Hye Rim Cho
- Biomedical Engineering top 0.2%
- Nanoplatforms for cancer theranostics 6
- Polymers and Plastics top 1%
- Bioengineering top 0.5%
- Cognitive Neuroscience top 2%
- Pharmaceutical Science top 1%
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- Glioma Diagnosis and Treatment 15
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- MRI in cancer diagnosis 11
- Advanced MRI Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 5
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- Neuroscience and Neural Engineering 6
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- Cancer, Hypoxia, and Metabolism 5
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- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Seung Hong ChoiTaeghwan HyeonDae‐Hyeong KimHyunjae LeeChangyeong SongNanshu LuLiu WangYoung Bum Lee
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Hye Rim Cho
47 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Biomedical Engineering 4.2k
- Polymers and Plastics 1.3k
- Bioengineering 385
- Cognitive Neuroscience 874
- Pharmaceutical Science 267
Countries citing papers authored by Hye Rim Cho
This map shows the geographic impact of Hye Rim Cho'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 Hye Rim Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye Rim Cho more than expected).
Fields of papers citing papers by Hye Rim Cho
This network shows the impact of papers produced by Hye Rim Cho. 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 Hye Rim Cho. The network helps show where Hye Rim Cho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hye Rim Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 73 | |
| 2 | 2023 | 1 | |
| 3 | 2019 | 10 | |
| 4 | 2019 | 57 | |
| 5 | 2018 | 7 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 77 | |
| 8 | 2017 | 28 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 37 | |
| 11 | 2015 | 159 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 6 | |
| 14 | 2014 | 15 | |
| 15 | Stretchable silicon nanoribbon electronics for skin prosthesisbreakdown → | 2014 | 1222 |
| 16 | 2012 | 17 | |
| 17 | 2011 | 26 | |
| 18 | 2011 | 2 | |
| 19 | 2011 | 6 | |
| 20 | 2010 | 48 |
About Hye Rim Cho
Hye Rim Cho is a scholar working on Genetics, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 5.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), MRI in cancer diagnosis (11 papers), Advanced MRI Techniques and Applications (7 papers), Neuroscience and Neural Engineering (6 papers), Nanoplatforms for cancer theranostics (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (5 papers). The work is most often cited by research in Biomedical Engineering (4.2k citations), Polymers and Plastics (1.3k citations) and Bioengineering (385 citations). Hye Rim Cho has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Seung Hong Choi, Taeghwan Hyeon, Dae‐Hyeong Kim, Hyunjae Lee, Changyeong Song, Nanshu Lu, Liu Wang, Young Bum Lee, Tae‐Kyu Choi and Roozbeh Ghaffari. Their work appears in journals such as Scientific Reports, PLoS ONE, Nature Communications, Advanced Functional Materials and ACS Nano.
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.