Thun‐How Ong

614 total citations
11 papers, 240 citations indexed

About

Thun‐How Ong is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Thun‐How Ong has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Physiology and 2 papers in Surgery. Recurrent topics in Thun‐How Ong's work include Obstructive Sleep Apnea Research (6 papers), Cardiovascular and Diving-Related Complications (3 papers) and Vascular Anomalies and Treatments (2 papers). Thun‐How Ong is often cited by papers focused on Obstructive Sleep Apnea Research (6 papers), Cardiovascular and Diving-Related Complications (3 papers) and Vascular Anomalies and Treatments (2 papers). Thun‐How Ong collaborates with scholars based in Singapore, Australia and India. Thun‐How Ong's co-authors include Philip Eng, Chi‐Hang Lee, Su Ying Low, K.L. Tan, Mariko Siyue Koh, Liangping Zhao, Siew‐Pang Chan, Theo Kofidis, Huay Cheem Tan and Devanand Anantham and has published in prestigious journals such as CHEST Journal, Intensive Care Medicine and Atherosclerosis.

In The Last Decade

Thun‐How Ong

10 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thun‐How Ong Singapore	8	176	95	73	62	39	11	240
David C. Flenley United Kingdom	6	303 1.7×	138 1.5×	20 0.3×	26 0.4×	49 1.3×	7	372
Aída Selfa Muñoz Spain	6	107 0.6×	49 0.5×	50 0.7×	20 0.3×	26 0.7×	14	165
Uma Devaraj India	8	119 0.7×	80 0.8×	9 0.1×	29 0.5×	42 1.1×	40	200
Kara M. Beasley United States	9	327 1.9×	16 0.2×	30 0.4×	70 1.1×	66 1.7×	16	373
J.F. Masa Jiménez Spain	11	300 1.7×	202 2.1×	4 0.1×	43 0.7×	176 4.5×	29	401
Annamaria Iakovou United States	5	76 0.4×	12 0.1×	52 0.7×	41 0.7×	3 0.1×	10	129
Marloes van den Berg Netherlands	7	154 0.9×	12 0.1×	11 0.2×	23 0.4×	22 0.6×	10	233
Nanci Yuan United States	7	84 0.5×	11 0.1×	42 0.6×	118 1.9×	2 0.1×	9	210
Adil Fatakia United States	6	33 0.2×	25 0.3×	18 0.2×	73 1.2×	10 0.3×	6	112
Eleonora Stival Italy	8	135 0.8×	10 0.1×	5 0.1×	53 0.9×	29 0.7×	11	198

Countries citing papers authored by Thun‐How Ong

Since Specialization

Citations

This map shows the geographic impact of Thun‐How Ong'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 Thun‐How Ong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thun‐How Ong more than expected).

Fields of papers citing papers by Thun‐How Ong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thun‐How Ong. 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 Thun‐How Ong. The network helps show where Thun‐How Ong may publish in the future.

Co-authorship network of co-authors of Thun‐How Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Thun‐How Ong. A scholar is included among the top collaborators of Thun‐How Ong 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 Thun‐How Ong. Thun‐How Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Yii, Anthony, Jessica Tan, Thérèse Lapperre, et al.. (2017). Long‐term future risk of severe exacerbations: Distinct 5‐year trajectories of problematic asthma. Allergy. 72(9). 1398–1405. 31 indexed citations

Tai, Bee‐Choo, et al.. (2016). Optimal Body Mass Index Cut-offs for Identification of Patients with Coronary Artery Disease at High Risk of Obstructive Sleep Apnoea. Heart Lung and Circulation. 25(8). 847–854. 8 indexed citations

Zhao, Liangping, Theo Kofidis, Siew‐Pang Chan, et al.. (2015). Sleep apnoea and unscheduled re-admission in patients undergoing coronary artery bypass surgery. Atherosclerosis. 242(1). 128–134. 13 indexed citations

Zhao, Liangping, Theo Kofidis, Siew‐Pang Chan, et al.. (2015). Sleep apnea is associated with new-onset atrial fibrillation after coronary artery bypass grafting. Journal of Critical Care. 30(6). 1418.e1–1418.e5. 27 indexed citations

Loo, Germaine, Chieh Yang Koo, Junjie Zhang, et al.. (2014). Impact of Obstructive Sleep Apnea on Cardiovascular Outcomes in Patients Treated With Percutaneous Coronary Intervention: Rationale and Design of the Sleep and Stent Study. Clinical Cardiology. 37(5). 261–269. 12 indexed citations

Ong, Thun‐How. (2006). Obstructive sleep apnea syndrome: clinical features in children vs. adults.. PubMed. 89(3). 104–6.

Anantham, Devanand, Mariko Siyue Koh, Thun‐How Ong, et al.. (2004). Simple aspiration versus chest-tube insertion in the management of primary spontaneous pneumothorax: a systematic review. Respiratory Medicine. 98(7). 579–590. 43 indexed citations

Ong, Thun‐How. (2003). Pancoast's Syndrome Due to Chronic Necrotizing Pulmonary Aspergillosi. CHEST Journal. 124(4). 317S–317S. 1 indexed citations

Ong, Thun‐How & P. Eng. (2003). Massive hemoptysis requiring intensive care.. Journal of Bronchology. 10(2). 157–158. 7 indexed citations

10.

Ong, Thun‐How & Philip Eng. (2003). Massive hemoptysis requiring intensive care. Intensive Care Medicine. 29(2). 317–320. 84 indexed citations

11.

Tan, York Kiat, et al.. (1999). Ethnicity, obstructive sleep apnoea and ischaemic heart disease.. PubMed. 28(2). 214–6. 14 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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