Matthew Park

23 papers receiving 738 citations

Peers

Matthew Park
Comparison fields: 5 of 89
  • Biomaterials 172
  • Surfaces, Coatings and Films 91
  • Cellular and Molecular Neuroscience 235
  • Biomedical Engineering 354
  • Structural Biology 11
Replace Raya Sorkin with:
Raya Sorkin Israel
Paolo Faraci Italy
Heng Huang China
Carlos C. Co United States
Guillaume Lamour France
Jennifer E. Gagner United States
Catalina von Bilderling Argentina
Mathieu Morel France
Barbara Sorce Italy
Pei‐Yu Chiou United States
Matthew Park relative to Raya Sorkin Israel Raya Sorkin's profile →
Citations per field
00.5×2.9×
Raya Sorkin · 1×
Citations per year

Countries citing papers authored by Matthew Park

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Park Line = papers co-authored together Matthew Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006108
2 201785
3 201785
4 201375
5 201467
6 201555
7 201447
8 201345
9 201534
10 201533
11 200730
12 201417
13 201714
14 201712
15 201310
16 20176
17 20186
18 20146
19 20184
20 20212

About Matthew Park

Matthew Park is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Biomaterials, having authored 24 papers that have together received 746 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (10 papers), 3D Printing in Biomedical Research (10 papers), Cellular Mechanics and Interactions (5 papers), Force Microscopy Techniques and Applications (2 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Polymer Surface Interaction Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biomaterials (172 citations), Surfaces, Coatings and Films (91 citations), Cellular and Molecular Neuroscience (235 citations), Biomedical Engineering (354 citations) and Structural Biology (11 citations). Matthew Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Insung S. Choi, Daewha Hong, Kyungtae Kang, Tomasz Kowalewski, Justin Legleiter, Mi‐Hee Kim, Juno Lee, Sung Ho Yang, Eun Hyea Ko and Hyeoncheol Cho. Their work appears in journals such as Advanced Healthcare Materials, Angewandte Chemie International Edition, Small, ACS Chemical Neuroscience and Chemistry - An Asian Journal.

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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