Chia-Kuei Mo

1.3k total citations
3 papers, 33 citations indexed

About

Chia-Kuei Mo is a scholar working on Molecular Biology, Biomaterials and Surfaces, Coatings and Films. According to data from OpenAlex, Chia-Kuei Mo has authored 3 papers receiving a total of 33 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Surfaces, Coatings and Films. Recurrent topics in Chia-Kuei Mo's work include Diatoms and Algae Research (2 papers), Polymer Surface Interaction Studies (2 papers) and Calcium Carbonate Crystallization and Inhibition (1 paper). Chia-Kuei Mo is often cited by papers focused on Diatoms and Algae Research (2 papers), Polymer Surface Interaction Studies (2 papers) and Calcium Carbonate Crystallization and Inhibition (1 paper). Chia-Kuei Mo collaborates with scholars based in United States and Spain. Chia-Kuei Mo's co-authors include Nick J. Carroll, Ashutosh Chilkoti, Lingying Li, Gabriel P. López, Nan K. Li, Qing Tu, Yaroslava G. Yingling, Stefan Zauscher, Verónica Dávalos and Collin Tokheim and has published in prestigious journals such as Biomacromolecules, Cell Reports and Biointerphases.

In The Last Decade

Chia-Kuei Mo

3 papers receiving 33 citations

Peers

Chia-Kuei Mo
Sean Smith United States
Andrew P. Platt United States
Da Chen Emily Koo United States
S. E. Zuraw United States
Takayuki Ogura Japan
Jiangshan Cong China
Christy J. Cho United States
Stanisław Wilk Poland
A. Keith United Kingdom
Sean Smith United States
Chia-Kuei Mo
Citations per year, relative to Chia-Kuei Mo Chia-Kuei Mo (= 1×) peers Sean Smith

Countries citing papers authored by Chia-Kuei Mo

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Kuei Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia-Kuei Mo

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

All Works

3 of 3 papers shown
1.
Musulén, Eva, Rossana Lazcano, Chia-Kuei Mo, et al.. (2025). The spatial landscape of cancer hallmarks reveals patterns of tumor ecological dynamics and drug sensitivity. Cell Reports. 44(2). 115229–115229. 9 indexed citations
2.
Li, Lingying, Nan K. Li, Qing Tu, et al.. (2017). Functional Modification of Silica through Enhanced Adsorption of Elastin-Like Polypeptide Block Copolymers. Biomacromolecules. 19(2). 298–306. 14 indexed citations
3.
Li, Lingying, Chia-Kuei Mo, Ashutosh Chilkoti, Gabriel P. López, & Nick J. Carroll. (2016). Creating cellular patterns using genetically engineered, gold- and cell-binding polypeptides. Biointerphases. 11(2). 21009–21009. 10 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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2026