Kim E. Jelfs

12.3k total citations · 3 hit papers
152 papers, 8.6k citations indexed

About

Kim E. Jelfs is a scholar working on Materials Chemistry, Organic Chemistry and Inorganic Chemistry. According to data from OpenAlex, Kim E. Jelfs has authored 152 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Materials Chemistry, 82 papers in Organic Chemistry and 79 papers in Inorganic Chemistry. Recurrent topics in Kim E. Jelfs's work include Metal-Organic Frameworks: Synthesis and Applications (74 papers), Supramolecular Chemistry and Complexes (69 papers) and Covalent Organic Framework Applications (50 papers). Kim E. Jelfs is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (74 papers), Supramolecular Chemistry and Complexes (69 papers) and Covalent Organic Framework Applications (50 papers). Kim E. Jelfs collaborates with scholars based in United Kingdom, United States and Germany. Kim E. Jelfs's co-authors include Andrew I. Cooper, Samantha Y. Chong, Tom Hasell, Dave J. Adams, Marc A. Little, Qilei Song, Marc Schmidtmann, Andrew G. Livingston, Andrew Tarzia and Maria F. Jimenez‐Solomon and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Kim E. Jelfs

145 papers receiving 8.5k citations

Hit Papers

Polymer nanofilms with enhanced microporosity by interfac... 2014 2026 2018 2022 2016 2014 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim E. Jelfs United Kingdom 50 5.2k 3.9k 3.3k 1.5k 1.2k 152 8.6k
Samantha Y. Chong United Kingdom 43 7.7k 1.5× 5.8k 1.5× 3.1k 0.9× 1.1k 0.8× 1.0k 0.8× 66 10.3k
Takashi Uemura Japan 47 5.4k 1.1× 5.3k 1.3× 1.6k 0.5× 973 0.6× 1.4k 1.2× 182 9.0k
Ming Liu China 46 5.4k 1.0× 2.4k 0.6× 2.5k 0.7× 499 0.3× 3.1k 2.5× 175 8.7k
Jaheon Kim South Korea 16 5.8k 1.1× 8.3k 2.1× 1.4k 0.4× 951 0.6× 725 0.6× 24 9.8k
Jie Zhang China 55 6.9k 1.3× 6.2k 1.6× 1.8k 0.5× 440 0.3× 989 0.8× 313 10.5k
Yingjie Zhao China 51 5.1k 1.0× 2.1k 0.5× 1.3k 0.4× 756 0.5× 3.4k 2.8× 293 9.6k
Xin Liu China 62 6.9k 1.3× 1.8k 0.5× 2.2k 0.7× 1.5k 1.0× 3.6k 3.0× 425 13.1k
Marc A. Little United Kingdom 39 4.9k 1.0× 3.7k 0.9× 2.4k 0.7× 603 0.4× 854 0.7× 83 7.1k
Volodymyr Bon Germany 48 6.3k 1.2× 7.3k 1.9× 885 0.3× 1.0k 0.7× 1.3k 1.1× 207 10.3k
Christopher E. Wilmer United States 37 6.5k 1.3× 6.5k 1.7× 717 0.2× 1.8k 1.2× 1.2k 1.0× 68 10.1k

Countries citing papers authored by Kim E. Jelfs

Since Specialization
Citations

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

Fields of papers citing papers by Kim E. Jelfs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim E. Jelfs. 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 Kim E. Jelfs. The network helps show where Kim E. Jelfs may publish in the future.

