Kyung‐Hyun Do
- Pulmonary and Respiratory Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Epidemiology top 5%
- Surgery top 5%
- Infectious Diseases top 5%
- Co-authors
- Jooae ChoeJoon Beom SeoHyun Jung KooSang‐Ho ChoiSang Min LeeHeungsup SungSoyeoun LimJin Woo Song
- Topics
- Lung Cancer Diagnosis and Treatment (34 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (28 papers)Radiomics and Machine Learning in Medical Imaging (26 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- South KoreaUnited StatesBelarus
In The Last Decade
Kyung‐Hyun Do
133 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Pulmonary and Respiratory Medicine 1.6k
- Radiology, Nuclear Medicine and Imaging 1.3k
- Epidemiology 742
- Surgery 537
- Infectious Diseases 478
Countries citing papers authored by Kyung‐Hyun Do
This map shows the geographic impact of Kyung‐Hyun Do'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 Kyung‐Hyun Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyung‐Hyun Do more than expected).
Fields of papers citing papers by Kyung‐Hyun Do
This network shows the impact of papers produced by Kyung‐Hyun Do. 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 Kyung‐Hyun Do. The network helps show where Kyung‐Hyun Do may publish in the future.
Co-authorship network of co-authors of Kyung‐Hyun Do
This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Hyun Do. A scholar is included among the top collaborators of Kyung‐Hyun Do 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 Kyung‐Hyun Do. Kyung‐Hyun Do 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 57 | |
| 11 | 6 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 54 | |
| 18 | 20 | |
| 19 | 7 | |
| 20 | 26 |
About Kyung‐Hyun Do
Kyung‐Hyun Do is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 146 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (34 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (28 papers) and Radiomics and Machine Learning in Medical Imaging (26 papers). The work is most often cited by research in Health Informatics (141 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations) and Pulmonary and Respiratory Medicine (1.6k citations). Kyung‐Hyun Do has collaborated with scholars based in South Korea, United States and Belarus. Frequent co-authors include Jooae Choe, Joon Beom Seo, Hyun Jung Koo, Sang‐Ho Choi, Sang Min Lee, Heungsup Sung, Soyeoun Lim, Jin Woo Song, Se Jin Jang and Eun Jin Chae. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.