Chaolin Chen
Impact in
- Neurology top 5%
- Long-Term Effects of COVID-19
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- Intensive Care Unit Cognitive Disorders
- Thermal Regulation in Medicine
Papers in ⓘ
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- Lung Cancer Diagnosis and Treatment 1
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- Lymphoma Diagnosis and Treatment 1
- Co-authors
- Liyun Luo (1 shared paper)Xiaorong Zhou (1 shared paper)Jing Liu (1 shared paper)Hong Shan (1 shared paper)Yiying Huang (1 shared paper)Meizhu Chen (1 shared paper)Xinran Liu (1 shared paper)Cuiyan Tan (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Journal of Cardiovascular Pharmacology (1 paper)Frontiers in Medicine (1 paper)Abdominal Radiology (1 paper)Respiratory Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chaolin Chen
7 papers receiving 420 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Neurology 292
- Critical Care and Intensive Care Medicine 76
- Infectious Diseases 206
- Pulmonary and Respiratory Medicine 154
- Clinical Psychology 86
Countries citing papers authored by Chaolin Chen
This map shows the geographic impact of Chaolin 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 Chaolin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaolin Chen more than expected).
Fields of papers citing papers by Chaolin Chen
This network shows the impact of papers produced by Chaolin 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 Chaolin Chen. The network helps show where Chaolin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaolin 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 | Impact of coronavirus disease 2019 on pulmonary function in early convalescence phase Hit paper breakdown → | 2020 | 370 |
| 2 | 2022 | 32 | |
| 3 | 2021 | 14 | |
| 4 | 2008 | 9 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 |
About Chaolin Chen
Chaolin Chen is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 10 papers that have together received 433 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Long-Term Effects of COVID-19 (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Endometriosis Research and Treatment (1 paper), Medical Imaging Techniques and Applications (1 paper), MicroRNA in disease regulation (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Neurology (292 citations), Critical Care and Intensive Care Medicine (76 citations), Infectious Diseases (206 citations), Pulmonary and Respiratory Medicine (154 citations) and Clinical Psychology (86 citations). Chaolin Chen has collaborated with scholars based in China and United States. Frequent co-authors include Liyun Luo, Xiaorong Zhou, Jing Liu, Hong Shan, Yiying Huang, Meizhu Chen, Xinran Liu, Cuiyan Tan, Jin Huang and Xiaoling Huang. Their work appears in journals such as Frontiers in Oncology, Journal of Cardiovascular Pharmacology, Frontiers in Medicine, Abdominal Radiology and Respiratory Research.
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.