Hyun J. Kim
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pathology and Forensic Medicine top 5%
- Physiology
- Epidemiology
- Co-authors
- Jonathan GoldinMatthew S. BrownFereidoun AbtinMichael F. McNitt‐GraySumit K. ShahDavid W. GjertsonRobert M. ElashoffDonald P. Tashkin
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers)Lung Cancer Diagnosis and Treatment (11 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Cited by
- Pulmonary and Respiratory MedicinePathology and Forensic MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
Hyun J. Kim
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Pulmonary and Respiratory Medicine 946
- Radiology, Nuclear Medicine and Imaging 320
- Pathology and Forensic Medicine 274
- Physiology 153
- Epidemiology 125
Countries citing papers authored by Hyun J. Kim
This map shows the geographic impact of Hyun J. 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 Hyun J. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun J. Kim more than expected).
Fields of papers citing papers by Hyun J. Kim
This network shows the impact of papers produced by Hyun J. 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 Hyun J. Kim. The network helps show where Hyun J. Kim may publish in the future.
Co-authorship network of co-authors of Hyun J. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun J. Kim. A scholar is included among the top collaborators of Hyun J. 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 Hyun J. Kim. Hyun J. 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 | 16 | |
| 3 | 30 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 38 | |
| 7 | 97 | |
| 8 | 64 | |
| 9 | 36 | |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 85 | |
| 13 | 46 | |
| 14 | 40 | |
| 15 | 90 | |
| 16 | 58 | |
| 17 | 30 | |
| 18 | 38 | |
| 19 | 23 | |
| 20 | 68 |
About Hyun J. Kim
Hyun J. Kim is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Anesthesiology and Pain Medicine, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Lung Cancer Diagnosis and Treatment (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (946 citations), Pathology and Forensic Medicine (274 citations) and Radiology, Nuclear Medicine and Imaging (320 citations). Hyun J. Kim has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Jonathan Goldin, Matthew S. Brown, Fereidoun Abtin, Michael F. McNitt‐Gray, Sumit K. Shah, David W. Gjertson, Robert M. Elashoff, Donald P. Tashkin, Denise R. Aberle and Eric C. Kleerup. Their work appears in journals such as CHEST Journal, Annals of the Rheumatic Diseases and IEEE Transactions on Medical Imaging.
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.