Dae‐Kwon Bae

422 citations
14 papers · 348 · h-index 11

Impact in

Papers in

Dae‐Kwon Bae

11 papers receiving 331 citations

Peers

Dae‐Kwon Bae
Comparison fields: 5 of 72
  • Developmental Neuroscience 70
  • Pharmacology 50
  • Neurology 39
  • Cellular and Molecular Neuroscience 60
  • Insect Science 40
Replace Yun‐Hui Yang with:
Yun‐Hui Yang South Korea
Jong Choon Kim South Korea
Goeun Yang South Korea
Gehan El–Akabawy Egypt
Nian Shi China
Sina Mojaverrostami Iran
Ender Erdoğan Türkiye
Li‐You Chen Taiwan
Orli Binyamin Israel
Sung Ig Cho South Korea
Dae‐Kwon Bae relative to Yun‐Hui Yang South Korea Yun‐Hui Yang's profile →
Citations per field
00.5×1.5×
Yun‐Hui Yang · 1×
Citations per year

Countries citing papers authored by Dae‐Kwon Bae

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Kwon Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae‐Kwon Bae. 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 Dae‐Kwon Bae. The network helps show where Dae‐Kwon Bae may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201290
2 201160
3 201147
4 201126
5 201122
6 201122
7 201120
8 201118
9 201616
10 201315
11 201110
12 20101
13
Four-Week Repeated-Dose Toxicity of a Magnolia Ethanol Extract in Rats
20101
14
Augmentation by Hypercholesterolemia of Amyloid β Peptide-Induced Learning and Memory Deficit
20090

About Dae‐Kwon Bae

Dae‐Kwon Bae is a scholar working on Neurology, Cellular and Molecular Neuroscience, Biomaterials, Surgery and Molecular Biology, having authored 14 papers that have together received 348 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurological Disease Mechanisms and Treatments (2 papers), Phytochemicals and Antioxidant Activities (2 papers), Silk-based biomaterials and applications (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Nerve injury and regeneration (1 paper), Insect Utilization and Effects (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (70 citations), Pharmacology (50 citations), Neurology (39 citations), Cellular and Molecular Neuroscience (60 citations) and Insect Science (40 citations). Dae‐Kwon Bae has collaborated with scholars based in South Korea, Canada and Japan. Frequent co-authors include Goeun Yang, Dongsun Park, Yun-Bae Kim, Yun‐Hui Yang, Seong Soo Joo, Tae Kyoung Kim, Seung Up Kim, Ehn‐Kyoung Choi, Jangbeen Kyung and Akinori Matsuo. Their work appears in journals such as Environmental Toxicology and Pharmacology, Experimental Neurology, Biomolecules & Therapeutics, European Journal of Nutrition and Food Science and Biotechnology.

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