Tsai-Yu Wang

449 citations
19 papers · 323 · h-index 11

Impact in

Papers in

Tsai-Yu Wang

18 papers receiving 318 citations

Peers

Tsai-Yu Wang
Comparison fields: 5 of 47
  • Anesthesiology and Pain Medicine 82
  • Endocrine and Autonomic Systems 36
  • Physiology 105
  • Critical Care and Intensive Care Medicine 16
  • Pulmonary and Respiratory Medicine 90
Replace Uma Devaraj with:
Uma Devaraj India
Anu George India
Ashfaq Hasan India
Christoph Huenseler Germany
Adil Zamanı Türkiye
D. Cheung Netherlands
Margarete Olivier Germany
Joshua Sill United States
Erika MacIntyre Canada
Raymond C. Maguire United States
Tsai-Yu Wang relative to Uma Devaraj India Uma Devaraj's profile →
Citations per field
00.5×10×15×20.5×
Uma Devaraj · 1×
Citations per year

Countries citing papers authored by Tsai-Yu Wang

Since Specialization
Citations

This map shows the geographic impact of Tsai-Yu Wang'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 Tsai-Yu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsai-Yu Wang more than expected).

Fields of papers citing papers by Tsai-Yu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsai-Yu Wang. 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 Tsai-Yu Wang. The network helps show where Tsai-Yu Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Tsai-Yu Wang, 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 Tsai-Yu Wang Line = papers co-authored together Tsai-Yu Wang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201162
2 201747
3 201541
4 201423
5 201320
6 201320
7 202016
8 201516
9 201013
10 201613
11 201811
12 202110
13 20169
14 20248
15 20176
16 20144
17 20242
18 20192
19 20250

About Tsai-Yu Wang

Tsai-Yu Wang is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Anesthesiology and Pain Medicine, Physiology and Epidemiology, having authored 19 papers that have together received 323 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (4 papers), Anesthesia and Sedative Agents (4 papers), Tuberculosis Research and Epidemiology (3 papers), Tracheal and airway disorders (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Respiratory Support and Mechanisms (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (82 citations), Endocrine and Autonomic Systems (36 citations), Physiology (105 citations), Critical Care and Intensive Care Medicine (16 citations) and Pulmonary and Respiratory Medicine (90 citations). Tsai-Yu Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yu-Lun Lo, Han-Pin Kuo, Ting‐Yu Lin, Shu‐Min Lin, Fu‐Tsai Chung, Chun‐Hua Wang, Chih-Hsi Kuo, Horng-Chyuan Lin, Chien‐Da Huang and Yueh‐Fu Fang. Their work appears in journals such as PLoS ONE, BMC Pulmonary Medicine, Medicine, Journal of Clinical Sleep Medicine and Journal of Microbiology Immunology and Infection.

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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