Keun‐A Chang

3.2k citations
76 papers · 2.5k · 1 hit paper · h-index 28

Impact in

Papers in

    • Alzheimer's disease research and treatments 34
    • S100 Proteins and Annexins 6
    • Pluripotent Stem Cells Research 6

Keun‐A Chang

74 papers receiving 2.4k citations

Keun‐A Chang's Hit Papers

GFAP as a Potential Biomarker for Alzheimer’s Disease: A Systematic Review and Meta-Analysis 2023 · 151 citations
1510+1+2Years since publication50100150

Peers

Keun‐A Chang
Comparison fields: 5 of 111
  • Biological Psychiatry 192
  • Neurology 415
  • Developmental Neuroscience 189
  • Physiology 954
  • Cellular and Molecular Neuroscience 425
Replace Katharina Schindowski with:
Katharina Schindowski Germany
Elisabete Ferreiro Portugal
Jian‐Zhi Wang China
Xiu‐Lan Sun China
Tina L. Beckett United States
Marc Gleichmann United States
Soraya L. Vallés Spain
Noritaka Nakamichi Japan
Fulvio Florenzano Italy
Rena Li United States
Keun‐A Chang relative to Katharina Schindowski Germany Katharina Schindowski's profile →
Citations per field
00.5×1.5×1.8×
Katharina Schindowski · 1×
Citations per year

Countries citing papers authored by Keun‐A Chang

Since Specialization
Citations

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

Fields of papers citing papers by Keun‐A Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003240
2 2007238
3 2006152
4
GFAP as a Potential Biomarker for Alzheimer’s Disease: A Systematic Review and Meta-Analysis
Hit paper breakdown →
2023151
5 200586
6 202183
7 202280
8 201077
9 200769
10 202069
11 201568
12 200064
13 200557
14 201557
15 201448
16 200347
17 200946
18 201245
19 202238
20 200734

About Keun‐A Chang

Keun‐A Chang is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology and Neurology, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (34 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Tryptophan and brain disorders (7 papers), S100 Proteins and Annexins (6 papers), Pluripotent Stem Cells Research (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Biological Psychiatry (192 citations), Neurology (415 citations), Developmental Neuroscience (189 citations), Physiology (954 citations) and Cellular and Molecular Neuroscience (425 citations). Keun‐A Chang has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Yoo‐Hun Suh, Ki Young Shin, Ka Young Kim, Seonghan Kim, Hye‐Sun Kim, Cheol Hyoung Park, Jean‐Pyo Lee, Jinho Kim, Eun‐Mee Kim and Young Hae Chong. Their work appears in journals such as International Journal of Molecular Sciences, Cells, The FASEB Journal, BMB Reports and PLoS ONE.

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.

Explore authors with similar magnitude of impact