Qing Jun Wang

7.0k total citations · 1 hit paper
43 papers, 2.7k citations indexed

About

Qing Jun Wang is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Qing Jun Wang has authored 43 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Epidemiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Qing Jun Wang's work include Autophagy in Disease and Therapy (14 papers), Lysosomal Storage Disorders Research (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). Qing Jun Wang is often cited by papers focused on Autophagy in Disease and Therapy (14 papers), Lysosomal Storage Disorders Research (5 papers) and Photosynthetic Processes and Mechanisms (4 papers). Qing Jun Wang collaborates with scholars based in United States, China and Japan. Qing Jun Wang's co-authors include Zhenyu Yue, Sarah F. Funderburk, Brian T. Chait, Masaaki Komatsu, Gay R. Holstein, Victor L. Friedrich, Junichi Iwata, Eiki Kominami, Keiji Tanaka and John Whitmarsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Qing Jun Wang

40 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Beclin 1–VPS34 complex – at the crossroads of autophagy and beyond

2010 636 citations Sarah F. Funderburk, Qing Jun Wang et al. Trends in Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Jun Wang United States	20	1.4k	1.4k	532	344	342	43	2.7k
Maria Perander Norway	17	2.2k 1.6×	2.1k 1.6×	804 1.5×	316 0.9×	275 0.8×	20	3.7k
Bing Zhou China	24	653 0.5×	1.1k 0.8×	413 0.8×	353 1.0×	217 0.6×	77	2.3k
Takeshi Kaizuka Japan	13	2.1k 1.5×	1.5k 1.1×	742 1.4×	326 0.9×	153 0.4×	23	3.1k
Kasturi Mitra United States	16	997 0.7×	1.6k 1.1×	505 0.9×	307 0.9×	120 0.4×	28	2.6k
Insil Kim United States	14	1.2k 0.9×	2.0k 1.5×	269 0.5×	324 0.9×	153 0.4×	21	3.0k
Jean‐François Trempe Canada	28	1.7k 1.2×	2.7k 2.0×	674 1.3×	432 1.3×	934 2.7×	68	4.0k
Valerio Embrione Italy	5	1.0k 0.7×	822 0.6×	547 1.0×	568 1.7×	178 0.5×	6	2.0k
Yushan Zhu China	33	2.3k 1.7×	3.1k 2.3×	814 1.5×	600 1.7×	382 1.1×	66	4.8k
Dominic Winter Germany	23	606 0.4×	1.6k 1.2×	384 0.7×	344 1.0×	377 1.1×	69	2.5k
Steven R. Post United States	28	597 0.4×	2.0k 1.4×	391 0.7×	348 1.0×	179 0.5×	68	3.3k

Countries citing papers authored by Qing Jun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qing Jun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Jun Wang. A scholar is included among the top collaborators of Qing Jun 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 Qing Jun Wang. Qing Jun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lv, Zhihan, Dongliang Chen, Ranran Lou, & Qing Jun Wang. (2024). Retraction notice to “Intelligent Edge Computing Based on Machine Learning for Smart City” [Future Generation Computer Systems 115 (2020) 90–99]. Future Generation Computer Systems. 158. 569–569. 1 indexed citations

Vekaria, Hemendra J., et al.. (2023). Platelet glycogenolysis is important for energy production and function. Platelets. 34(1). 2222184–2222184. 10 indexed citations

Zhong, Yu, Kabhilan Mohan, Jinpeng Liu, et al.. (2020). Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(10). 165883–165883. 23 indexed citations

Wang, Qing Jun, et al.. (2020). Imaging data on characterization of retinal autofluorescent lesions in a mouse model of juvenile neuronal ceroid lipofuscinosis (CLN3 disease). SHILAP Revista de lepidopterología. 32. 106076–106076. 3 indexed citations

Banerjee, Meenakshi, Yunjie Huang, Smita Joshi, et al.. (2020). Platelets Endocytose Viral Particles and Are Activated via TLR (Toll-Like Receptor) Signaling. Arteriosclerosis Thrombosis and Vascular Biology. 40(7). 1635–1650. 77 indexed citations

Banerjee, Meenakshi, Yunjie Huang, Madhu M. Ouseph, et al.. (2019). Autophagy in Platelets. Methods in molecular biology. 1880. 511–528. 14 indexed citations