Co-authorship network of co-authors of Kim E. Jelfs

This figure shows the co-authorship network connecting the top 25 collaborators of Kim E. Jelfs. A scholar is included among the top collaborators of Kim E. Jelfs 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 Kim E. Jelfs. Kim E. Jelfs 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.
Mroz, Austin M., et al.. (2025). Construction of an organic cage-based porous ionic liquid using an aminal tying strategy. Molecular Systems Design & Engineering. 10(6). 459–463.
3.
Turcani, Lukas, et al.. (2024). Streamlining the automated discovery of porous organic cages. Chemical Science. 15(17). 6331–6348. 15 indexed citations
4.
Wang, Anqi, Charlotte Breakwell, Fabrizia Foglia, et al.. (2024). Selective ion transport through hydrated micropores in polymer membranes. Nature. 635(8038). 353–358. 83 indexed citations breakdown →
5.
Mroz, Austin M., et al.. (2023). Deep generative design of porous organic cages via a variational autoencoder. Digital Discovery. 2(6). 1925–1936. 7 indexed citations
6.
Tarzia, Andrew, et al.. (2023). Tetramine Aspect Ratio and Flexibility Determine Framework Symmetry for Zn8L6Self‐Assembled Structures. Angewandte Chemie International Edition. 62(10). e202217987–e202217987. 19 indexed citations
7.
Tan, Rui, Anqi Wang, Chunchun Ye, et al.. (2023). Thin Film Composite Membranes with Regulated Crossover and Water Migration for Long‐Life Aqueous Redox Flow Batteries. Advanced Science. 10(20). e2206888–e2206888. 29 indexed citations
8.
Tarzia, Andrew, et al.. (2023). Diastereoselective Self‐Assembly of Low‐Symmetry Pd n L 2 n Nanocages through Coordination‐Sphere Engineering**. Angewandte Chemie International Edition. 62(51). e202315451–e202315451. 27 indexed citations
9.
Wade, Jessica, Francesco Salerno, Rachel C. Kilbride, et al.. (2022). Controlling anisotropic properties by manipulating the orientation of chiral small molecules. Nature Chemistry. 14(12). 1383–1389. 28 indexed citations
10.
Turcani, Lukas, Andrew Tarzia, Filip Szczypiński, & Kim E. Jelfs. (2021). stk : An extendable Python framework for automated molecular and supramolecular structure assembly and discovery. The Journal of Chemical Physics. 154(21). 214102–214102. 37 indexed citations
11.
Sapnik, Adam F., Irene Bechis, Sean M. Collins, et al.. (2021). Mixed hierarchical local structure in a disordered metal–organic framework. Nature Communications. 12(1). 2062–2062. 68 indexed citations
12.
Tarzia, Andrew, James E. M. Lewis, & Kim E. Jelfs. (2021). High‐Throughput Computational Evaluation of Low Symmetry Pd 2 L 4 Cages to Aid in System Design**. Angewandte Chemie International Edition. 60(38). 20879–20887. 50 indexed citations
13.
Tarzia, Andrew, James E. M. Lewis, & Kim E. Jelfs. (2021). High‐Throughput Computational Evaluation of Low Symmetry Pd2L4Cages to Aid in System Design**. Angewandte Chemie. 133(38). 21047–21055. 7 indexed citations
15.
Yuan, Qi, Alejandro Santana‐Bonilla, Martijn A. Zwijnenburg, & Kim E. Jelfs. (2020). Molecular generation targeting desired electronic properties via deep generative models. Nanoscale. 12(12). 6744–6758. 30 indexed citations
16.
Lewis, James E. M., Andrew Tarzia, Andrew J. P. White, & Kim E. Jelfs. (2019). Conformational control of Pd2L4 assemblies with unsymmetrical ligands. Chemical Science. 11(3). 677–683. 119 indexed citations
17.
Teng, Baiyang, Marc A. Little, Tom Hasell, et al.. (2019). Synthesis of a Large, Shape-Flexible, Solvatomorphic Porous Organic Cage. Crystal Growth & Design. 19(7). 3647–3651. 26 indexed citations
18.
Slater, Anna G., Marc A. Little, Angeles Pulido, et al.. (2016). Reticular synthesis of porous molecular 1D nanotubes and 3D networks. Nature Chemistry. 9(1). 17–25. 132 indexed citations
19.
Reiss, Paul S., Marc A. Little, Valentina Santolini, et al.. (2016). Periphery‐Functionalized Porous Organic Cages. Chemistry - A European Journal. 22(46). 16547–16553. 43 indexed citations
20.
Holden, Daniel, Samantha Y. Chong, Linjiang Chen, et al.. (2016). Understanding static, dynamic and cooperative porosity in molecular materials. Chemical Science. 7(8). 4875–4879. 45 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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