Dae-Kwang Kim

50 papers receiving 612 citations

Peers

Dae-Kwang Kim
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 107
  • Rehabilitation 39
  • Biological Psychiatry 14
  • Endocrine and Autonomic Systems 33
  • Radiology, Nuclear Medicine and Imaging 73
Replace Susanne Müller with:
Susanne Müller Germany
Paul Sharp United Kingdom
Alba Vieites‐Prado Spain
Changhong Tan China
Ian Fyfe United States
Yabing Gao China
Matthew O. Barrett United States
Karine Angioï-Duprez France
Matthias Richter Germany
Dae-Kwang Kim relative to Susanne Müller Germany Susanne Müller's profile →
Citations per field
00.5×1.6×
Susanne Müller · 1×
Citations per year

Countries citing papers authored by Dae-Kwang Kim

Since Specialization
Citations

This map shows the geographic impact of Dae-Kwang 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-Kwang 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-Kwang Kim more than expected).

Fields of papers citing papers by Dae-Kwang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200366
2 201963
3 200556
4 201534
5 201133
6 200532
7 202029
8 201022
9 201822
10 200821
11 201221
12 201020
13 200520
14 201816
15 201113
16 201813
17 201213
18 201111
19 200910
20 20139

About Dae-Kwang Kim

Dae-Kwang Kim is a scholar working on Molecular Biology, Surgery, Electrical and Electronic Engineering, Cancer Research and Pathology and Forensic Medicine, having authored 56 papers that have together received 632 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (4 papers), Genetic factors in colorectal cancer (4 papers), Circadian rhythm and melatonin (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Cancer Genomics and Diagnostics (4 papers), Non-Destructive Testing Techniques (4 papers), Mitochondrial Function and Pathology (3 papers) and Shoulder Injury and Treatment (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (107 citations), Rehabilitation (39 citations), Biological Psychiatry (14 citations), Endocrine and Autonomic Systems (33 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Dae-Kwang Kim has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Jae‐Ho Lee, In-Jang Choi, Jong-Ha Lee, Jin-Chul Heo, Seong Ho Kang, Ji Ae Park, Yong Won Cho, Gholam K. Motamedi, Dae‐Kyu Song and Rizwan Alam. Their work appears in journals such as Journal of Korean Medical Science, Scientific Reports, International Journal of Medical Sciences, PLoS ONE and Korean Journal of Radiology.

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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