Yi‐Da Chiu
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
-
- Reading and Literacy Development
- Language Development and Disorders
Papers in
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- Respiratory Support and Mechanisms 2
- Infection Control and Ventilation 1
- Cystic Fibrosis Research Advances 1
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- Obstructive Sleep Apnea Research 2
- Co-authors
- Sofía S. Villar (9 shared papers)Martin Posch (2 shared papers)Thomas Jaki (2 shared papers)Saji Victor (1 shared paper)Tian Zhao (1 shared paper)Mamas A. Mamas (2 shared papers)Joie Ensor (2 shared papers)Alessandro Ruggiero (1 shared paper)
- Journals
- Trials (4 papers)Statistics in Medicine (1 paper)Anaesthesia (1 paper)Cardiovascular Research (1 paper)Journal of Thrombosis and Haemostasis (1 paper)
- Partner nations
- United KingdomAustriaAustralia
In The Last Decade
Yi‐Da Chiu
18 papers receiving 356 citations
Peers
Comparison fields: 5 of 71
- Internal Medicine 34
- Developmental and Educational Psychology 73
- Statistics and Probability 37
- Cardiology and Cardiovascular Medicine 82
- Pulmonary and Respiratory Medicine 88
Countries citing papers authored by Yi‐Da Chiu
This map shows the geographic impact of Yi‐Da Chiu'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 Yi‐Da Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Da Chiu more than expected).
Fields of papers citing papers by Yi‐Da Chiu
This network shows the impact of papers produced by Yi‐Da Chiu. 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 Yi‐Da Chiu. The network helps show where Yi‐Da Chiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Da Chiu, 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 | 2018 | 88 | |
| 2 | 2019 | 74 | |
| 3 | 2021 | 51 | |
| 4 | 2020 | 30 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 1 | |
| 19 | Graphical Displays for Subgroup Analysis in Clinical Trials [R package SubgrPlots version 0.1.3] | 2020 | 1 |
| 20 | 2024 | 0 |
About Yi‐Da Chiu
Yi‐Da Chiu is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Cardiology and Cardiovascular Medicine, Epidemiology and Statistics and Probability, having authored 20 papers that have together received 367 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (2 papers), Obstructive Sleep Apnea Research (2 papers), Sepsis Diagnosis and Treatment (2 papers), Infection Control and Ventilation (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Mental Health Research Topics (1 paper), Data Visualization and Analytics (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Internal Medicine (34 citations), Developmental and Educational Psychology (73 citations), Statistics and Probability (37 citations), Cardiology and Cardiovascular Medicine (82 citations) and Pulmonary and Respiratory Medicine (88 citations). Yi‐Da Chiu has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Sofía S. Villar, Martin Posch, Thomas Jaki, Saji Victor, Tian Zhao, Mamas A. Mamas, Joie Ensor, Alessandro Ruggiero, Karen Sheares and James Clayton. Their work appears in journals such as Trials, Statistics in Medicine, Anaesthesia, Cardiovascular Research and Journal of Thrombosis and Haemostasis.
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.