Kai Mo

876 total citations · 1 hit paper
8 papers, 743 citations indexed

About

Kai Mo is a scholar working on Mechanical Engineering, Inorganic Chemistry and Water Science and Technology. According to data from OpenAlex, Kai Mo has authored 8 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 6 papers in Inorganic Chemistry and 3 papers in Water Science and Technology. Recurrent topics in Kai Mo's work include Membrane Separation and Gas Transport (6 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers) and Membrane Separation Technologies (3 papers). Kai Mo is often cited by papers focused on Membrane Separation and Gas Transport (6 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers) and Membrane Separation Technologies (3 papers). Kai Mo collaborates with scholars based in China, Germany and United States. Kai Mo's co-authors include Yanshuo Li, Hua Jin, Qiang Ma, Armin Feldhoff, Fusheng Pan, Zhongyi Jiang, Xingzhong Cao, Yuhan Wang, Fei Wen and Jinzhao Wang and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Kai Mo

8 papers receiving 737 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A MOF Glass Membrane for Gas Separation

2020 450 citations Yuhan Wang, Hua Jin et al. Angewandte Chemie International Edition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Mo China	8	502	420	395	162	107	8	743
Hae-Kwon Jeong United States	9	538 1.1×	413 1.0×	430 1.1×	134 0.8×	113 1.1×	11	772
Chun-Yi Sung United States	8	408 0.8×	517 1.2×	307 0.8×	78 0.5×	104 1.0×	10	740
Meera Shete United States	11	369 0.7×	331 0.8×	211 0.5×	47 0.3×	86 0.8×	11	576
Alexander John Cruz Belgium	13	451 0.9×	465 1.1×	89 0.2×	46 0.3×	273 2.6×	18	770
P. Hacarlioglu United States	11	126 0.3×	562 1.3×	530 1.3×	89 0.5×	140 1.3×	12	918
Ram Kumar India	14	340 0.7×	619 1.5×	178 0.5×	50 0.3×	215 2.0×	27	913
R. Le Van Mao Canada	19	544 1.1×	470 1.1×	413 1.0×	42 0.3×	39 0.4×	52	936
Mark Lovallo United States	10	761 1.5×	653 1.6×	292 0.7×	28 0.2×	56 0.5×	11	923
Sheima J. Khatib United States	16	361 0.7×	836 2.0×	257 0.7×	25 0.2×	138 1.3×	25	1.1k

Countries citing papers authored by Kai Mo

Since Specialization

Citations

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

Fields of papers citing papers by Kai Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Mo

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

All Works

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8 of 8 papers shown

1.

Mo, Kai, et al.. (2025). Engineered zwitterionic hydrogel with extreme environment resilience: High ionic conductivity, subzero tolerance, and potential for multimodal sensing and optical applications across devices. Chemical Engineering Journal. 510. 161390–161390. 7 indexed citations

2.

Mo, Kai, Xi Liang, Ying Yang, et al.. (2024). High Ion-Conductive Hydrogel: Soft, Elastic, with Wide Humidity Tolerance and Long-Term Stability. ACS Applied Materials & Interfaces. 16(44). 60992–61003. 14 indexed citations

3.

Ma, Qiang, Xu Wang, Sheng‐Wei Feng, et al.. (2021). Effect of Activation Process on the Performance of ZIF‐8 Membrane for Propylene/Propane Separation. Chemie Ingenieur Technik. 94(1-2). 166–176. 7 indexed citations

4.

Wang, Yuhan, Hua Jin, Qiang Ma, et al.. (2020). A MOF Glass Membrane for Gas Separation. Angewandte Chemie International Edition. 59(11). 4365–4369. 450 indexed citations breakdown →

5.

Wang, Yuhan, Hua Jin, Qiang Ma, et al.. (2020). A MOF Glass Membrane for Gas Separation. Angewandte Chemie. 132(11). 4395–4399. 90 indexed citations

6.

Ma, Qiang, Kai Mo, Shushu Gao, et al.. (2020). Ultrafast Semi‐Solid Processing of Highly Durable ZIF‐8 Membranes for Propylene/Propane Separation. Angewandte Chemie International Edition. 59(49). 21909–21914. 100 indexed citations

7.

Ma, Qiang, Kai Mo, Shushu Gao, et al.. (2020). Ultrafast Semi‐Solid Processing of Highly Durable ZIF‐8 Membranes for Propylene/Propane Separation. Angewandte Chemie. 132(49). 22093–22098. 21 indexed citations

8.

Jin, Hua, Kai Mo, Fei Wen, & Yanshuo Li. (2019). Preparation and pervaporation performance of CAU-10-H MOF membranes. Journal of Membrane Science. 577. 129–136. 54 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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