Suji Choi

6.0k citations
37 papers · 5.0k indexed · 7 hit papers · h-index 20

Suji Choi

33 papers receiving 4.9k citations

Hit Papers

Fibre-infused gel sc...1252014202620182022250500750

Peers

Suji Choi
Comparison fields: 5 of 132
  • Polymers and Plastics 1.9k
  • Biomedical Engineering 4.1k
  • Cognitive Neuroscience 1.1k
  • Molecular Medicine 199
  • Biomaterials 437
Replace Vivian R. Feig with:
Vivian R. Feig United States
Shuo Li United States
Jungmok Seo South Korea
Yu Jun Tan Singapore
Ji Hoon Kim South Korea
Michael Drack Austria
Jaewan Mun United States
Xuecheng Qu China
Suji Choi relative to Vivian R. Feig United States Vivian R. Feig's profile →
Citations per field
00.5×10×15×20×23.7×
Vivian R. Feig · 1×
Citations per year

Countries citing papers authored by Suji Choi

Since Specialization
Citations

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

Fields of papers citing papers by Suji Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Suji Choi, 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 Suji Choi Line = papers co-authored together Suji Choi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 202414
4
Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventriclesbreakdown →
2023125
5 202337
6 202310
7 202364
8 20191
9
High-performance stretchable conductive nanocomposites: materials, processes, and device applicationsbreakdown →
2018505
10
Highly conductive, stretchable and biocompatible Ag–Au core–sheath nanowire composite for wearable and implantable bioelectronicsbreakdown →
2018836
11 2017226
12 201711
13 20150
14 201571
15
Transparent and Stretchable Interactive Human Machine Interface Based on Patterned Graphene Heterostructuresbreakdown →
2014511
16 20061
17 20065
18 20043
19 200319
20 19975

About Suji Choi

Suji Choi is a scholar working on Molecular Medicine, Polymers and Plastics and Biomaterials, having authored 37 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (9 papers), Conducting polymers and applications (8 papers), Hydrogels: synthesis, properties, applications (6 papers), Advanced Materials and Mechanics (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Building Energy and Comfort Optimization (4 papers), Urban Heat Island Mitigation (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Polymers and Plastics (1.9k citations), Biomedical Engineering (4.1k citations) and Cognitive Neuroscience (1.1k citations). Suji Choi has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Dae‐Hyeong Kim, Taeghwan Hyeon, Hyunjae Lee, Roozbeh Ghaffari, Jaemin Kim, Ji Hoon Kim, Sang Ihn Han, Jaeyun Kim, Young Bum Lee and Hye Jin Hwang. Their work appears in journals such as Science, Chemical Society Reviews and Advanced Materials.

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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