia as a cause of lower productivity on scale‐up to a 5000‐liter CHO bioprocess. Biotechnology Journal. 11(9). 1190–1200. 59 indexed citations
5.
Zang, Tianzhu, Diane E. Handy, Joseph Loscalzo, et al.. (2016). Comparison of Protein N-Homocysteinylation in Rat Plasma under Elevated Homocysteine Using a Specific Chemical Labeling Method. Molecules. 21(9). 1195–1195. 6 indexed citations
6.
Deng, Guoping, Yasuhiro Nagai, Yan Xiao, et al.. (2015). Pim-2 Kinase Influences Regulatory T Cell Function and Stability by Mediating Foxp3 Protein N-terminal Phosphorylation. Journal of Biological Chemistry. 290(33). 20211–20220. 65 indexed citations
7.
Hatfield, Stephen, Jørgen Kjaergäard, Dmitriy Lukashev, et al.. (2014). Systemic oxygenation weakens the hypoxia and hypoxia inducible factor 1α-dependent and extracellular adenosine-mediated tumor protection. Journal of Molecular Medicine. 92(12). 1283–1292. 165 indexed citations
8.
Panikov, Nicolai, Manolis Mandalakis, Shujia Dai, et al.. (2014). Near‐zero growth kinetics of P seudomonas putida deduced from proteomic analysis. Environmental Microbiology. 17(1). 215–228. 12 indexed citations
9.
Mandalakis, Manolis, Nicolai Panikov, Shujia Dai, Somak Ray, & Barry L. Karger. (2013). Comparative proteomic analysis reveals mechanistic insights into Pseudomonas putida F1 growth on benzoate and citrate. AMB Express. 3(1). 64–64. 14 indexed citations
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Jia, Yifeng, Shiaw‐Lin Wu, Jeff S. Isenberg, et al.. (2009). Thiolutin inhibits endothelial cell adhesion by perturbing Hsp27 interactions with components of the actin and intermediate filament cytoskeleton. Cell Stress and Chaperones. 15(2). 165–181. 35 indexed citations
13.
Lazarev, Alexander, Tomáš Rejtar, Shujia Dai, & Barry L. Karger. (2009). Centrifugal methods and devices for rapid in‐gel digestion of proteins. Electrophoresis. 30(6). 966–973. 11 indexed citations
14.
Zang, Tianzhu, Bobby W.K. Lee, Lisa Cannon, et al.. (2009). A naturally occurring brominated furanone covalently modifies and inactivates LuxS. Bioorganic & Medicinal Chemistry Letters. 19(21). 6200–6204. 98 indexed citations
15.
Zang, Tianzhu, Shujia Dai, Dajun Chen, et al.. (2009). Chemical Methods for the Detection of Protein N-Homocysteinylation via Selective Reactions with Aldehydes. Analytical Chemistry. 81(21). 9065–9071. 31 indexed citations
16.
Dai, Shujia, Yifeng Jia, Shiaw‐Lin Wu, et al.. (2008). Comprehensive Characterization of Heat Shock Protein 27 Phosphorylation in Human Endothelial Cells Stimulated by the Microbial Dithiole Thiolutin. Journal of Proteome Research. 7(10). 4384–4395. 23 indexed citations
17.
Wu, Shiaw‐Lin, Haitao Jiang, Qiaozhen Lu, et al.. (2008). Mass Spectrometric Determination of Disulfide Linkages in Recombinant Therapeutic Proteins Using Online LC−MS with Electron-Transfer Dissociation. Analytical Chemistry. 81(1). 112–122. 100 indexed citations
18.
Wang, Qingqing, Xiaoshuang Li, Shujia Dai, et al.. (2008). Quantification of puerarin in plasma by on-line solid-phase extraction column switching liquid chromatography–tandem mass spectrometry and its applications to a pharmacokinetic study. Journal of Chromatography B. 863(1). 55–63. 26 indexed citations
19.
Zvonok, Nikolai, Suma Yaddanapudi, John S. Williams, et al.. (2007). Comprehensive Proteomic Mass Spectrometric Characterization of Human Cannabinoid CB2 Receptor. Journal of Proteome Research. 6(6). 2068–2079. 21 indexed citations
20.
Dai, Shujia, Haifeng Song, Guifang Dou, et al.. (2005). Quantification of sifuvirtide in monkey plasma by an on‐line solid‐phase extraction procedure combined with liquid chromatography/electrospray ionization tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 19(10). 1273–1282. 24 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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