Misun Cha
Impact in
- Pollution top 10%
- Microbial bioremediation and biosurfactants
- Biomaterials top 10%
Papers in
-
- 3D Printing in Biomedical Research 7
- Bone Tissue Engineering Materials 6
- Microfluidic and Bio-sensing Technologies 4
- Graphene and Nanomaterials Applications 3
- Nanopore and Nanochannel Transport Studies 3
-
- Carbon Nanotubes in Composites 3
- Co-authors
- Moon‐Soo Heo (1 shared paper)Hong‐Joo Son (1 shared paper)Geuntae Park (1 shared paper)Junghoon Lee (11 shared papers)Mia Kim (1 shared paper)Naeun Lee (1 shared paper)Min-Ju Kim (1 shared paper)Jae Hyup Lee (8 shared papers)
- Journals
- Lab on a Chip (2 papers)Bioresource Technology (2 papers)International Journal of Bioprinting (1 paper)Biomedical Materials (1 paper)Chemical Communications (1 paper)
- Partner nations
- South KoreaChinaEthiopia
In The Last Decade
Misun Cha
33 papers receiving 745 citations
Peers
Comparison fields: 5 of 97
- Pollution 110
- Biomaterials 95
- Biomedical Engineering 305
- Plant Science 196
- Bioengineering 25
Countries citing papers authored by Misun Cha
This map shows the geographic impact of Misun Cha'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 Misun Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misun Cha more than expected).
Fields of papers citing papers by Misun Cha
This network shows the impact of papers produced by Misun Cha. 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 Misun Cha. The network helps show where Misun Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Misun Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 235 | |
| 2 | 2007 | 98 | |
| 3 | 2007 | 67 | |
| 4 | 2008 | 46 | |
| 5 | 2012 | 44 | |
| 6 | 2020 | 42 | |
| 7 | 2009 | 37 | |
| 8 | 2021 | 22 | |
| 9 | 2008 | 20 | |
| 10 | 2012 | 17 | |
| 11 | 2017 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2013 | 15 | |
| 14 | 2018 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2009 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2011 | 7 |
About Misun Cha
Misun Cha is a scholar working on Biomedical Engineering, Materials Chemistry, Biomaterials, Electrical and Electronic Engineering and Surgery, having authored 36 papers that have together received 781 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Bone Tissue Engineering Materials (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Graphene and Nanomaterials Applications (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Mechanical and Optical Resonators (3 papers) and Carbon Nanotubes in Composites (3 papers). The work is most often cited by research in Pollution (110 citations), Biomaterials (95 citations), Biomedical Engineering (305 citations), Plant Science (196 citations) and Bioengineering (25 citations). Misun Cha has collaborated with scholars based in South Korea, China and Ethiopia. Frequent co-authors include Moon‐Soo Heo, Hong‐Joo Son, Geuntae Park, Junghoon Lee, Mia Kim, Naeun Lee, Min-Ju Kim, Jae Hyup Lee, Sang-Joon Lee and Hakgeun Jeong. Their work appears in journals such as Lab on a Chip, Bioresource Technology, International Journal of Bioprinting, Biomedical Materials and Chemical Communications.
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.