Moore Z. Chen

492 total citations
9 papers, 390 citations indexed

About

Moore Z. Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Moore Z. Chen has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Biomaterials. Recurrent topics in Moore Z. Chen's work include RNA Interference and Gene Delivery (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Bacteriophages and microbial interactions (2 papers). Moore Z. Chen is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Bacteriophages and microbial interactions (2 papers). Moore Z. Chen collaborates with scholars based in Australia, United States and United Kingdom. Moore Z. Chen's co-authors include Angus P. R. Johnston, Daniel Yuen, Trevor A. Smith, Yuning Hong, Danny M. Hatters, Gavin E. Reid, Rebecca J. Wood, Leann Tilley, Xiaohong Xu and Ben Zhong Tang and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nano Letters.

In The Last Decade

Moore Z. Chen

9 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moore Z. Chen Australia	8	216	119	103	96	79	9	390
Katye M. Fichter United States	10	410 1.9×	113 0.9×	146 1.4×	85 0.9×	88 1.1×	11	593
Ronak Maheshwari United States	8	203 0.9×	193 1.6×	77 0.7×	119 1.2×	55 0.7×	9	426
Florence Sallas Ireland	10	275 1.3×	95 0.8×	52 0.5×	157 1.6×	65 0.8×	11	446
Constantin Hozsa Germany	9	548 2.5×	119 1.0×	124 1.2×	50 0.5×	112 1.4×	10	738
Stephan Tetter Switzerland	11	350 1.6×	92 0.8×	84 0.8×	35 0.4×	34 0.4×	13	561
Marco E. Favretto Netherlands	9	236 1.1×	150 1.3×	91 0.9×	45 0.5×	74 0.9×	13	456
Guillaume Molinard Switzerland	5	391 1.8×	143 1.2×	70 0.7×	177 1.8×	85 1.1×	5	654
Won Min Park United States	11	246 1.1×	134 1.1×	66 0.6×	69 0.7×	38 0.5×	15	402
Sarah E. Kiehna United States	6	318 1.5×	123 1.0×	58 0.6×	147 1.5×	58 0.7×	8	453
Ruth Donohue Ireland	10	318 1.5×	155 1.3×	100 1.0×	138 1.4×	107 1.4×	10	542

Countries citing papers authored by Moore Z. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Moore Z. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moore Z. Chen. 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 Moore Z. Chen. The network helps show where Moore Z. Chen may publish in the future.

Co-authorship network of co-authors of Moore Z. Chen

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

All Works

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9 of 9 papers shown

1.

Chen, Moore Z., et al.. (2021). Quantifying the Endosomal Escape of pH-Responsive Nanoparticles Using the Split Luciferase Endosomal Escape Quantification Assay. ACS Applied Materials & Interfaces. 14(3). 3653–3661. 39 indexed citations

2.

Yuen, Daniel, et al.. (2020). Engineering the Orientation, Density, and Flexibility of Single-Domain Antibodies on Nanoparticles To Improve Cell Targeting. ACS Applied Materials & Interfaces. 12(5). 5593–5600. 35 indexed citations

3.

Yuen, Daniel, et al.. (2019). Pointing in the Right Direction: Controlling the Orientation of Proteins on Nanoparticles Improves Targeting Efficiency. Nano Letters. 19(3). 1827–1831. 52 indexed citations

4.

Brendel, Johannes C., Joaquı́n Sanchis, Sylvain Catrouillet, et al.. (2018). Secondary Self‐Assembly of Supramolecular Nanotubes into Tubisomes and Their Activity on Cells. Angewandte Chemie. 130(51). 16920–16924. 8 indexed citations

5.

Brendel, Johannes C., Joaquı́n Sanchis, Sylvain Catrouillet, et al.. (2018). Secondary Self‐Assembly of Supramolecular Nanotubes into Tubisomes and Their Activity on Cells. Angewandte Chemie International Edition. 57(51). 16678–16682. 48 indexed citations

6.

Chen, Moore Z., Nagaraj S. Moily, Jessica L. Bridgford, et al.. (2017). A thiol probe for measuring unfolded protein load and proteostasis in cells. Nature Communications. 8(1). 474–474. 140 indexed citations

7.

Chen, Moore Z., Daniel Yuen, Shenglin Yang, et al.. (2017). pH-Responsive Transferrin-pHlexi Particles Capable of Targeting Cells in Vitro. ACS Macro Letters. 6(3). 315–320. 17 indexed citations

8.

Chen, Moore Z., Sue‐Ann Mok, Angelique R. Ormsby, Paul J. Muchowski, & Danny M. Hatters. (2017). N-Terminal Fragments of Huntingtin Longer than Residue 170 form Visible Aggregates Independently to Polyglutamine Expansion. Journal of Huntington s Disease. 6(1). 79–91. 6 indexed citations

9.

Soleimaninejad, Hamid, Moore Z. Chen, Xiaoding Lou, Trevor A. Smith, & Yuning Hong. (2017). Measuring macromolecular crowding in cells through fluorescence anisotropy imaging with an AIE fluorogen. Chemical Communications. 53(19). 2874–2877. 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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