Jun Xing

4.7k total citations · 2 hit papers
71 papers, 4.0k citations indexed

About

Jun Xing is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, Jun Xing has authored 71 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 7 papers in Cell Biology. Recurrent topics in Jun Xing's work include Cardiomyopathy and Myosin Studies (21 papers), Viral Infections and Immunology Research (11 papers) and Cardiovascular Effects of Exercise (10 papers). Jun Xing is often cited by papers focused on Cardiomyopathy and Myosin Studies (21 papers), Viral Infections and Immunology Research (11 papers) and Cardiovascular Effects of Exercise (10 papers). Jun Xing collaborates with scholars based in United States, China and Germany. Jun Xing's co-authors include Michael E. Greenberg, David D. Ginty, Herbert C. Cheung, Wen‐Ji Dong, Steven S. Rosenfeld, Elizabeth A. Thiele, Jon M. Kornhauser, Zhengui Xia, William R. Sellers and David M. Livingston and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Jun Xing

70 papers receiving 3.9k citations

Hit Papers

Coupling of the RAS-MAPK Pathway to Gene Activation by RS... 1995 2026 2005 2015 1996 1995 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Xing United States 27 2.4k 916 694 594 540 71 4.0k
Massimo Olivotto Italy 30 2.7k 1.2× 1.2k 1.3× 305 0.4× 884 1.5× 322 0.6× 72 3.6k
Annarosa Arcangeli Italy 48 5.1k 2.2× 2.0k 2.2× 813 1.2× 1.5k 2.5× 512 0.9× 195 6.8k
Michele Mazzanti Italy 36 3.1k 1.3× 758 0.8× 229 0.3× 1.1k 1.8× 371 0.7× 84 4.3k
Yasutaka Ohta Japan 31 2.3k 1.0× 338 0.4× 328 0.5× 404 0.7× 1.7k 3.2× 61 3.7k
J Lacapère France 31 3.1k 1.3× 247 0.3× 540 0.8× 963 1.6× 637 1.2× 117 5.0k
James Herrington United States 32 2.0k 0.8× 280 0.3× 461 0.7× 919 1.5× 217 0.4× 51 3.1k
Takayuki Ikeda Japan 30 3.7k 1.6× 880 1.0× 531 0.8× 1.7k 2.8× 261 0.5× 120 5.4k
Leon G.J. Tertoolen Netherlands 44 5.2k 2.2× 707 0.8× 647 0.9× 1.2k 2.1× 728 1.3× 92 7.3k
Hideyuki Mukai Japan 39 3.7k 1.6× 306 0.3× 457 0.7× 542 0.9× 1.4k 2.7× 117 5.0k
Ora Bernard Australia 34 3.3k 1.4× 338 0.4× 604 0.9× 980 1.6× 1.8k 3.3× 64 5.8k

Countries citing papers authored by Jun Xing

Since Specialization
Citations

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

Fields of papers citing papers by Jun Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Xing. A scholar is included among the top collaborators of Jun Xing 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 Xing. Jun Xing 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
2.
Li, Dong, Ting La, Jun Xing, et al.. (2022). High nerve density in breast cancer is associated with poor patient outcome. FASEB BioAdvances. 4(6). 391–401. 20 indexed citations
3.
Xing, Jun, et al.. (2022). Clinical relevance of incomplete device endothelialization after left atrial appendage closure. The International Journal of Cardiovascular Imaging. 39(2). 451–459. 4 indexed citations
4.
Yan, Zhengzheng, et al.. (2022). LncRNA XIST sponges microRNA-448 to promote malignant behaviors of colorectal cancer cells via regulating GRHL2. Functional & Integrative Genomics. 22(5). 977–988. 8 indexed citations
6.
Xing, Jun, et al.. (2017). Safety, pharmacokinetics, and pharmacodynamics of BMS-986142, a novel reversible BTK inhibitor, in healthy participants. European Journal of Clinical Pharmacology. 73(6). 689–698. 26 indexed citations
7.
Lan, Xiuwen, Jun Xing, Hongyu Gao, et al.. (2016). Decreased Expression of Selenoproteins as a Poor Prognosticator of Gastric Cancer in Humans. Biological Trace Element Research. 178(1). 22–28. 30 indexed citations
8.
Hao, Shuyu, et al.. (2015). Third ventricular meningiomas. Journal of Clinical Neuroscience. 22(11). 1776–1784. 8 indexed citations
9.
Xing, Jun, et al.. (2014). Molecular Dynamics Simulations of the Cardiac Troponin Complex Performed with FRET Distances as Restraints. PLoS ONE. 9(2). e87135–e87135. 30 indexed citations
10.
Lu, Fanghao, Jun Xing, Xinying Zhang, et al.. (2013). Exogenous hydrogen sulfide prevents cardiomyocyte apoptosis from cardiac hypertrophy induced by isoproterenol. Molecular and Cellular Biochemistry. 381(1-2). 41–50. 46 indexed citations
11.
Xing, Jun, et al.. (2012). Effect of shRNA targeting survivin on ovarian cancer. Journal of Cancer Research and Clinical Oncology. 138(7). 1221–1229. 17 indexed citations
12.
Rosenfeld, Steven S., et al.. (2009). The ATPase Cycle of the Mitotic Motor CENP-E. Journal of Biological Chemistry. 284(47). 32858–32868. 26 indexed citations
13.
Dong, Wen‐Ji, et al.. (2007). Structural Kinetics of Cardiac Troponin C Mutants Linked to Familial Hypertrophic and Dilated Cardiomyopathy in Troponin Complexes. Journal of Biological Chemistry. 283(6). 3424–3432. 47 indexed citations
14.
Maliga, Zoltan, Jun Xing, Herbert C. Cheung, et al.. (2006). A Pathway of Structural Changes Produced by Monastrol Binding to Eg5. Journal of Biological Chemistry. 281(12). 7977–7982. 41 indexed citations
15.
Rosenfeld, Steven S., Jun Xing, Geraldine M. Jefferson, & Peter H. King. (2005). Docking and Rolling, a Model of How the Mitotic Motor Eg5 Works. Journal of Biological Chemistry. 280(42). 35684–35695. 55 indexed citations
16.
Dong, Wen‐Ji, John M. Robinson, Scott M. Stagg, Jun Xing, & Herbert C. Cheung. (2003). Ca2+-induced Conformational Transition in the Inhibitory and Regulatory Regions of Cardiac Troponin I. Journal of Biological Chemistry. 278(10). 8686–8692. 43 indexed citations
17.
Rosenfeld, Steven S., et al.. (2003). Myosin IIB Is Unconventionally Conventional. Journal of Biological Chemistry. 278(30). 27449–27455. 92 indexed citations
18.
Rosenfeld, Steven S., Jun Xing, Geraldine M. Jefferson, Herbert C. Cheung, & Peter H. King. (2002). Measuring Kinesin's First Step. Journal of Biological Chemistry. 277(39). 36731–36739. 48 indexed citations
19.
Xing, Jun, Willy Wriggers, Geraldine M. Jefferson, et al.. (2000). Kinesin Has Three Nucleotide-dependent Conformations. Journal of Biological Chemistry. 275(45). 35413–35423. 33 indexed citations
20.
Hirata, Yoko, David D. Ginty, Jun Xing, et al.. (1995). Induction of a Nerve Growth Factor‐Sensitive Kinase that Phosphorylates the DNA‐Binding Domain of the Orphan Nuclear Receptor NGFI‐B. Journal of Neurochemistry. 65(4). 1780–1788. 16 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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