Dongeun Huh
- Biomedical Engineering top 0.05%
- Molecular Biology top 2%
- Oncology top 1%
- Cellular and Molecular Neuroscience top 1%
- Surgery top 2%
- Co-authors
- Donald E. IngberGeraldine A. HamiltonBenjamin D. MatthewsAkiko MammotoMartin Montoya‐ZavalaHyun Jung KimAnthony BahinskiShuichi Takayama
- Topics
- 3D Printing in Biomedical Research (36 papers)Microfluidic and Bio-sensing Technologies (20 papers)Innovative Microfluidic and Catalytic Techniques Innovation (12 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Dongeun Huh
79 papers receiving 13.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Biomedical Engineering 10.5k
- Molecular Biology 2.9k
- Oncology 1.7k
- Cellular and Molecular Neuroscience 1.4k
- Surgery 1.3k
Countries citing papers authored by Dongeun Huh
This map shows the geographic impact of Dongeun Huh'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 Dongeun Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongeun Huh more than expected).
Fields of papers citing papers by Dongeun Huh
This network shows the impact of papers produced by Dongeun Huh. 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 Dongeun Huh. The network helps show where Dongeun Huh may publish in the future.
Co-authorship network of co-authors of Dongeun Huh
This figure shows the co-authorship network connecting the top 25 collaborators of Dongeun Huh. A scholar is included among the top collaborators of Dongeun Huh 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 Dongeun Huh. Dongeun Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 58 | |
| 6 | 106 | |
| 7 | 17 | |
| 8 | 24 | |
| 9 | 69 | |
| 10 | Human blinking ‘eye-on-a-chip’ | 18 |
| 11 | 6 | |
| 12 | 191 | |
| 13 | 29 | |
| 14 | Organs-on-chips at the frontiers of drug discoverybreakdown → | 885 |
| 15 | 87 | |
| 16 | Human gut-on-a-chip inhabited by microbial flora that experiences intestinal peristalsis-like motions and flowbreakdown → | 1294 |
| 17 | From 3D cell culture to organs-on-chipsbreakdown → | 1385 |
| 18 | 146 | |
| 19 | 419 | |
| 20 | 101 |
About Dongeun Huh
Dongeun Huh is a scholar working on Biomedical Engineering, Obstetrics and Gynecology and Cell Biology, having authored 82 papers that have together received 14.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (36 papers), Microfluidic and Bio-sensing Technologies (20 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (12 papers). The work is most often cited by research in Biomedical Engineering (10.5k citations), Cellular and Molecular Neuroscience (1.4k citations) and Cell Biology (1.2k citations). Dongeun Huh has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Donald E. Ingber, Geraldine A. Hamilton, Benjamin D. Matthews, Akiko Mammoto, Martin Montoya‐Zavala, Hyun Jung Kim, Anthony Bahinski, Shuichi Takayama, Eric W. Esch and Andrei Georgescu. Their work appears in journals such as Nature, Science and Cell.
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.