Flight, Robert M, Qing Jun Wang, Richard M. Higashi, et al.. (2018). New methods to identify high peak density artifacts in Fourier transform mass spectra and to mitigate their effects on high-throughput metabolomic data analysis. Metabolomics. 14(10). 125–125. 10 indexed citations

Burikhanov, Ravshan, Nikhil Hebbar, Sunil K. Noothi, et al.. (2017). Chloroquine-Inducible Par-4 Secretion Is Essential for Tumor Cell Apoptosis and Inhibition of Metastasis. Cell Reports. 18(2). 508–519. 47 indexed citations

Yip, Calvin K., et al.. (2015). Beclin 1-Vps34 complex architecture: Understanding the nuts and bolts of therapeutic targets. Frontiers in Biology. 10(5). 398–426. 49 indexed citations

10.

Shi, Yi, Riccardo Pellarin, Peter C. Fridy, et al.. (2015). A strategy for dissecting the architectures of native macromolecular assemblies. Nature Methods. 12(12). 1135–1138. 96 indexed citations

11.

Zhong, Yu, Lin Jin, Senthil Karunakaran, et al.. (2014). Nrbf2 Protein Suppresses Autophagy by Modulating Atg14L Protein-containing Beclin 1-Vps34 Complex Architecture and Reducing Intracellular Phosphatidylinositol-3 Phosphate Levels. Journal of Biological Chemistry. 289(38). 26021–26037. 56 indexed citations

12.

Cai, Jianming, Xue-Qiao Zhao, Qing Jun Wang, et al.. (2014). Early decrease in carotid plaque lipid content as assessed by magnetic resonance imaging during treatment of rosuvastatin. BMC Cardiovascular Disorders. 14(1). 83–83. 15 indexed citations

13.

Li, Xianting, Qing Jun Wang, Nina Pan, et al.. (2011). Phosphorylation-Dependent 14-3-3 Binding to LRRK2 Is Impaired by Common Mutations of Familial Parkinson's Disease. PLoS ONE. 6(3). e17153–e17153. 136 indexed citations

14.

Funderburk, Sarah F., Qing Jun Wang, & Zhenyu Yue. (2010). The Beclin 1–VPS34 complex – at the crossroads of autophagy and beyond. Trends in Cell Biology. 20(6). 355–362. 636 indexed citations breakdown →

15.

Yue, Zhenyu, Gay R. Holstein, Brian T. Chait, & Qing Jun Wang. (2009). Chapter 8 Using Genetic Mouse Models to Study the Biology and Pathology of Autophagy in the Central Nervous System. Methods in enzymology on CD-ROM/Methods in enzymology. 453. 159–180. 4 indexed citations

16.

Fenyö, David, Qing Jun Wang, Jeffrey A. DeGrasse, et al.. (2007). MALDI Sample Preparation: the Ultra Thin Layer Method. Journal of Visualized Experiments. 192–192. 27 indexed citations

17.

Wang, Qing Jun, Noboru Mizushima, Ileana M. Cristea, et al.. (2006). Induction of Autophagy in Axonal Dystrophy and Degeneration. Journal of Neuroscience. 26(31). 8057–8068. 250 indexed citations

18.

Nelson, Matthew, et al.. (2005). Cytochrome b6 Arginine 214 of Synechococcus sp. PCC 7002, a Key Residue for Quinone-reductase Site Function and Turnover of the Cytochrome bf Complex. Journal of Biological Chemistry. 280(11). 10395–10402. 10 indexed citations

19.

Kashino, Yasuhiro, Wendy M. Lauber, James A. Carroll, et al.. (2002). Proteomic Analysis of a Highly Active Photosystem II Preparation from the Cyanobacterium Synechocystis sp. PCC 6803 Reveals the Presence of Novel Polypeptides. Biochemistry. 41(25). 8004–8012. 278 indexed citations

20.

Wang, Qing Jun, et al.. (2002). Mechanical and surface properties of polysulfide‐based polyurea modified with aminoethylaminopropyl poly(dimethylsiloxane). Journal of Applied Polymer Science. 87(4). 584–588. 14 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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