Yi‐Da Chiu

602 citations
20 papers · 351 · h-index 10

Impact in

Papers in

Yi‐Da Chiu

18 papers receiving 340 citations

Peers

Yi‐Da Chiu
Comparison fields: 5 of 78
  • Internal Medicine 40
  • Developmental and Educational Psychology 75
  • Cardiology and Cardiovascular Medicine 108
  • Statistics and Probability 38
  • Emergency Medicine 31
Replace Ranran Xu with:
Ranran Xu China
Catherine Schramm France
Muhammed Demir Türkiye
Pragya Shrestha United States
Kayvan Khadjooi United Kingdom
Kevin Kunzmann Germany
Hai Hu China
Leah Braun Germany
Tanja Proctor Germany
Robert Lehr United States
Yi‐Da Chiu relative to Ranran Xu China Ranran Xu's profile →
Citations per field
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Ranran Xu · 1×
Citations per year

Countries citing papers authored by Yi‐Da Chiu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yi‐Da Chiu Line = papers co-authored together Yi‐Da Chiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201884
2 201971
3 202149
4 202029
5 201919
6 201817
7 202116
8 201915
9 202014
10 202013
11 20225
12 20224
13 20214
14 20233
15 20193
16 20222
17 20231
18
Graphical Displays for Subgroup Analysis in Clinical Trials [R package SubgrPlots version 0.1.3]
20201
19 20201
20 20240

About Yi‐Da Chiu

Yi‐Da Chiu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Anesthesiology and Pain Medicine, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Respiratory Support and Mechanisms (4 papers), Airway Management and Intubation Techniques (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Chronic Disease Management Strategies (2 papers), Obstructive Sleep Apnea Research (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Infection Control and Ventilation (1 paper). The work is most often cited by research in Internal Medicine (40 citations), Developmental and Educational Psychology (75 citations), Cardiology and Cardiovascular Medicine (108 citations), Statistics and Probability (38 citations) and Emergency Medicine (31 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, Katherine Bunclark, Ziad Mallat, David P. Jenkins, Tian Zhao, Choo Ng, Franz Koenig and Luke Howard. Their work appears in journals such as Trials, BMJ Open Respiratory Research, Remedial and Special Education, British Journal of Anaesthesia and Journal of Glaucoma.

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.

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