Chengjian Wang

791 total citations
36 papers, 655 citations indexed

About

Chengjian Wang is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Chengjian Wang has authored 36 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 22 papers in Organic Chemistry and 10 papers in Cell Biology. Recurrent topics in Chengjian Wang's work include Glycosylation and Glycoproteins Research (29 papers), Carbohydrate Chemistry and Synthesis (22 papers) and Proteoglycans and glycosaminoglycans research (9 papers). Chengjian Wang is often cited by papers focused on Glycosylation and Glycoproteins Research (29 papers), Carbohydrate Chemistry and Synthesis (22 papers) and Proteoglycans and glycosaminoglycans research (9 papers). Chengjian Wang collaborates with scholars based in China, United States and Australia. Chengjian Wang's co-authors include Zhongfu Wang, Linjuan Huang, Ping Zhang, Wanjun Jin, Jiangbei Yuan, Ming Wei, Lan Zhang, Li Guo, Li Li and Yu Lu and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biochemistry.

In The Last Decade

Chengjian Wang

36 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjian Wang China 15 486 237 157 125 76 36 655
Weston Pimlott Sweden 10 417 0.9× 147 0.6× 63 0.4× 35 0.3× 49 0.6× 18 513
Shigeru Moriyama Japan 13 302 0.6× 26 0.1× 51 0.3× 82 0.7× 16 0.2× 38 502
Toshihiko Kitajima Japan 13 280 0.6× 110 0.5× 15 0.1× 59 0.5× 80 1.1× 17 383
F. D. Ziegler United States 13 361 0.7× 99 0.4× 16 0.1× 100 0.8× 73 1.0× 22 573
J. Schrager United Kingdom 15 274 0.6× 111 0.5× 34 0.2× 116 0.9× 35 0.5× 27 573
Maurice J. Bertolini United States 7 311 0.6× 194 0.8× 32 0.2× 44 0.4× 42 0.6× 13 409
Nari Seo South Korea 10 153 0.3× 35 0.1× 31 0.2× 118 0.9× 14 0.2× 21 306
P. J. Winterburn United Kingdom 9 260 0.5× 87 0.4× 26 0.2× 28 0.2× 40 0.5× 21 425
J. Kipchirchir Bitok United States 6 430 0.9× 14 0.1× 60 0.4× 32 0.3× 14 0.2× 7 598
M.D.G. Oates United Kingdom 12 200 0.4× 98 0.4× 43 0.3× 64 0.5× 25 0.3× 16 359

Countries citing papers authored by Chengjian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chengjian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjian Wang. A scholar is included among the top collaborators of Chengjian Wang 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 Chengjian Wang. Chengjian Wang 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.
Sun, Pengfei, et al.. (2024). Development and validation of a nomogram to predict risk of septic cardiomyopathy in the intensive care unit. Scientific Reports. 14(1). 14114–14114. 1 indexed citations
2.
Ren, Fang, et al.. (2023). FNDC5 and AKR1B10 inhibit the proliferation and metastasis of adrenocortical carcinoma cells by regulating AMPK/mTOR pathway. Experimental and Therapeutic Medicine. 25(3). 136–136. 5 indexed citations
3.
Zhang, Zhen, Rémi Zallot, G. Michael Blackburn, et al.. (2022). Mechanistic and Structural Insights into the Specificity and Biological Functions of Bacterial Sulfoglycosidases. ACS Catalysis. 13(1). 824–836. 8 indexed citations
4.
Wang, Chengjian, Guiping Gong, Wei Qian, et al.. (2022). A versatile strategy for high-resolution separation of reducing glycan mixtures as hydrazones by two-dimensional high-performance liquid chromatography. Journal of Chromatography A. 1685. 463599–463599. 7 indexed citations
6.
Li, Li, et al.. (2020). Association between MC4R rs17782313 genotype and obesity: A meta-analysis. Gene. 733. 144372–144372. 60 indexed citations
7.
Jin, Wanjun, et al.. (2020). Purification of N- and O-glycans and their derivatives from biological samples by the absorbent cotton hydrophilic chromatographic column. Journal of Chromatography A. 1620. 461001–461001. 9 indexed citations
8.
Wei, Ming, Chengjian Wang, Yu Lu, et al.. (2020). Separation and preparation of N-glycans based on ammonia-catalyzed release method. Glycoconjugate Journal. 37(2). 165–174. 14 indexed citations
9.
Cheng, Li, Chengjian Wang, Wanjun Jin, et al.. (2019). Mass Spectrometric Analysis of N-Glycans of Glycoprotein Separated by SDS-PAGE Gel from Ginkgo Seed†. Gaodeng xuexiao huaxue xuebao. 40(1). 69–75. 1 indexed citations
10.
Wang, Chengjian, et al.. (2019). High-sensitivity quantification of glycosphingolipid glycans by ESI-MS utilizing ozonolysis-based release and isotopic Girard's reagent labeling. Analytical Biochemistry. 582. 113355–113355. 5 indexed citations
11.
Lu, Yu, Cheng Li, Ming Wei, et al.. (2019). Release, Separation, and Recovery of Monomeric Reducing N-Glycans with Pronase E Combined with 9-Chloromethyl Chloroformate and Glycosylasparaginase. Biochemistry. 58(8). 1120–1130. 7 indexed citations
12.
Wang, Chengjian, Qiang Shan, Wanjun Jin, et al.. (2018). Reductive chemical release of N-glycans as 1-amino-alditols and subsequent 9-fluorenylmethyloxycarbonyl labeling for MS and LC/MS analysis. Journal of Proteomics. 187. 47–58. 12 indexed citations
13.
Wang, Bo, Wanjun Jin, Yanan Wen, et al.. (2018). Sensitive and robust MALDI-TOF-MS glycomics analysis enabled by Girard's reagent T on-target derivatization (GTOD) of reducing glycans. Analytica Chimica Acta. 1048. 105–114. 52 indexed citations
14.
Yu, Lu, Chengjian Wang, Wanjun Jin, et al.. (2018). 3-Amino-1-phenyl-2-pyrazoline-5-ketone as a heterobifunctional chromogenic reagent to derivatize reducing glycans for subsequent online LC/MS analysis. Analytical Biochemistry. 549. 1–11. 8 indexed citations
15.
Wang, Chengjian, et al.. (2018). The ammonia-catalyzed release of glycoprotein N-glycans. Glycoconjugate Journal. 35(4). 411–420. 18 indexed citations
17.
Bai, Liang, Qianwei Li, Lingmei Li, et al.. (2016). Plasma High-Mannose and Complex/Hybrid N-Glycans Are Associated with Hypercholesterolemia in Humans and Rabbits. PLoS ONE. 11(3). e0146982–e0146982. 5 indexed citations
18.
Yuan, Jiangbei, Chengjian Wang, Yujiao Sun, Linjuan Huang, & Zhongfu Wang. (2014). Nonreductive chemical release of intact N-glycans for subsequent labeling and analysis by mass spectrometry. Analytical Biochemistry. 462. 1–9. 27 indexed citations
19.
Wang, Chengjian, Jiangbei Yuan, Xiaohua Li, Zhongfu Wang, & Linjuan Huang. (2013). Sulfonyl hydrazine-functionalized polymer as a specific capturer of reducing glycans from complex samples for high-throughput analysis by electrospray ionization mass spectrometry. The Analyst. 138(18). 5344–5344. 15 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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