Jun Gao

28.7k total citations · 2 hit papers
147 papers, 4.2k citations indexed

About

Jun Gao is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Jun Gao has authored 147 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 31 papers in Materials Chemistry and 19 papers in Organic Chemistry. Recurrent topics in Jun Gao's work include Protein Structure and Dynamics (14 papers), Advanced Chemical Physics Studies (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Jun Gao is often cited by papers focused on Protein Structure and Dynamics (14 papers), Advanced Chemical Physics Studies (9 papers) and DNA and Nucleic Acid Chemistry (8 papers). Jun Gao collaborates with scholars based in China, United States and United Kingdom. Jun Gao's co-authors include Ted M. Dawson, Hui Huang, Valina L. Dawson, Kenny K. K. Chung, Ginette Serrero, Yi Zhang, Chengbu Liu, Thomas C. Squier, Christopher A. Ross and Kah‐Leong Lim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Jun Gao

139 papers receiving 4.1k citations

Hit Papers

Parkin functions as an E2-dependent ubiquitin– protein li... 2000 2026 2008 2017 2000 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Gao China 26 1.6k 955 750 458 445 147 4.2k
Takao Yagi United States 51 5.6k 3.4× 1.0k 1.1× 895 1.2× 548 1.2× 327 0.7× 151 8.2k
Jongsun Kim South Korea 34 1.1k 0.7× 1.3k 1.4× 575 0.8× 926 2.0× 316 0.7× 133 5.2k
Yulin Deng China 46 3.3k 2.0× 509 0.5× 505 0.7× 804 1.8× 283 0.6× 445 7.7k
Kazuki Sato Japan 39 3.6k 2.2× 327 0.3× 988 1.3× 1.2k 2.5× 620 1.4× 252 5.9k
Dehua Yang China 39 3.7k 2.3× 501 0.5× 1.7k 2.2× 548 1.2× 225 0.5× 250 6.5k
Igor F. Tsigelny United States 42 3.0k 1.9× 506 0.5× 658 0.9× 539 1.2× 439 1.0× 166 5.4k
Takatsugu Hirokawa Japan 31 2.7k 1.7× 461 0.5× 566 0.8× 311 0.7× 365 0.8× 159 4.6k
Tobias Madl Austria 46 4.7k 2.9× 412 0.4× 254 0.3× 630 1.4× 416 0.9× 192 6.5k
Judit Ovádi Hungary 40 3.6k 2.2× 483 0.5× 476 0.6× 753 1.6× 1.2k 2.6× 150 5.5k
Leonid Breydo United States 30 3.0k 1.8× 702 0.7× 438 0.6× 2.1k 4.6× 318 0.7× 74 4.8k

Countries citing papers authored by Jun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Gao. A scholar is included among the top collaborators of Jun Gao 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 Gao. Jun Gao 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.
Yang, Mengru, Yue Wang, Marie Held, et al.. (2025). Molecular basis of the biogenesis of a protein organelle for ethanolamine utilization. Science Advances. 11(40). eadx9774–eadx9774.
2.
Zhao, Longsheng, Xiaoyan Qu, Kang Li, et al.. (2024). Structural insights into the assembly and energy transfer of haptophyte photosystem I–light-harvesting supercomplex. Proceedings of the National Academy of Sciences. 121(50). e2413678121–e2413678121. 3 indexed citations
3.
Yang, Qian, et al.. (2024). Fluorescence quenching of deprotonated phenylurea through twisting motion induced by an electron-donating substituent group. Physical Chemistry Chemical Physics. 26(31). 21155–21162.
4.
Wang, Yue, et al.. (2024). A physical derivation of high-flux ion transport in biological channel via quantum ion coherence. Nature Communications. 15(1). 7189–7189. 16 indexed citations
5.
Zhao, Longsheng, Kang Li, Chunyang Li, et al.. (2024). Architecture of symbiotic dinoflagellate photosystem I–light-harvesting supercomplex in Symbiodinium. Nature Communications. 15(1). 2392–2392. 16 indexed citations
6.
Ma, Chao, et al.. (2024). ZNF217: An Oncogenic Transcription Factor and Potential Therapeutic Target for Multiple Human Cancers. Cancer Management and Research. Volume 16. 49–62. 3 indexed citations
7.
Zhang, Yu‐Zhong, Kang Li, Jianping Guo, et al.. (2024). Structure of cryptophyte photosystem II–light-harvesting antennae supercomplex. Nature Communications. 15(1). 4999–4999. 10 indexed citations
9.
Zhang, Han, et al.. (2023). Million-atom molecular dynamics simulations reveal the interfacial interactions and assembly of plant PSII-LHCII supercomplex. RSC Advances. 13(10). 6699–6712. 12 indexed citations
10.
Gao, Jun, et al.. (2023). Simulation of the ligand-leaving process of the human heat shock protein. Physical Chemistry Chemical Physics. 25(41). 28465–28472. 1 indexed citations
11.
Guo, Mengfan, et al.. (2023). Synergistic enhancement of photocatalytic degradation of dyes by structural defects and silver nanoparticles. Dyes and Pigments. 220. 111689–111689. 3 indexed citations
12.
Gao, Jun, et al.. (2022). Structural Insights into the Cofactor Role of Heparin/Heparan Sulfate in Binding between the SARS-CoV-2 Spike Protein and Host Angiotensin-Converting Enzyme II. Journal of Chemical Information and Modeling. 62(3). 656–667. 6 indexed citations
13.
Gao, Jun, et al.. (2022). Evolution characteristic and influencing mechanism of water-energy-food stress in Yangtze River Delta Urban Agglomeration. 自然资源学报. 37(6). 1586–1586. 7 indexed citations
14.
Hu, Zhicheng, et al.. (2021). Insights into Selectin Inhibitor Design from Endogenous Isomeric Ligands of SLea and SLex. Journal of Chemical Information and Modeling. 61(12). 6085–6093. 6 indexed citations
15.
Gao, Jun, et al.. (2021). Antiviral drug design based on the opening mechanism of spike glycoprotein in SARS-CoV-2. Physical Chemistry Chemical Physics. 23(22). 12549–12558. 6 indexed citations
16.
Gao, Jun, et al.. (2020). Insights into the Loop at the E-Selectin Binding Site: From Open to Close Conformation. Journal of Chemical Information and Modeling. 60(10). 5153–5161. 5 indexed citations
17.
Zhang, Yawen, Cox Lwaka Tamba, Yang-Jun Wen, et al.. (2020). mrMLM v4.0.2: An R Platform for Multi-Locus Genome-Wide Association Studies. Genomics Proteomics & Bioinformatics. 18(4). 481–487. 125 indexed citations
18.
Du, Likai, Fang Liu, Yanwei Li, et al.. (2018). Dioxygen Activation by Iron Complexes: The Catalytic Role of Intersystem Crossing Dynamics for a Heme-Related Model. The Journal of Physical Chemistry C. 122(5). 2821–2831. 6 indexed citations
20.
Zhang, Li, Jun Gao, Mingxing Xie, et al.. (2011). Abstract 10777: Three-Dimensional Global Longitudinal Strain Analysis of Left Ventricle by Real-time 3-D Speckle Tracking Imaging in Pediatric Population: Feasibility, Reproducibility, Maturational Changes, and Normal Ranges. Circulation. 124. 1 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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