Chengjian Tu

1.6k total citations
42 papers, 1.2k citations indexed

About

Chengjian Tu is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Chengjian Tu has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Spectroscopy and 4 papers in Cancer Research. Recurrent topics in Chengjian Tu's work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Chengjian Tu is often cited by papers focused on Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Chengjian Tu collaborates with scholars based in United States, China and Russia. Chengjian Tu's co-authors include Jun Qu, D.C. Liebler, Jun‐Xu Li, Robbert J.C. Slebos, Stephen E. Stein, Paul A. Rudnick, Xiaomeng Shen, Shichen Shen, Quanhu Sheng and Jianmin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and PLoS ONE.

In The Last Decade

Chengjian Tu

41 papers receiving 1.2k citations

Peers

Chengjian Tu
Urban A. Kiernan United States
Timothy J. Waybright United States
Maggie P. Y. Lam United States
Mark Baumert United Kingdom
Xia Zou China
Simon C. Gamble United Kingdom
Bertrand Perroud United States
Urban A. Kiernan United States
Chengjian Tu
Citations per year, relative to Chengjian Tu Chengjian Tu (= 1×) peers Urban A. Kiernan

Countries citing papers authored by Chengjian Tu

Since Specialization
Citations

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

Fields of papers citing papers by Chengjian Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjian Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjian Tu. A scholar is included among the top collaborators of Chengjian Tu 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 Tu. Chengjian Tu 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.
Shen, Shichen, et al.. (2023). Comparative Proteomics Analysis of Exosomes Identifies Key Pathways and Protein Markers Related to Breast Cancer Metastasis. International Journal of Molecular Sciences. 24(4). 4033–4033. 6 indexed citations
2.
Shen, Shichen, Xue Wang, Xiaoyu Zhu, et al.. (2022). High-quality and robust protein quantification in large clinical/pharmaceutical cohorts with IonStar proteomics investigation. Nature Protocols. 18(3). 700–731. 13 indexed citations
3.
Tu, Chengjian, et al.. (2022). Identification of Potential Megalin/Cubilin Substrates Using Extensive Proteomics Quantification from Kidney Megalin-Knockdown Mice. The AAPS Journal. 24(6). 109–109. 1 indexed citations
4.
Tu, Chengjian, et al.. (2021). Surface hydrophobics mediate functional dimerization of CYP121A1 of Mycobacterium tuberculosis. Scientific Reports. 11(1). 394–394. 6 indexed citations
5.
Ebeling, Mara C., et al.. (2020). Improving retinal mitochondrial function as a treatment for age-related macular degeneration. Redox Biology. 34. 101552–101552. 47 indexed citations
6.
Kumar, Amit, P. Ross Wilderman, Chengjian Tu, et al.. (2020). Evidence of Allosteric Coupling between Substrate Binding and Adx Recognition in the Vitamin D Carbon-24 Hydroxylase CYP24A1. Biochemistry. 59(15). 1537–1548. 12 indexed citations
7.
Jones, Robert S., Chengjian Tu, Ming Zhang, Jun Qu, & Marilyn E. Morris. (2019). Characterization and Proteomic-Transcriptomic Investigation of Monocarboxylate Transporter 6 Knockout Mice: Evidence of a Potential Role in Glucose and Lipid Metabolism. Molecular Pharmacology. 96(3). 364–376. 9 indexed citations
8.
Shen, Xiaomeng, Shichen Shen, Jun Li, et al.. (2018). IonStar enables high-precision, low-missing-data proteomics quantification in large biological cohorts. Proceedings of the National Academy of Sciences. 115(21). E4767–E4776. 62 indexed citations
9.
Tu, Chengjian, Shichen Shen, Ding Xu, et al.. (2018). Comparative Characterization of Osteoclasts Derived From Murine Bone Marrow Macrophages and RAW 264.7 Cells Using Quantitative Proteomics. JBMR Plus. 2(6). 328–340. 39 indexed citations
10.
Ge, Yichen, Jinqiu Zhu, Xue Wang, et al.. (2018). Mapping dynamic histone modification patterns during arsenic-induced malignant transformation of human bladder cells. Toxicology and Applied Pharmacology. 355. 164–173. 20 indexed citations
11.
Tu, Chengjian, Jun‐Xu Li, Shichen Shen, et al.. (2016). Performance Investigation of Proteomic Identification by HCD/CID Fragmentations in Combination with High/Low-Resolution Detectors on a Tribrid, High-Field Orbitrap Instrument. PLoS ONE. 11(7). e0160160–e0160160. 23 indexed citations
12.
Tu, Chengjian, Robert M. Straubinger, ­Jun Li­, et al.. (2016). Quantitative proteomic profiling of paired cancerous and normal colon epithelial cells isolated freshly from colorectal cancer patients. PROTEOMICS - CLINICAL APPLICATIONS. 11(5-6). 7 indexed citations
13.
Tu, Chengjian, Shichen Shen, Quanhu Sheng, Yu Shyr, & Jun Qu. (2016). A peptide-retrieval strategy enables significant improvement of quantitative performance without compromising confidence of identification. Journal of Proteomics. 152. 276–282. 3 indexed citations
14.
Tu, Chengjian, Quanhu Sheng, Jun‐Xu Li, et al.. (2014). ICan: An Optimized Ion-Current-Based Quantification Procedure with Enhanced Quantitative Accuracy and Sensitivity in Biomarker Discovery. Journal of Proteome Research. 13(12). 5888–5897. 19 indexed citations
15.
Nouri-Nigjeh, Eslam, Siddharth Sukumaran, Chengjian Tu, et al.. (2014). Highly Multiplexed and Reproducible Ion-Current-Based Strategy for Large-Scale Quantitative Proteomics and the Application to Protein Expression Dynamics Induced by Methylprednisolone in 60 Rats. Analytical Chemistry. 86(16). 8149–8157. 31 indexed citations
16.
Tu, Chengjian, Jun Li, Xiao-Sheng Jiang, et al.. (2013). Ion-current-based Proteomic Profiling of the Retina in a Rat Model of Smith-Lemli-Opitz Syndrome. Molecular & Cellular Proteomics. 12(12). 3583–3598. 46 indexed citations
17.
Tu, Chengjian, Jun‐Xu Li, Yahao Bu, David Hangauer, & Jun Qu. (2012). An ion-current-based, comprehensive and reproducible proteomic strategy for comparative characterization of the cellular responses to novel anti-cancer agents in a prostate cell model. Journal of Proteomics. 77. 187–201. 25 indexed citations
18.
Tu, Chengjian, Xiao-Sheng Jiang, Jun Qu, et al.. (2011). Retina Proteome Profiling in a Rat Model of Smith-Lemli-Opitz Syndrome Using an Ion-Current-Based Method. Investigative Ophthalmology & Visual Science. 52(14). 3332–3332.
20.
Tu, Chengjian, et al.. (2008). Atmospheric Deposition of Metals in TSP of Guiyang, PR China. Bulletin of Environmental Contamination and Toxicology. 80(5). 465–468. 56 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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