Kai Qi

2.6k total citations · 1 hit paper
58 papers, 2.2k citations indexed

About

Kai Qi is a scholar working on Materials Chemistry, Biomaterials and Molecular Biology. According to data from OpenAlex, Kai Qi has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 12 papers in Biomaterials and 9 papers in Molecular Biology. Recurrent topics in Kai Qi's work include Supramolecular Self-Assembly in Materials (10 papers), Chemical Synthesis and Analysis (8 papers) and Theoretical and Computational Physics (6 papers). Kai Qi is often cited by papers focused on Supramolecular Self-Assembly in Materials (10 papers), Chemical Synthesis and Analysis (8 papers) and Theoretical and Computational Physics (6 papers). Kai Qi collaborates with scholars based in China, United States and United Kingdom. Kai Qi's co-authors include Karen L. Wooley, Honggang Cui, Darrin J. Pochan, Zhiyun Chen, Kelly Hales, Chong Cheng, Ezat Khoshdel, Qinggao Ma, Zhibin Li and Edward E. Remsen and has published in prestigious journals such as Science, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Kai Qi

53 papers receiving 2.2k citations

Hit Papers

Toroidal Triblock Copolymer Assemblies 2004 2026 2011 2018 2004 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
Kai Qi China 21 1.2k 832 520 463 330 58 2.2k
Michael Aizenberg United States 28 1.2k 1.0× 536 0.6× 371 0.7× 566 1.2× 110 0.3× 72 3.2k
Daisuke Suzuki Japan 32 1.2k 1.1× 1.3k 1.5× 520 1.0× 534 1.2× 291 0.9× 170 4.1k
Kevin Sill United States 17 644 0.5× 1.2k 1.4× 323 0.6× 308 0.7× 308 0.9× 27 1.9k
Jason E. DeRouchey United States 22 692 0.6× 1.7k 2.1× 299 0.6× 412 0.9× 311 0.9× 40 3.0k
Oktay Uzun United States 21 534 0.5× 1.3k 1.6× 753 1.4× 455 1.0× 191 0.6× 30 3.0k
Charles E. Sing United States 36 1.2k 1.0× 1.4k 1.7× 378 0.7× 1.1k 2.3× 605 1.8× 88 4.1k
Samuel T. Jones United Kingdom 20 1.0k 0.9× 665 0.8× 861 1.7× 151 0.3× 244 0.7× 55 2.6k
Karen Köhler Germany 24 528 0.4× 745 0.9× 911 1.8× 1.3k 2.8× 499 1.5× 62 2.9k
Paul Dalhaimer United States 18 849 0.7× 794 1.0× 1.4k 2.8× 384 0.8× 230 0.7× 35 3.3k
Hans M. Wyss Netherlands 28 688 0.6× 1.4k 1.6× 563 1.1× 133 0.3× 434 1.3× 61 3.7k

