Qing Jun Wang

74 total papers · 6.9k total citations
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, Junichi Iwata, Eiki Kominami, Keiji Tanaka, Victor L. Friedrich 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

The Beclin 1–VPS34 comple... 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qing Jun Wang 1.4k 1.4k 531 343 341 43 2.7k
Flavie Strappazzon 1.6k 1.1× 1.4k 1.0× 431 0.8× 312 0.9× 243 0.7× 35 2.4k
Francesca Nazio 2.0k 1.5× 1.8k 1.3× 546 1.0× 376 1.1× 242 0.7× 38 3.1k
Héctor Sandoval 991 0.7× 1.6k 1.2× 488 0.9× 498 1.5× 243 0.7× 29 2.9k
Pasqualina Colella 1.8k 1.3× 2.3k 1.7× 564 1.1× 647 1.9× 226 0.7× 31 4.1k
Robert Gourlay 1.1k 0.8× 2.2k 1.6× 571 1.1× 341 1.0× 661 1.9× 40 3.2k
Yan Zhao 1.3k 1.0× 1.6k 1.2× 723 1.4× 317 0.9× 149 0.4× 69 3.1k
Bing Zhou 648 0.5× 1.1k 0.8× 409 0.8× 349 1.0× 215 0.6× 77 2.3k
Mariella Vicinanza 1.1k 0.8× 1.2k 0.9× 973 1.8× 385 1.1× 136 0.4× 23 2.4k
Takeshi Kaizuka 2.1k 1.5× 1.5k 1.1× 740 1.4× 325 0.9× 153 0.4× 22 3.0k
Kasturi Mitra 995 0.7× 1.5k 1.1× 505 1.0× 307 0.9× 121 0.4× 28 2.6k

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

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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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