Jin‐Shing Chen
- Anesthesiology and Pain Medicine top 0.2%
- Airway Management and Intubation Techniques 38
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Diagnosis and Treatment 96
- Pleural and Pulmonary Diseases 60
- Tracheal and airway disorders 32
- Lung Cancer Treatments and Mutations 32
- Gastric Cancer Management and Outcomes 19
- Surgery top 1%
- Trauma Management and Diagnosis 19
- Cancer Research top 5%
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- Radiomics and Machine Learning in Medical Imaging 21
- Co-authors
- Hsao‐Hsun HsuYa‐Jung ChengMing‐Hui HungJang‐Ming LeeKe-Cheng ChenMong‐Wei LinPei‐Ming HuangShuenn‐Wen Kuo
- Journals
- The Annals of Thoracic Surgery (18 papers)Annals of Surgical Oncology (12 papers)Journal of Thoracic and Cardiovascular Surgery (12 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jin‐Shing Chen
322 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 173
- Anesthesiology and Pain Medicine 970
- Pulmonary and Respiratory Medicine 3.3k
- Surgery 1.9k
- Cancer Research 547
- Critical Care and Intensive Care Medicine 184
Countries citing papers authored by Jin‐Shing Chen
This map shows the geographic impact of Jin‐Shing Chen'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 Jin‐Shing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin‐Shing Chen more than expected).
Fields of papers citing papers by Jin‐Shing Chen
This network shows the impact of papers produced by Jin‐Shing Chen. 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 Jin‐Shing Chen. The network helps show where Jin‐Shing Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin‐Shing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 8 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 15 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 41 | |
| 16 | 2011 | 13 | |
| 17 | 2011 | 125 | |
| 18 | 2010 | 168 | |
| 19 | 2005 | 7 | |
| 20 | Assessment of a modified household food weighing method in a study of bone health in China. | 1994 | 2 |
About Jin‐Shing Chen
Jin‐Shing Chen is a scholar working on Anesthesiology and Pain Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 340 papers that have together received 6.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (96 papers), Pleural and Pulmonary Diseases (60 papers), Airway Management and Intubation Techniques (38 papers), Tracheal and airway disorders (32 papers), Lung Cancer Treatments and Mutations (32 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Trauma Management and Diagnosis (19 papers) and Gastric Cancer Management and Outcomes (19 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (970 citations), Pulmonary and Respiratory Medicine (3.3k citations) and Surgery (1.9k citations). Jin‐Shing Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsao‐Hsun Hsu, Ya‐Jung Cheng, Ming‐Hui Hung, Jang‐Ming Lee, Ke-Cheng Chen, Mong‐Wei Lin, Pei‐Ming Huang, Shuenn‐Wen Kuo, Yung-Chie Lee and Yu‐Ding Tseng. Their work appears in journals such as The Annals of Thoracic Surgery, Annals of Surgical Oncology, Journal of Thoracic and Cardiovascular Surgery, Cancers and Annals of Oncology.
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.