Mark van Zee

414 total citations
9 papers, 303 citations indexed

About

Mark van Zee is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Physiology. According to data from OpenAlex, Mark van Zee has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Physiology. Recurrent topics in Mark van Zee's work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), 3D Printing in Biomedical Research (4 papers) and Electrowetting and Microfluidic Technologies (3 papers). Mark van Zee is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), 3D Printing in Biomedical Research (4 papers) and Electrowetting and Microfluidic Technologies (3 papers). Mark van Zee collaborates with scholars based in United States, Australia and Japan. Mark van Zee's co-authors include Dino Di Carlo, Keisuke Goda, Ming Li, Robert Damoiseaux, Carson T. Riche, Hector E. Muñoz, Sean D. Gallaher, Sabeeha Merchant, Maani M. Archang and Joseph de Rutte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Analytical Chemistry.

In The Last Decade

Mark van Zee

9 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark van Zee United States	7	228	77	74	45	32	9	303
Müge Anıl-İnevi Türkiye	11	306 1.3×	66 0.9×	28 0.4×	68 1.5×	10 0.3×	23	413
Ahmet Erten Türkiye	9	187 0.8×	29 0.4×	85 1.1×	13 0.3×	18 0.6×	24	298
K. Kirk Shung United States	13	231 1.0×	81 1.1×	26 0.4×	27 0.6×	32 1.0×	22	383
Claudia Berdugo United States	4	179 0.8×	172 2.2×	29 0.4×	11 0.2×	4 0.1×	12	285
Bagrat Grigoryan Armenia	8	78 0.3×	57 0.7×	54 0.7×	18 0.4×	31 1.0×	36	298
Dongya Cui China	5	209 0.9×	126 1.6×	63 0.9×	10 0.2×	17 0.5×	10	366
Chayakorn Petchakup Singapore	9	421 1.8×	99 1.3×	143 1.9×	8 0.2×	8 0.3×	13	486
Rogier M. Schoeman United States	7	349 1.5×	64 0.8×	128 1.7×	3 0.1×	58 1.8×	8	495
Hoyoung Yun South Korea	10	293 1.3×	47 0.6×	90 1.2×	5 0.1×	8 0.3×	18	337

Countries citing papers authored by Mark van Zee

Since Specialization

Citations

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

Fields of papers citing papers by Mark van Zee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark van Zee. 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 Mark van Zee. The network helps show where Mark van Zee may publish in the future.

Co-authorship network of co-authors of Mark van Zee

This figure shows the co-authorship network connecting the top 25 collaborators of Mark van Zee. A scholar is included among the top collaborators of Mark van Zee 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 Mark van Zee. Mark van Zee 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

Ghosh, Rajesh, Mark van Zee, Michael Mellody, et al.. (2024). Lab on a Particle Technologies. Analytical Chemistry. 96(20). 7817–7839. 10 indexed citations

Zee, Mark van, et al.. (2023). PicoShells: Hollow Hydrogel Microparticles for High-Throughput Screening of Clonal Libraries. Methods in molecular biology. 2689. 53–64. 1 indexed citations

Ng, Simon K. K., et al.. (2022). Enabling Clonal Analyses of Yeast in Outer Space by Encapsulation and Desiccation in Hollow Microparticles. Life. 12(8). 1168–1168. 4 indexed citations

Zee, Mark van, Joseph de Rutte, Randor Radakovits, et al.. (2022). High-throughput selection of cells based on accumulated growth and division using PicoShell particles. Proceedings of the National Academy of Sciences. 119(4). 22 indexed citations

Rutte, Joseph de, Robert Dimatteo, Maani M. Archang, et al.. (2022). Suspendable Hydrogel Nanovials for Massively Parallel Single-Cell Functional Analysis and Sorting. ACS Nano. 16(5). 7242–7257. 57 indexed citations

Muñoz, Hector E., Carson T. Riche, Mark van Zee, et al.. (2020). Fractal LAMP: Label-Free Analysis of Fractal Precipitate for Digital Loop-Mediated Isothermal Nucleic Acid Amplification. ACS Sensors. 5(2). 385–394. 35 indexed citations

Li, Ming, Mark van Zee, Carson T. Riche, et al.. (2018). A Gelatin Microdroplet Platform for High‐Throughput Sorting of Hyperproducing Single‐Cell‐Derived Microalgal Clones. Small. 14(44). e1803315–e1803315. 58 indexed citations

Li, Ming, Mark van Zee, Keisuke Goda, & Dino Di Carlo. (2018). Size-based sorting of hydrogel droplets using inertial microfluidics. Lab on a Chip. 18(17). 2575–2582. 69 indexed citations

Jude, Joseph A., Gaoyuan Cao, Deepa Rastogi, et al.. (2018). Obesity increases airway smooth muscle responses to contractile agonists. American Journal of Physiology-Lung Cellular and Molecular Physiology. 315(5). L673–L681. 47 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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