Wai-Cho Yu

483 total citations
9 papers, 322 citations indexed

About

Wai-Cho Yu is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Economics and Econometrics. According to data from OpenAlex, Wai-Cho Yu has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Physiology and 2 papers in Economics and Econometrics. Recurrent topics in Wai-Cho Yu's work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Respiratory Support and Mechanisms (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Wai-Cho Yu is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Respiratory Support and Mechanisms (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Wai-Cho Yu collaborates with scholars based in Hong Kong, China and New Zealand. Wai-Cho Yu's co-authors include Fanny W.S. Ko, Msm Ip, Arthur Chun-Wing Lau, Diana Lee, Janita Pak Chun Chau, Sek Ying Chair, Doris Sau Fung Yu, Carlos King Ho Wong, Sarah M. McGhee and Jing Chen and has published in prestigious journals such as PLoS ONE, CHEST Journal and The American Journal of Medicine.

In The Last Decade

Wai-Cho Yu

9 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Wai-Cho Yu Hong Kong	6	185	73	68	45	34	9	322
Sarah Rylance United Kingdom	12	257 1.4×	105 1.4×	39 0.6×	94 2.1×	25 0.7×	28	457
Nauman Rashid India	10	292 1.6×	158 2.2×	39 0.6×	74 1.6×	7 0.2×	11	465
A. Khattab Tunisia	7	166 0.9×	156 2.1×	33 0.5×	51 1.1×	7 0.2×	25	319
Amir Khakban Canada	9	163 0.9×	54 0.7×	38 0.6×	31 0.7×	51 1.5×	20	299
Mónica Monteagudo Spain	14	467 2.5×	262 3.6×	71 1.0×	103 2.3×	18 0.5×	38	649
Laura Muñoz Spain	7	508 2.7×	246 3.4×	65 1.0×	69 1.5×	9 0.3×	12	590
Christopher D. Codispoti United States	14	103 0.6×	220 3.0×	57 0.8×	25 0.6×	8 0.2×	29	503
Enrico Materia Italy	11	40 0.2×	54 0.7×	74 1.1×	35 0.8×	14 0.4×	30	340
Cecilia Tong Hong Kong	8	368 2.0×	181 2.5×	45 0.7×	127 2.8×	44 1.3×	14	613
Maria Antonietta Bressan Italy	12	48 0.3×	21 0.3×	75 1.1×	61 1.4×	82 2.4×	20	445

Countries citing papers authored by Wai-Cho Yu

Since Specialization

Citations

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

Fields of papers citing papers by Wai-Cho Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wai-Cho Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Cho Yu. A scholar is included among the top collaborators of Wai-Cho Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wai-Cho Yu. Wai-Cho Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Yu, E., et al.. (2021). Clamping of chest drain before removal in spontaneous pneumothorax. Journal of Cardiothoracic Surgery. 16(1). 24–24. 4 indexed citations

Wong, Carlos King Ho, et al.. (2019). SF-6D utility scores of smokers and ex-smokers with or without respiratory symptoms attending primary care clinics. Health and Quality of Life Outcomes. 17(1). 48–48. 5 indexed citations

Lam, David, Hoi‐Hin Kwok, Wai-Cho Yu, et al.. (2018). CC16 levels correlate with cigarette smoke exposure in bronchial epithelial cells and with lung function decline in smokers. BMC Pulmonary Medicine. 18(1). 47–47. 17 indexed citations

Chen, Jing, et al.. (2014). A Comparison between the EQ-5D and the SF-6D in Patients with Chronic Obstructive Pulmonary Disease (COPD). PLoS ONE. 9(11). e112389–e112389. 44 indexed citations

Chau, Janita Pak Chun, et al.. (2012). A feasibility study to investigate the acceptability and potential effectiveness of a telecare service for older people with chronic obstructive pulmonary disease. International Journal of Medical Informatics. 81(10). 674–682. 92 indexed citations

Ip, Msm, et al.. (2006). Updated Spirometric Reference Values for Adult Chinese in Hong Kong and Implications on Clinical Utilization. CHEST Journal. 129(2). 384–392. 129 indexed citations

Jones, Alice, et al.. (2006). Exercise-induced desaturation and electrocardiogram changes in people with severe lung disease: An exploratory investigation of 25 serial cases. Heart & Lung. 35(6). 397–404. 1 indexed citations

Chan, Johnny Wai Man, Dyt Fong, Agnes S. Lai, et al.. (2005). DETERMINING THE LOWER LIMITS OF NORMAL OF SPIROMETRIC REFERENCE VALUES FOR ADULT CHINESE IN HONG KONG. CHEST Journal. 128(4). 391S–391S. 3 indexed citations

Chau, Tai‐Nin, et al.. (2004). Value of initial chest radiographs for predicting clinical outcomes in patients with severe acute respiratory syndrome. The American Journal of Medicine. 117(4). 249–254. 27 indexed citations

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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