Countries citing papers authored by Kai Qi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Qi. A scholar is included among the top collaborators of Kai Qi 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 Kai Qi. Kai Qi 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.
Qi, Kai, Yan Wang, Limin Zhang, et al.. (2025). How Do Glycine‐Induced Bent Structures Influence Hierarchical Nanostructuring and Suprastructural Handedness in Short Peptide Assembly?. Advanced Science. 12(15). e2413602–e2413602. 2 indexed citations
2.
Wang, Xuan, Haibing Meng, Jinliang Yuan, et al.. (2025). Interlayer Expanded MXene Film Cathodes with Rich Defects for Flexible 2‐Electron Oxalate‐Based Li–CO 2 Batteries: A New Path to Enhanced Energy Efficiency and Durability. Advanced Materials. 37(21). e2500064–e2500064. 5 indexed citations
3.
Shi, Lei, et al.. (2025). Geometric properties of the additional third-order transitions in the two-dimensional Potts model. Physical review. E. 111(5). 54128–54128.
4.
Wang, Yan, Yurong Zhao, Kai Qi, et al.. (2025). Chirality Inversion upon Coassembly of Stereoisomeric Short Peptides with Like-Handedness. ACS Nano. 19(17). 16930–16939. 3 indexed citations
5.
Ma, Xiaoyue, Kai Qi, Yawei Sun, et al.. (2025). pH‐Dependent Packing Mode Variations and Chirality Inversion in Short Peptide Self‐Assembly. Angewandte Chemie. 137(37).
6.
Ma, Xiaoyue, Kai Qi, Yawei Sun, et al.. (2025). pH‐Dependent Packing Mode Variations and Chirality Inversion in Short Peptide Self‐Assembly. Angewandte Chemie International Edition. 64(37). e202511407–e202511407.
7.
Shi, Lei, Xin Zhang, Xiang Li, et al.. (2025). Pseudo transitions in the finite-size Blume-capel model. Physics Letters A. 552. 130626–130626.
8.
He, Peng, Jun Chen, Yanhong Li, et al.. (2024). Multi-layer shearing induced high orientation of graphene oxide sheets towards high-performance macrostructures. Carbon. 226. 119179–119179. 11 indexed citations
9.
Qi, Kai, et al.. (2024). Heat transfer characteristics of solid-liquid interface on nanostructure surface under external electric field. Acta Physica Sinica. 73(15). 156801–156801. 2 indexed citations
10.
Wang, Yan, Kai Qi, Xiaofang Jiang, et al.. (2024). What happens when left meets right under equimolar and non-equimolar co-assembly of short peptide stereoisomers?. Journal of Colloid and Interface Science. 663. 287–294. 5 indexed citations
11.
Liu, Wei, Jincheng Wang, Fangfang Wang, Kai Qi, & Zengru Di. (2024). The precursor of the critical transitions in majority vote model with the noise feedback from the vote layer. Journal of Statistical Mechanics Theory and Experiment. 2024(8). 83402–83402. 3 indexed citations
12.
Wang, Fangfang, Wei Liu, Jun Ma, et al.. (2024). Exploring transitions in finite-size Potts model: comparative analysis using Wang–Landau sampling and parallel tempering. Journal of Statistical Mechanics Theory and Experiment. 2024(9). 93201–93201. 2 indexed citations
13.
Wang, Jiqian, Kai Qi, Xiaohan Li, et al.. (2023). Effect of Achiral Glycine Residue on the Handedness of Surfactant-Like Short Peptide Self-Assembly Nanofibers. Langmuir. 39(28). 9932–9941. 3 indexed citations
14.
Qi, Kai, Elmar Westphal, Gerhard Gompper, & Roland G. Winkler. (2022). Emergence of active turbulence in microswimmer suspensions due to active hydrodynamic stress and volume exclusion. Communications Physics. 5(1). 51 indexed citations
15.
Zhao, Yurong, Hao Qi, Limin Zhang, et al.. (2022). Exploiting terminal charged residue shift for wide bilayer nanotube assembly. Journal of Colloid and Interface Science. 629(Pt A). 1–10. 9 indexed citations
16.
Song, Xiaoxin, et al.. (2021). Anomaly Detection Aided Budget Online Classification for Imbalanced Data Streams. IEEE Intelligent Systems. 36(3). 14–22. 5 indexed citations
17.
Wang, Muhan, Yurong Zhao, Limin Zhang, et al.. (2021). Unexpected Role of Achiral Glycine in Determining the Suprastructural Handedness of Peptide Nanofibrils. ACS Nano. 15(6). 10328–10341. 45 indexed citations
18.
Jiang, Daqing, et al.. (2019). DYNAMICAL BEHAVIOR OF A STOCHASTIC FOOD CHAIN CHEMOSTAT MODEL WITH MONOD RESPONSE FUNCTIONS. Journal of Applied Analysis & Computation. 9(6). 2278–2294. 1 indexed citations
19.
Qi, Kai, et al.. (2017). Tissue regeneration: The crosstalk between mesenchymal stem cells and immune response. Cellular Immunology. 326. 86–93. 86 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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