Dae Jin Song
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Epidemiology
- Immunology and Allergy top 5%
- Co-authors
- David H. BroideJae Youn ChoJung Yeon ShimMarina MillerJi‐Won KwonAjit VarkiWoo Kyung KimSang Yeub Lee
- Topics
- Asthma and respiratory diseases (37 papers)Respiratory and Cough-Related Research (18 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Dae Jin Song
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Physiology 425
- Pulmonary and Respiratory Medicine 272
- Immunology 212
- Epidemiology 176
- Immunology and Allergy 151
Countries citing papers authored by Dae Jin Song
This map shows the geographic impact of Dae Jin Song'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 Jin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae Jin Song more than expected).
Fields of papers citing papers by Dae Jin Song
This network shows the impact of papers produced by Dae Jin Song. 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 Jin Song. The network helps show where Dae Jin Song may publish in the future.
Co-authorship network of co-authors of Dae Jin Song
This figure shows the co-authorship network connecting the top 25 collaborators of Dae Jin Song. A scholar is included among the top collaborators of Dae Jin Song 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 Jin Song. Dae Jin Song 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 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | 68 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 33 | |
| 12 | 7 | |
| 13 | 29 | |
| 14 | Development of Family Board Game for Asthma Education and Evaluation of its Educational Effect | 3 |
| 15 | 천식 교육을 위한 가족용 보드 게임의 개발 및 교육 효과 | 2 |
| 16 | 80 | |
| 17 | 60 | |
| 18 | 8 | |
| 19 | Bronchial Asthma Education and the Internet: The Present Situation and Future Direction | 1 |
| 20 | Supercritical Carbon Dioxide Extraction of Organochlorine Pesticides Spiked in Fish Tissues | 4 |
About Dae Jin Song
Dae Jin Song is a scholar working on Emergency Medical Services, Immunology and Allergy and Physiology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (37 papers), Respiratory and Cough-Related Research (18 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers). The work is most often cited by research in Immunology and Allergy (151 citations), Physiology (425 citations) and Emergency Medical Services (87 citations). Dae Jin Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include David H. Broide, Jae Youn Cho, Jung Yeon Shim, Marina Miller, Ji‐Won Kwon, Ajit Varki, Woo Kyung Kim, Sang Yeub Lee, Ji Tae Choung and Hyung Young Kim. Their work appears in journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology and IEEE Access.
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.