Mi Hee Cho

1.4k citations
51 papers · 987 · h-index 17

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties
    • Hydrogels: synthesis, properties, applications

Papers in

    • RNA Interference and Gene Delivery 4
    • Metabolism, Diabetes, and Cancer 3
    • Smoking Behavior and Cessation 5

Mi Hee Cho

48 papers receiving 969 citations

Peers

Mi Hee Cho
Comparison fields: 5 of 109
  • Biomaterials 197
  • Molecular Medicine 54
  • Family Practice 13
  • Neuropsychology and Physiological Psychology 9
  • Urology 32
Replace Samuel Knoedler with:
Samuel Knoedler United States
Nataša Miljković Serbia
Elif Bilgiç Canada
Pei Li China
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Huading Lu China
Sung Yun Lee South Korea
Julia Meyer United States
Mi Hee Cho relative to Samuel Knoedler United States Samuel Knoedler's profile →
Citations per field
00.5×50×100×146×
Samuel Knoedler · 1×
Citations per year

Countries citing papers authored by Mi Hee Cho

Since Specialization
Citations

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

Fields of papers citing papers by Mi Hee Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi Hee 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 Mi Hee Cho. The network helps show where Mi Hee Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007172
2 202168
3 202065
4 200756
5 200855
6 201855
7 200844
8 202037
9 202336
10 202229
11 202129
12 200728
13 200728
14 202021
15 202320
16 201918
17 201818
18 201916
19 202116
20 201616

About Mi Hee Cho

Mi Hee Cho is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Surgery and Public Health, Environmental and Occupational Health, having authored 51 papers that have together received 987 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (5 papers), RNA Interference and Gene Delivery (4 papers), Cancer, Lipids, and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Mesenchymal stem cell research (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Biomaterials (197 citations), Molecular Medicine (54 citations), Family Practice (13 citations), Neuropsychology and Physiological Psychology (9 citations) and Urology (32 citations). Mi Hee Cho has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Dong Wook Shin, Moon Suk Kim, Hai Bang Lee, Gilson Khang, Hyun Hee Ahn, Yu Na Shin, Su‐Min Jeong, Soon Hee Kim, Hye Yeon Koo and Kyungdo Han. Their work appears in journals such as Scientific Reports, Cancer Research and Treatment, PLoS ONE, Lara D. Veeken and Korean Journal of Family Medicine.

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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