Dae-Young Kim

663 citations
61 papers · 502 indexed · h-index 13

Dae-Young Kim

55 papers receiving 477 citations

Peers

Dae-Young Kim
Comparison fields: 5 of 111
  • Developmental Neuroscience 40
  • Rehabilitation 43
  • Complementary and alternative medicine 37
  • Biological Psychiatry 11
  • Neurology 33
Replace Sunghwun Kang with:
Sunghwun Kang South Korea
Aitor Carretero Spain
Ufuk Ergün Türkiye
Aaron L. Slusher United States
Cajsa Tonoli Belgium
Eduardo Iglesias‐Gutiérrez Spain
Jinhee Woo South Korea
H. Gökbel Türkiye
Adriana Machado Issy Brazil
Sarah M. Abshire United States
Dae-Young Kim relative to Sunghwun Kang South Korea Sunghwun Kang's profile →
Citations per field
00.5×1.5×2.1×
Sunghwun Kang · 1×
Citations per year

Countries citing papers authored by Dae-Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Young Kim. 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-Young Kim. The network helps show where Dae-Young Kim may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20231
5 20233
6 20230
7 202210
8 20221
9 20220
10 20220
11 20217
12 20211
13 20213
14 201820
15 20188
16 20184
17
Effects of Cold Pretreatment and Medium Composition on Anther Culture Initiation in Strawberry
20111
18
Effects of pollen viability and pistil receptivity on seed set for artificial pollination in strawberry.
20091
19
Classification of strawberry germplasms based on horticultural traits and principal component analysis.
20097
20 199946

About Dae-Young Kim

Dae-Young Kim is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Complementary and alternative medicine, having authored 61 papers that have together received 502 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (11 papers), Berry genetics and cultivation research (8 papers), Cardiovascular Function and Risk Factors (8 papers), Cardiac Structural Anomalies and Repair (6 papers), Agriculture, Soil, Plant Science (5 papers), Plant Disease Management Techniques (5 papers), Cardiovascular and exercise physiology (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). The work is most often cited by research in Developmental Neuroscience (40 citations), Rehabilitation (43 citations) and Complementary and alternative medicine (37 citations). Dae-Young Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sun‐Young Jung, Dong‐Je Kim, Young Ho Lee, Kyoung Sik Cho, Ki-Jeong Kim, Shi‐Joon Yoo, Chang‐Ju Kim, Il‐Gyu Ko, Young-Je Sim and Sam‐Jun Lee. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Nanoscience and Nanotechnology, Journal of the American Society of Echocardiography, Journal of Exercise Rehabilitation 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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