Dae‐Seong Kim
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Materials Chemistry
- Co-authors
- Jin‐Hong ShinYoung‐Chul ChoiHyang-Sook KimKyu-Hyun ParkSun‐Young KimArash Minai‐TehraniSoon‐Kyung HwangMyung‐Haing Cho
- Topics
- Muscle Physiology and Disorders (12 papers)Neurogenetic and Muscular Disorders Research (9 papers)Genetic Neurodegenerative Diseases (7 papers)
- Partner nations
- South KoreaFinlandSudan
In The Last Decade
Dae‐Seong Kim
49 papers receiving 903 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 375
- Cellular and Molecular Neuroscience 232
- Epidemiology 168
- Cardiology and Cardiovascular Medicine 133
- Materials Chemistry 129
Countries citing papers authored by Dae‐Seong Kim
This map shows the geographic impact of Dae‐Seong 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‐Seong 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‐Seong Kim more than expected).
Fields of papers citing papers by Dae‐Seong Kim
This network shows the impact of papers produced by Dae‐Seong 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‐Seong Kim. The network helps show where Dae‐Seong Kim may publish in the future.
Co-authorship network of co-authors of Dae‐Seong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Seong Kim. A scholar is included among the top collaborators of Dae‐Seong Kim 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 Dae‐Seong Kim. Dae‐Seong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 27 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 22 | |
| 10 | 58 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Clinical and Genetic Characteristics in Patients of Charcot-Marie-Tooth type 2A with Mitofusin 2 (MFN2) Mutations | 1 |
| 18 | 14 | |
| 19 | A Case of Anti-Hu Associated Paraneoplastic Subacute Sensory Neuronopathy. | 0 |
| 20 | Electrophysiological Classification of Guillain-Barre Syndrome - Sequential Changes in Electrophysiologic Findings - | 3 |
About Dae‐Seong Kim
Dae‐Seong Kim is a scholar working on Genetics, Neurology and Cellular and Molecular Neuroscience, having authored 55 papers that have together received 915 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Neurogenetic and Muscular Disorders Research (9 papers) and Genetic Neurodegenerative Diseases (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (232 citations), Genetics (96 citations) and Neurology (127 citations). Dae‐Seong Kim has collaborated with scholars based in South Korea, Finland and Sudan. Frequent co-authors include Jin‐Hong Shin, Young‐Chul Choi, Hyang-Sook Kim, Kyu-Hyun Park, Sun‐Young Kim, Arash Minai‐Tehrani, Soon‐Kyung Hwang, Myung‐Haing Cho, Jung‐Taek Kwon and Young-Eun Park. Their work appears in journals such as Hepatology, Scientific Reports and ChemSusChem.
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.