Mi Young Han

1.2k citations
68 papers · 959 · h-index 17

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Kawasaki Disease and Coronary Complications 11
    • Cardiac Structural Anomalies and Repair 5

Mi Young Han

67 papers receiving 936 citations

Peers

Mi Young Han
Comparison fields: 5 of 104
  • Toxicology 22
  • Inorganic Chemistry 83
  • Oncology 144
  • Cell Biology 88
  • Molecular Biology 351
Replace Akiko Ishida with:
Akiko Ishida Japan
Hongjia Zhang China
Jin‐Mo Ku South Korea
Hongyan Qi China
Sang Yeul Lee South Korea
Clarisa Salado Spain
Simon Wing Fai Mok Macao
Martina Řezáčová Czechia
Hiroki Kakuta Japan
Mi Young Han relative to Akiko Ishida Japan Akiko Ishida's profile →
Citations per field
00.5×2.5×
Akiko Ishida · 1×
Citations per year

Countries citing papers authored by Mi Young Han

Since Specialization
Citations

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

Fields of papers citing papers by Mi Young Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199899
2 199874
3 200373
4 202044
5 200441
6 200239
7 200137
8 200034
9 201632
10 200827
11 200226
12
Adjuvant laboratory marker of Kawasaki disease; NT-pro-BNP or hs-CRP?
201126
13 200526
14 200124
15 200024
16 201218
17 199717
18 200116
19 199916
20 201316

About Mi Young Han

Mi Young Han is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 68 papers that have together received 959 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Cellular transport and secretion (8 papers), Coronary Artery Anomalies (7 papers), Cardiac Structural Anomalies and Repair (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Magnetism in coordination complexes (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Toxicology (22 citations), Inorganic Chemistry (83 citations), Oncology (144 citations), Cell Biology (88 citations) and Molecular Biology (351 citations). Mi Young Han has collaborated with scholars based in South Korea, United States and Denmark. Frequent co-authors include Byoung‐Mog Kwon, Myunghyun Paik Suh, Kil Sik Min, Kwang‐Hee Son, Kyung‐Soo Nam, Kyung Lim Yoon, Changbong Hyeon, Ji‐Hong Ha, Ha‐Won Jeong and Sung‐Ho Cha. Their work appears in journals such as Korean Journal of Pediatrics, BMB Reports, Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry Letters and IUBMB Life.

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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