Chia‐Te Kung
- Epidemiology top 5%
- Surgery top 10%
- Molecular Biology
- Biomedical Engineering top 10%
- Neurology top 5%
- Co-authors
- Chih-Min SuCheng‐Hsien LuLung‐Ming FuNai‐Wen TsaiYao-Nan WangYu‐Jih SuBen‐Chung ChengWei-Che Lin
- Topics
- Sepsis Diagnosis and Treatment (21 papers)Emergency and Acute Care Studies (15 papers)Parkinson's Disease Mechanisms and Treatments (14 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chia‐Te Kung
148 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 158
- Epidemiology 483
- Surgery 448
- Molecular Biology 439
- Biomedical Engineering 337
- Neurology 273
Countries citing papers authored by Chia‐Te Kung
This map shows the geographic impact of Chia‐Te Kung'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 Chia‐Te Kung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Te Kung more than expected).
Fields of papers citing papers by Chia‐Te Kung
This network shows the impact of papers produced by Chia‐Te Kung. 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 Chia‐Te Kung. The network helps show where Chia‐Te Kung may publish in the future.
Co-authorship network of co-authors of Chia‐Te Kung
This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Te Kung. A scholar is included among the top collaborators of Chia‐Te Kung 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 Chia‐Te Kung. Chia‐Te Kung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | Cryptococcal Meningoencephalitis with Meningomyelitis: A Case Report | 1 |
| 18 | 72-Hour Revisit, Hospitalization, and Operations Performed among Patients Originally Discharged from the Emergency Department | 3 |
| 19 | Cluster Utilization of Emergency Department Services by Frequent Users in a Medical Center | 1 |
| 20 | Delayed Primary Percutaneous Coronary Intervention for Acute Myocardial Infarction in the Emergency Department | 1 |
About Chia‐Te Kung
Chia‐Te Kung is a scholar working on Emergency Medicine, Neurology and Epidemiology, having authored 157 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (21 papers), Emergency and Acute Care Studies (15 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). The work is most often cited by research in Emergency Medicine (263 citations), Neurology (273 citations) and Critical Care and Intensive Care Medicine (77 citations). Chia‐Te Kung has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chih-Min Su, Cheng‐Hsien Lu, Lung‐Ming Fu, Nai‐Wen Tsai, Yao-Nan Wang, Yu‐Jih Su, Ben‐Chung Cheng, Wei-Che Lin, Hung‐Chen Wang and Wen‐Neng Chang. Their work appears in journals such as Chemical Engineering Journal, Environment International 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.