Mi‐Sook Chang

2.0k citations
39 papers · 922 · h-index 18

Impact in

Papers in

    • Pluripotent Stem Cells Research 6
    • Advanced biosensing and bioanalysis techniques 3
    • Mesenchymal stem cell research 11

Mi‐Sook Chang

39 papers receiving 906 citations

Peers

Mi‐Sook Chang
Comparison fields: 5 of 102
  • Developmental Neuroscience 107
  • Genetics 209
  • Cellular and Molecular Neuroscience 257
  • Neurology 65
  • Behavioral Neuroscience 23
Replace Guofeng Bao with:
Guofeng Bao China
Mehdi Kadivar Iran
Vincenzo Benagiano Italy
Anand Krishnan Canada
Gaskon Ibarretxe Spain
Yunqian Guan China
Elena Redondo‐Castro Spain
Elena S. Pak United States
Francesca Wannenes Italy
Shimon Lecht Israel
Mi‐Sook Chang relative to Guofeng Bao China Guofeng Bao's profile →
Citations per field
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Guofeng Bao · 1×
Citations per year

Countries citing papers authored by Mi‐Sook Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mi‐Sook Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi‐Sook Chang. 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‐Sook Chang. The network helps show where Mi‐Sook Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201094
2 202171
3 201665
4 200761
5 200455
6 200255
7 200051
8 200042
9 200940
10 201236
11 201335
12 201335
13 200931
14 201729
15 201525
16 201921
17 201721
18 201419
19 201315
20 202314

About Mi‐Sook Chang

Mi‐Sook Chang is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 39 papers that have together received 922 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (11 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (6 papers), Nerve injury and regeneration (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Biosensors and Analytical Detection (3 papers), Antimicrobial Peptides and Activities (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Genetics (209 citations), Cellular and Molecular Neuroscience (257 citations), Neurology (65 citations) and Behavioral Neuroscience (23 citations). Mi‐Sook Chang has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hwan‐Woo Park, Heekyung Jung, Hyo‐Jin Jeon, Myung‐Suk Chun, Joo‐Hyun Shin, Seong‐Ho Koh, Seung‐Pyo Lee, Moses V. Chao, Juan Carlos Arévalo and Yoon Kyung Choi. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Molecules and Cells, The Analyst, International Journal of Molecular Medicine and Scientific Reports.

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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