Soo Hyun Kwon
- Pediatrics, Perinatology and Child Health top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health
- Pulmonary and Respiratory Medicine
- Co-authors
- Laura R. MentDustin ScheinostR. Todd ConstableGordon SzeCheryl LacadieRajita SinhaKaren SchneiderSarah Cross
- Topics
- Neonatal and fetal brain pathology (6 papers)Infant Development and Preterm Care (4 papers)Medical Imaging Techniques and Applications (3 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Soo Hyun Kwon
23 papers receiving 577 citations
Peers
Comparison fields: 5 of 91
- Pediatrics, Perinatology and Child Health 282
- Radiology, Nuclear Medicine and Imaging 146
- Cognitive Neuroscience 130
- Public Health, Environmental and Occupational Health 123
- Pulmonary and Respiratory Medicine 85
Countries citing papers authored by Soo Hyun Kwon
This map shows the geographic impact of Soo Hyun Kwon'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 Soo Hyun Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo Hyun Kwon more than expected).
Fields of papers citing papers by Soo Hyun Kwon
This network shows the impact of papers produced by Soo Hyun Kwon. 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 Soo Hyun Kwon. The network helps show where Soo Hyun Kwon may publish in the future.
Co-authorship network of co-authors of Soo Hyun Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Soo Hyun Kwon. A scholar is included among the top collaborators of Soo Hyun Kwon 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 Soo Hyun Kwon. Soo Hyun Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 111 | |
| 7 | 105 | |
| 8 | 19 | |
| 9 | 60 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | Correlation between F-18 fluorodeoxyglucose PET metabolic parameters and dynamic contrast-enhanced MRI-derived perfusion data in patients with invasive ductal breast carcinoma | 1 |
| 13 | 10 | |
| 14 | 49 | |
| 15 | 50 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 28 | |
| 20 | Applications of the Type III Asymptotic Distribution for Extreme Sea Level Computations | 1 |
About Soo Hyun Kwon
Soo Hyun Kwon is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Pharmacology, having authored 23 papers that have together received 583 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (6 papers), Infant Development and Preterm Care (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (282 citations), Behavioral Neuroscience (30 citations) and Cognitive Neuroscience (130 citations). Soo Hyun Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Laura R. Ment, Dustin Scheinost, R. Todd Constable, Gordon Sze, Cheryl Lacadie, Rajita Sinha, Karen Schneider, Sarah Cross, Feng Dai and Su Jin Lee. Their work appears in journals such as NeuroImage, The Journal of Pediatrics and Journal of Investigative Dermatology.
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.