Junqing Sun

1.8k total citations
44 papers, 848 citations indexed

About

Junqing Sun is a scholar working on Molecular Biology, Hardware and Architecture and Infectious Diseases. According to data from OpenAlex, Junqing Sun has authored 44 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Hardware and Architecture and 8 papers in Infectious Diseases. Recurrent topics in Junqing Sun's work include Parallel Computing and Optimization Techniques (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Matrix Theory and Algorithms (5 papers). Junqing Sun is often cited by papers focused on Parallel Computing and Optimization Techniques (9 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Matrix Theory and Algorithms (5 papers). Junqing Sun collaborates with scholars based in China, United States and United Kingdom. Junqing Sun's co-authors include Gregory D. Peterson, Olaf O. Storaasli, Lin Tian, Chunyang Dong, Maxemiliano V. Vargas, Calvin Ly, Lee E. Dunlap, In-Wook Hwang, Won Chan Oh and William C. Wetsel and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Junqing Sun

43 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqing Sun China 17 287 231 113 85 79 44 848
Junko Takahashi Japan 20 322 1.1× 369 1.6× 102 0.9× 10 0.1× 69 0.9× 62 1.9k
Weimin Zheng China 23 208 0.7× 167 0.7× 155 1.4× 6 0.1× 110 1.4× 103 1.7k
Madhavi K. Ganapathiraju United States 19 641 2.2× 87 0.4× 11 0.1× 13 0.2× 54 0.7× 55 1.2k
Gary Liu United States 13 285 1.0× 49 0.2× 17 0.2× 24 0.3× 14 0.2× 21 594
Joel R. Stiles United States 17 718 2.5× 414 1.8× 26 0.2× 2 0.0× 44 0.6× 26 1.1k
Chunyan Li China 20 332 1.2× 53 0.2× 7 0.1× 33 0.4× 53 0.7× 69 1.1k
Andrew Kennedy United States 24 603 2.1× 120 0.5× 145 1.3× 13 0.2× 5 0.1× 61 1.4k
Haruhiko Noda Japan 22 836 2.9× 283 1.2× 119 1.1× 2 0.0× 141 1.8× 82 1.7k
Yiwen Wu China 19 336 1.2× 205 0.9× 2 0.0× 51 0.6× 112 1.4× 105 1.2k

Countries citing papers authored by Junqing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqing Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Junqing Sun. A scholar is included among the top collaborators of Junqing Sun 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 Junqing Sun. Junqing Sun 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.
Sun, Junqing, Jian Cheng, Mian Wu, et al.. (2025). Deciphering the assembly process of PQQ dependent methanol dehydrogenase. Nature Communications. 16(1). 6672–6672. 1 indexed citations
2.
Tian, Yuyang, Junqing Sun, Zhimin Liu, et al.. (2025). Cross-species recognition of two porcine coronaviruses to their cellular receptor aminopeptidase N of dogs and seven other species. PLoS Pathogens. 21(1). e1012836–e1012836. 4 indexed citations
3.
Sun, Junqing, Peng Qi, Xuejin Zhao, et al.. (2024). Cryo-EM structure of DNA polymerase of African swine fever virus. Nucleic Acids Research. 52(17). 10717–10729. 2 indexed citations
4.
Chang, Zhen, Junqing Sun, Gen Zhang, et al.. (2024). Bispecific antibodies targeting two glycoproteins on SFTSV exhibit synergistic neutralization and protection in a mouse model. Proceedings of the National Academy of Sciences. 121(24). 12 indexed citations
5.
Li, Linjie, Junqing Sun, Kaiyuan Shi, et al.. (2024). Receptor binding and structural basis of raccoon dog ACE2 binding to SARS-CoV-2 prototype and its variants. PLoS Pathogens. 20(12). e1012713–e1012713. 2 indexed citations
6.
Zhao, Runchu, Lili Wu, Junqing Sun, et al.. (2024). Two noncompeting human neutralizing antibodies targeting MPXV B6 show protective effects against orthopoxvirus infections. Nature Communications. 15(1). 4660–4660. 20 indexed citations
7.
Liu, Ruili, Junqing Sun, Lian‐Feng Li, et al.. (2024). Structural basis for difunctional mechanism of m-AMSA against African swine fever virus pP1192R. Nucleic Acids Research. 52(18). 11301–11316. 3 indexed citations
8.
Sun, Junqing, Lei Zhang, Yufeng Xie, et al.. (2024). NS2 induces an influenza A RNA polymerase hexamer and acts as a transcription to replication switch. EMBO Reports. 25(11). 4708–4727. 2 indexed citations
9.
Li, Linjie, Kaiyuan Shi, Zepeng Xu, et al.. (2024). Spike structures, receptor binding, and immune escape of recently circulating SARS-CoV-2 Omicron BA.2.86, JN.1, EG.5, EG.5.1, and HV.1 sub-variants. Structure. 32(8). 1055–1067.e6. 19 indexed citations
10.
Li, Ying, Zhennan Zhao, Sheng Liu, et al.. (2023). Structural basis of Semliki Forest virus entry using the very-low-density lipoprotein receptor. 1(2). 124–136. 5 indexed citations
11.
Dong, Chunyang, Calvin Ly, Lee E. Dunlap, et al.. (2021). Psychedelic-inspired drug discovery using an engineered biosensor. Cell. 184(10). 2779–2792.e18. 136 indexed citations
12.
Sun, Junqing, Congcong Liu, Ruchao Peng, et al.. (2020). Cryo-EM structure of the varicella-zoster virus A-capsid. Nature Communications. 11(1). 16 indexed citations
13.
Patriarchi, Tommaso, Ali Mohebi, Junqing Sun, et al.. (2020). An expanded palette of dopamine sensors for multiplex imaging in vivo. Nature Methods. 17(11). 1147–1155. 127 indexed citations
14.
Ding, Guo‐Bin, et al.. (2018). Robust Anticancer Efficacy of a Biologically Synthesized Tumor Acidity-Responsive and Autophagy-Inducing Functional Beclin 1. ACS Applied Materials & Interfaces. 10(6). 5227–5239. 26 indexed citations
15.
Ding, Guo‐Bin, et al.. (2017). A Novel Doxorubicin Prodrug with GRP78 Recognition and Nucleus-Targeting Ability for Safe and Effective Cancer Therapy. Molecular Pharmaceutics. 15(1). 238–246. 16 indexed citations
16.
Chowdhury, Dhrubajyoti, Matthew Turner, Tommaso Patriarchi, et al.. (2017). Ca 2+ /calmodulin binding to PSD ‐95 mediates homeostatic synaptic scaling down. The EMBO Journal. 37(1). 122–138. 31 indexed citations
17.
Zhan, Hong, Kenichi Aizawa, Junqing Sun, et al.. (2016). Ataxia telangiectasia mutated in cardiac fibroblasts regulates doxorubicin-induced cardiotoxicity. Figshare. 1 indexed citations
18.
Sawaki, Daigo, Shota Tomida, Junqing Sun, et al.. (2015). Modulation of cardiac fibrosis by Krüppel-like factor 6 through transcriptional control of thrombospondin 4 in cardiomyocytes. Cardiovascular Research. 107(4). 420–430. 36 indexed citations
19.
Wei, Jinhong, et al.. (2014). Effects of extremely low frequency electromagnetic fields on intracellular calcium transients in cardiomyocytes. Electromagnetic Biology and Medicine. 34(1). 77–84. 27 indexed citations
20.
Sun, Junqing & Gregory D. Peterson. (2006). Effective Execution Time Estimation for Heterogeneous Parallel Computing.. 203–208. 2 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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