Jun Qu

6.7k total citations
160 papers, 5.0k citations indexed

About

Jun Qu is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Jun Qu has authored 160 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 49 papers in Spectroscopy and 28 papers in Oncology. Recurrent topics in Jun Qu's work include Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (34 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Jun Qu is often cited by papers focused on Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (34 papers) and Metabolomics and Mass Spectrometry Studies (12 papers). Jun Qu collaborates with scholars based in United States, China and Switzerland. Jun Qu's co-authors include Qing Lin, Wenjiao Song, Yi‐Zhong Wang, Shichen Shen, Chengjian Tu, Robert M. Straubinger, Michael Madden, Xiaotao Duan, Xiaomeng Shen and Bo An and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Jun Qu

150 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Qu United States 41 3.3k 943 776 575 497 160 5.0k
Gÿorgý Kéri Hungary 41 3.5k 1.0× 458 0.5× 592 0.8× 349 0.6× 1.7k 3.4× 162 6.1k
Pramod S. Pandey United States 43 5.3k 1.6× 449 0.5× 673 0.9× 206 0.4× 1.2k 2.4× 95 7.2k
Robert J. Chalkley United States 43 4.0k 1.2× 1.6k 1.7× 709 0.9× 230 0.4× 364 0.7× 103 5.5k
Amy‐Joan L. Ham United States 38 3.2k 1.0× 836 0.9× 238 0.3× 133 0.2× 616 1.2× 69 5.1k
Young‐Ki Paik South Korea 40 3.1k 0.9× 964 1.0× 230 0.3× 139 0.2× 475 1.0× 159 5.2k
Hui Zhang United States 47 6.4k 1.9× 2.9k 3.1× 1.1k 1.4× 1.1k 1.9× 775 1.6× 205 8.4k
Johannes Graumann Germany 36 4.0k 1.2× 575 0.6× 292 0.4× 146 0.3× 521 1.0× 105 5.4k
Jong Shin Yoo South Korea 36 2.5k 0.8× 1.1k 1.2× 289 0.4× 243 0.4× 242 0.5× 147 3.8k
Yoshio Yamauchi Japan 43 4.4k 1.3× 892 0.9× 292 0.4× 230 0.4× 593 1.2× 168 6.6k

Countries citing papers authored by Jun Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qu. A scholar is included among the top collaborators of Jun Qu 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 Jun Qu. Jun Qu 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.
2.
Yang, Xinxin, Thomas Fillmore, Marina Gritsenko, et al.. (2025). A multiplex assay of leptin, resistin, and adiponectin by immunoaffinity enrichment and targeted mass spectrometry. PubMed. 36. 11–18.
3.
Moradian, Annie, Salvatore Sechi, Michael J. MacCoss, et al.. (2025). Biomarkers, Proteoforms, and Mass Spectrometry–Based Assays for Diabetes Clinical Research. The Journal of Clinical Endocrinology & Metabolism. 110(6). 1514–1523. 2 indexed citations
4.
Shen, Shichen, et al.. (2024). Proteomics Analysis of the Polyomavirus DNA Replication Initiation Complex Reveals Novel Functional Phosphorylated Residues and Associated Proteins. International Journal of Molecular Sciences. 25(8). 4540–4540. 2 indexed citations
5.
Wang, Wenbo & Jun Qu. (2024). Current and candidate additives for environmentally acceptable lubricants—A review. Friction. 13(4). 9440988–9440988. 3 indexed citations
6.
Shen, Shichen, Rebecca J. Kapphahn, Ming Zhang, et al.. (2023). Quantitative Proteomics of Human Retinal Pigment Epithelium Reveals Key Regulators for the Pathogenesis of Age-Related Macular Degeneration. International Journal of Molecular Sciences. 24(4). 3252–3252. 5 indexed citations
7.
Ciganda, Martı́n, José Sotelo‐Silveira, Parul Pandey, et al.. (2023). Translational control by Trypanosoma brucei DRBD18 contributes to the maintenance of the procyclic state. RNA. 29(12). 1881–1895. 3 indexed citations
8.
Miao, Xin, Gilbert Koch, Shichen Shen, et al.. (2023). Systems Pharmacodynamic Model of Combined Gemcitabine and Trabectedin in Pancreatic Cancer Cells. Part II: Cell Cycle, DNA Damage Response, and Apoptosis Pathways. Journal of Pharmaceutical Sciences. 113(1). 235–245. 3 indexed citations
9.
Zhang, Jianliang, Irwin H. Gelman, Jun Qu, & Steven N. Hochwald. (2022). Phosphohistidine signaling promotes FAK-RB1 interaction and growth factor-independent proliferation of esophageal squamous cell carcinoma. Oncogene. 42(6). 449–460. 5 indexed citations
10.
Shen, Shichen, Jun Qu, Alison J. May, et al.. (2022). A mechanism of gene evolution generating mucin function. Science Advances. 8(34). eabm8757–eabm8757. 15 indexed citations
11.
Lu, Daniel, Shichen Shen, Viviana Monje‐Galvan, et al.. (2021). Protein acylation by saturated very long chain fatty acids and endocytosis are involved in necroptosis. Cell chemical biology. 28(9). 1298–1309.e7. 31 indexed citations
12.
Chen, Mingqing, Alice A. Gibson, Shichen Shen, et al.. (2021). Regulation of OATP1B1 Function by Tyrosine Kinase–mediated Phosphorylation. Clinical Cancer Research. 27(15). 4301–4310. 27 indexed citations
13.
Aranda, Jacob V., Jun Qu, Gloria B. Valencia, & Kay D. Beharry. (2019). Pharmacologic interventions for the prevention and treatment of retinopathy of prematurity. Seminars in Perinatology. 43(6). 360–366. 26 indexed citations
14.
Rapanelli, Maximiliano, Tao Tan, Wei Wang, et al.. (2019). Behavioral, circuitry, and molecular aberrations by region-specific deficiency of the high-risk autism gene Cul3. Molecular Psychiatry. 26(5). 1491–1504. 55 indexed citations
15.
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
16.
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
17.
Weil, Brian R., Rebeccah F. Young, Xiaomeng Shen, et al.. (2017). Brief Myocardial Ischemia Produces Cardiac Troponin I Release and Focal Myocyte Apoptosis in the Absence of Pathological Infarction in Swine. JACC Basic to Translational Science. 2(2). 105–114. 86 indexed citations
18.
Shen, Shichen, Joshua J. Wang, Zhanwen He, et al.. (2017). Comparative Proteomic Analysis of the Mitochondria-associated ER Membrane (MAM) in a Long-term Type 2 Diabetic Rodent Model. Scientific Reports. 7(1). 2062–2062. 78 indexed citations
19.
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.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gÿorgý Kéri Breakdown of academic impact, for papers by Pramod S. Pandey Breakdown of academic impact, for papers by Robert J. Chalkley Breakdown of academic impact, for papers by Amy‐Joan L. Ham Breakdown of academic impact, for papers by Young‐Ki Paik Breakdown of academic impact, for papers by Hui Zhang Breakdown of academic impact, for papers by Johannes Graumann Breakdown of academic impact, for papers by Jong Shin Yoo Breakdown of academic impact, for papers by Yoshio Yamauchi
Rankless by CCL
2026