Kang Ko

637 citations
23 papers · 390 · h-index 12

Impact in

    • Dementia and Cognitive Impairment Research
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Kang Ko

22 papers receiving 382 citations

Peers

Kang Ko
Comparison fields: 5 of 82
  • Psychiatry and Mental health 166
  • Neurology 62
  • Physiology 186
  • Biological Psychiatry 14
  • Nephrology 19
Replace Laura L. Ekblad with:
Laura L. Ekblad Finland
Palchamy Elango United States
Charles DeCarli United States
Joan Jiménez-Baladó Spain
Zhongwu Sun China
Paula S. Koekkoek Netherlands
Antoine Garnier‐Crussard France
Christopher Ngai United States
Young Kyoung Jang South Korea
Marta Milà‐Alomà Spain
Kang Ko relative to Laura L. Ekblad Finland Laura L. Ekblad's profile →
Citations per field
00.5×1.7×
Laura L. Ekblad · 1×
Citations per year

Countries citing papers authored by Kang Ko

Since Specialization
Citations

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

Fields of papers citing papers by Kang Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang Ko. 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 Kang Ko. The network helps show where Kang Ko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018127
2 202031
3 201830
4 202027
5 201725
6 202021
7 201818
8 202117
9 202017
10 201215
11 201814
12 202112
13 201910
14 20219
15 20194
16 20024
17
Distinct Clinical Characteristics Depending on Cerebral Amyloid Positivity in Patients with Alzheimer Disease Dementia
20162
18 20252
19 20122
20 20211

About Kang Ko

Kang Ko is a scholar working on Psychiatry and Mental health, Physiology, Neurology, Surgery and Health, Toxicology and Mutagenesis, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (13 papers), Alzheimer's disease research and treatments (8 papers), Neurological Disease Mechanisms and Treatments (7 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Alcoholism and Thiamine Deficiency (2 papers), Air Quality Monitoring and Forecasting (2 papers), Air Quality and Health Impacts (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (166 citations), Neurology (62 citations), Physiology (186 citations), Biological Psychiatry (14 citations) and Nephrology (19 citations). Kang Ko has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Min Soo Byun, Dong Young Lee, Dahyun Yi, So Yeon Jeon, Yu Kyeong Kim, Yun‐Sang Lee, Jun‐Young Lee, Jun Ho Lee, Sun-Ho Han and Jong‐Chan Park. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Aging Neuroscience, Journal of Alzheimer s Disease, Neurobiology of Aging and PLoS 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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