Ruilan Guo

4.6k total citations · 1 hit paper
69 papers, 3.9k citations indexed

About

Ruilan Guo is a scholar working on Mechanical Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Ruilan Guo has authored 69 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Mechanical Engineering, 38 papers in Materials Chemistry and 24 papers in Polymers and Plastics. Recurrent topics in Ruilan Guo's work include Membrane Separation and Gas Transport (57 papers), Covalent Organic Framework Applications (22 papers) and Synthesis and properties of polymers (22 papers). Ruilan Guo is often cited by papers focused on Membrane Separation and Gas Transport (57 papers), Covalent Organic Framework Applications (22 papers) and Synthesis and properties of polymers (22 papers). Ruilan Guo collaborates with scholars based in United States, China and Australia. Ruilan Guo's co-authors include Benny D. Freeman, Zachary P. Smith, James E. McGrath, David F. Sanders, Donald R. Paul, Shuangjiang Luo, Lloyd M. Robeson, Qinnan Zhang, Jennifer Weidman and Anita J. Hill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Chemistry of Materials.

In The Last Decade

Ruilan Guo

67 papers receiving 3.9k citations

Hit Papers

Energy-efficient polymeric gas separation membranes for a... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruilan Guo United States 34 3.2k 2.0k 1.1k 1.0k 824 69 3.9k
Steven J. Pas Australia 25 1.8k 0.6× 1.4k 0.7× 738 0.7× 496 0.5× 680 0.8× 53 3.0k
Carin E. Tattershall United Kingdom 14 2.9k 0.9× 2.9k 1.4× 510 0.5× 664 0.7× 604 0.7× 18 4.1k
L. E. Starannikova Russia 22 2.0k 0.6× 1.1k 0.5× 562 0.5× 405 0.4× 353 0.4× 55 2.3k
Meixia Shan China 24 1.0k 0.3× 1.5k 0.7× 116 0.1× 434 0.4× 417 0.5× 44 2.1k
Martin Böhning Germany 22 796 0.2× 695 0.3× 770 0.7× 131 0.1× 240 0.3× 72 1.7k
Santanu Karan India 30 1.7k 0.5× 1.5k 0.8× 280 0.2× 3.1k 3.1× 1.5k 1.8× 60 4.7k
Barış Demir Australia 26 675 0.2× 765 0.4× 460 0.4× 113 0.1× 362 0.4× 56 1.8k
Junhong Zhao China 32 905 0.3× 896 0.4× 485 0.4× 103 0.1× 1.3k 1.6× 94 3.0k
Pengzhan Sun China 32 433 0.1× 2.6k 1.3× 269 0.2× 1.4k 1.4× 1.3k 1.5× 57 4.0k
Yanwei Sui China 43 1.1k 0.3× 2.5k 1.3× 804 0.7× 48 0.0× 4.7k 5.7× 257 7.2k

Countries citing papers authored by Ruilan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ruilan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruilan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ruilan Guo. A scholar is included among the top collaborators of Ruilan Guo 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 Ruilan Guo. Ruilan Guo 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.
Eméry, J., et al.. (2025). Microporous pentiptycene-based polybenzimidazole membranes for high temperature H2/CO2 separation. Journal of Membrane Science. 718. 123673–123673. 9 indexed citations
2.
Su, Yu‐Sheng, et al.. (2025). Tuning gas separation performance of polyimide membranes with macrocyclic crown ether units. Polymer. 333. 128677–128677.
4.
Wang, Tao, Yu‐Sheng Su, John R. Hoffman, et al.. (2024). Designing Phenolphthalein-Based Adsorptive Membranes for the High-Affinity, High-Capacity Capture of Contaminants from Water. ACS Applied Materials & Interfaces. 16(49). 68262–68272. 2 indexed citations
5.
Liu, Gang, et al.. (2024). Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation. Chemical Physics Reviews. 5(4). 6 indexed citations
7.
Liu, Gang, et al.. (2024). Superior polymeric gas separation membrane designed by explainable graph machine learning. Cell Reports Physical Science. 5(7). 102067–102067. 9 indexed citations
8.
Luo, Shuangjiang, et al.. (2023). Hierarchically microporous membranes for highly energy-efficient gas separations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(3). 376–387. 33 indexed citations
9.
Jiao, Yang, Qi Wu, Wei Xu, et al.. (2023). Finely tuning the microporosity in phosphoric acid doped triptycene-containing polybenzimidazole membranes for highly permselective helium and hydrogen recovery. Journal of Membrane Science. 672. 121474–121474. 20 indexed citations
10.
Guo, Ruilan & William A. Phillip. (2022). Forum: Polymer Membranes for Precision Separations. ACS Applied Polymer Materials. 4(11). 7943–7944. 1 indexed citations
11.
Li, Si, et al.. (2022). Pentiptycene-Containing Polybenzoxazole Membranes with a Crosslinked Unimodal Network Structure for High-Temperature Hydrogen Separations. Chemistry of Materials. 34(21). 9577–9588. 13 indexed citations
12.
Wang, Tao, Feng Gao, Si Li, William A. Phillip, & Ruilan Guo. (2021). Water and salt transport properties of pentiptycene-containing sulfonated polysulfones for desalination membrane applications. Journal of Membrane Science. 640. 119806–119806. 14 indexed citations
13.
Wang, Tao, et al.. (2020). Disulfonated Poly(arylene ether sulfone) Random Copolymers Containing Hierarchical Iptycene Units for Proton Exchange Membranes. Frontiers in Chemistry. 8. 674–674. 6 indexed citations
14.
Li, Tianyun, Junjie Liu, Zhiquan Chen, et al.. (2019). Microporous polyimides containing bulky tetra-o-isopropyl and naphthalene groups for gas separation membranes. Journal of Membrane Science. 585. 282–288. 36 indexed citations
15.
Luo, Shuangjiang, et al.. (2018). Facile Synthesis of a Pentiptycene-Based Highly Microporous Organic Polymer for Gas Storage and Water Treatment. ACS Applied Materials & Interfaces. 10(17). 15174–15182. 65 indexed citations
16.
Luo, Shuangjiang, Qinnan Zhang, Lingxiang Zhu, et al.. (2018). Highly Selective and Permeable Microporous Polymer Membranes for Hydrogen Purification and CO2 Removal from Natural Gas. Chemistry of Materials. 30(15). 5322–5332. 139 indexed citations
17.
Luo, Hongxi, et al.. (2018). Water and Salt Transport Properties of Triptycene-Containing Sulfonated Polysulfone Materials for Desalination Membrane Applications. ACS Applied Materials & Interfaces. 10(4). 4102–4112. 52 indexed citations
18.
Weidman, Jennifer, et al.. (2017). Triptycene-based copolyimides with tailored backbone rigidity for enhanced gas transport. Polymer. 126. 314–323. 34 indexed citations
19.
Dose, Michelle E., et al.. (2017). Polybenzoxazole (PBO)-based gas separation membranes thermally derived from blends of Ortho-functional polyimide and polyamide precursors. Separation and Purification Technology. 184. 384–393. 10 indexed citations
20.
Wei, Min, Lingxiang Zhu, Shuangjiang Luo, et al.. (2016). Cellulose triacetate doped with ionic liquids for membrane gas separation. Polymer. 89. 1–11. 84 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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