Dong Soo Kang
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Neurology top 10%
- Immunology
- Co-authors
- Jeffrey BenovicXufan TianL.M. Fredrik Leeb-LundbergMin Ho KongJung-Hee KimManojkumar A. PuthenveeduJohn C. WilliamsMark von Zastrow
- Topics
- Receptor Mechanisms and Signaling (8 papers)GaN-based semiconductor devices and materials (6 papers)Spinal Fractures and Fixation Techniques (5 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Dong Soo Kang
43 papers receiving 956 citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 603
- Cellular and Molecular Neuroscience 316
- Genetics 112
- Neurology 107
- Immunology 106
Countries citing papers authored by Dong Soo Kang
This map shows the geographic impact of Dong Soo Kang'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 Dong Soo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Soo Kang more than expected).
Fields of papers citing papers by Dong Soo Kang
This network shows the impact of papers produced by Dong Soo Kang. 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 Dong Soo Kang. The network helps show where Dong Soo Kang may publish in the future.
Co-authorship network of co-authors of Dong Soo Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Dong Soo Kang. A scholar is included among the top collaborators of Dong Soo Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong Soo Kang. Dong Soo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 96 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 159 | |
| 8 | 79 | |
| 9 | 24 | |
| 10 | 60 | |
| 11 | 97 | |
| 12 | Isoelectronic In Doping in p-GaN and its Effects on InGaN Light-Emitting Diodes | 1 |
| 13 | 21 | |
| 14 | 33 | |
| 15 | Structural and Optical Properties of Trapezoid InGaN/GaN Multiple Quantum Wells in the Active Layer of Light Emitting Diodes | 1 |
| 16 | Enhanced I-V characteristics in InGaN/GaN multi-quantum-well light-emitting diode with an n-type interface layer | 1 |
| 17 | Improved Quality of Life after Percutaneous Vertebroplasty for Osteoporotic Vertebral Body Compression Fractures in the Elderly. | 4 |
| 18 | 30 | |
| 19 | 62 | |
| 20 | Basic Estimation of Intracerebral Reference Points: Data Analysis from 169 Korean People. | 1 |
About Dong Soo Kang
Dong Soo Kang is a scholar working on Fuel Technology, Condensed Matter Physics and Genetics, having authored 44 papers that have together received 968 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), GaN-based semiconductor devices and materials (6 papers) and Spinal Fractures and Fixation Techniques (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (316 citations), Genetics (112 citations) and Molecular Biology (603 citations). Dong Soo Kang has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Jeffrey Benovic, Xufan Tian, L.M. Fredrik Leeb-Lundberg, Min Ho Kong, Jung-Hee Kim, Manojkumar A. Puthenveedu, John C. Williams, Mark von Zastrow, Matthias Mörgelin and Jin Hwan Cheong. Their work appears in journals such as Journal of Biological Chemistry, The EMBO Journal and Biochemistry.
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.