Junlang Liu

1.5k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

Junlang Liu is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Molecular Biology. According to data from OpenAlex, Junlang Liu has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Renewable Energy, Sustainability and the Environment, 3 papers in Catalysis and 2 papers in Molecular Biology. Recurrent topics in Junlang Liu's work include CO2 Reduction Techniques and Catalysts (5 papers), Electrocatalysts for Energy Conversion (3 papers) and Ionic liquids properties and applications (3 papers). Junlang Liu is often cited by papers focused on CO2 Reduction Techniques and Catalysts (5 papers), Electrocatalysts for Energy Conversion (3 papers) and Ionic liquids properties and applications (3 papers). Junlang Liu collaborates with scholars based in China, United States and Saudi Arabia. Junlang Liu's co-authors include Gengfeng Zheng, Yuhang Wang, Yifei Wang, Abdullah M. Al‐Enizi, Yali Ji, Chao Yang, Guosong Hong, Xiang Wu, Yao‐Yue Yang and Xin Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Junlang Liu

9 papers receiving 1.3k citations

Hit Papers

Tether-free photothermal deep-brain stimulation in freely... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlang Liu China 7 931 568 393 272 215 9 1.3k
Chenyue Qiu China 13 747 0.8× 311 0.5× 823 2.1× 237 0.9× 101 0.5× 28 1.3k
Ren Liu United States 20 383 0.4× 237 0.4× 337 0.9× 313 1.2× 285 1.3× 35 1.2k
Jianyang Wang China 19 470 0.5× 1.2k 2.0× 1.1k 2.8× 81 0.3× 152 0.7× 33 1.7k
Cory A. Milligan United States 9 378 0.4× 217 0.4× 1.0k 2.6× 554 2.0× 98 0.5× 10 1.3k
Yu Xing China 18 218 0.2× 248 0.4× 444 1.1× 188 0.7× 258 1.2× 32 955
Jin‐Woo Jung South Korea 18 569 0.6× 80 0.1× 605 1.5× 184 0.7× 69 0.3× 38 1.4k
Yijin Shu China 16 280 0.3× 147 0.3× 350 0.9× 313 1.2× 156 0.7× 27 829
Juntong Zhu China 19 777 0.8× 164 0.3× 981 2.5× 846 3.1× 171 0.8× 33 1.7k
Fei Yu China 20 675 0.7× 73 0.1× 648 1.6× 383 1.4× 69 0.3× 47 1.1k

Countries citing papers authored by Junlang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junlang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlang Liu

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

All Works

9 of 9 papers shown
1.
Ranganathan, Srivastav, Junlang Liu, & Eugene I. Shakhnovich. (2023). Enzymatic metabolons dramatically enhance metabolic fluxes of low-efficiency biochemical reactions. Biophysical Journal. 122(23). 4555–4566. 3 indexed citations
2.
Wu, Xiang, Yuyan Jiang, Nicholas J. Rommelfanger, et al.. (2022). Tether-free photothermal deep-brain stimulation in freely behaving mice via wide-field illumination in the near-infrared-II window. Nature Biomedical Engineering. 6(6). 754–770. 173 indexed citations breakdown →
3.
Ranganathan, Srivastav, Junlang Liu, & Eugene I. Shakhnovich. (2022). Different states and the associated fates of biomolecular condensates. Essays in Biochemistry. 66(7). 849–862. 5 indexed citations
4.
Wang, Yuhang, Junlang Liu, & Gengfeng Zheng. (2021). Designing Copper‐Based Catalysts for Efficient Carbon Dioxide Electroreduction. Advanced Materials. 33(46). e2005798–e2005798. 285 indexed citations
5.
Gu, Zhengxiang, H. F. Shen, Zheng Chen, et al.. (2021). Efficient Electrocatalytic CO2 Reduction to C2+ Alcohols at Defect-Site-Rich Cu Surface. Joule. 5(2). 429–440. 308 indexed citations
6.
Yang, Chao, Hanchen Shen, Anxiang Guan, et al.. (2020). Fast cooling induced grain-boundary-rich copper oxide for electrocatalytic carbon dioxide reduction to ethanol. Journal of Colloid and Interface Science. 570. 375–381. 51 indexed citations
7.
Wu, Xiang, Xingjun Zhu, P. Andrew Chong, et al.. (2019). Sono-optogenetics facilitated by a circulation-delivered rechargeable light source for minimally invasive optogenetics. Proceedings of the National Academy of Sciences. 116(52). 26332–26342. 163 indexed citations
8.
Wang, Yuhang, Junlang Liu, Yifei Wang, Yonggang Wang, & Gengfeng Zheng. (2018). Efficient solar-driven electrocatalytic CO2 reduction in a redox-medium-assisted system. Nature Communications. 9(1). 5003–5003. 112 indexed citations
9.
Wang, Yuhang, Junlang Liu, Yifei Wang, Abdullah M. Al‐Enizi, & Gengfeng Zheng. (2017). Tuning of CO2 Reduction Selectivity on Metal Electrocatalysts. Small. 13(43). 213 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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