Ling‐Hsiang Chuang

2.4k total citations · 2 hit papers
45 papers, 1.8k citations indexed

About

Ling‐Hsiang Chuang is a scholar working on Economics and Econometrics, General Health Professions and Surgery. According to data from OpenAlex, Ling‐Hsiang Chuang has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Economics and Econometrics, 11 papers in General Health Professions and 10 papers in Surgery. Recurrent topics in Ling‐Hsiang Chuang's work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Economic and Environmental Valuation (10 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Ling‐Hsiang Chuang is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (22 papers), Economic and Environmental Valuation (10 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Ling‐Hsiang Chuang collaborates with scholars based in United Kingdom, Spain and Germany. Ling‐Hsiang Chuang's co-authors include Paul Kind, David Torgerson, Catherine Hewitt, Stephen Brealey, Amar Rangan, Helen HG Handoll, Belén Corbacho, Ada Keding, Laura Jefferson and Lorna Goodchild and has published in prestigious journals such as JAMA, Annals of Internal Medicine and Spine.

In The Last Decade

Ling‐Hsiang Chuang

42 papers receiving 1.7k citations

Hit Papers

South Korean Time Trade-Off Values for EQ-5D Health State... 2009 2026 2014 2020 2009 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling‐Hsiang Chuang United Kingdom 19 642 522 388 295 226 45 1.8k
Tracie C. Collins United States 25 1.2k 1.9× 267 0.5× 198 0.5× 560 1.9× 90 0.4× 62 2.5k
Jeonghoon Ahn South Korea 22 240 0.4× 284 0.5× 347 0.9× 289 1.0× 126 0.6× 108 1.7k
Felipe Aizpuru Spain 26 492 0.8× 218 0.4× 191 0.5× 502 1.7× 66 0.3× 56 2.6k
Kim G. Smolderen United States 28 1.4k 2.1× 238 0.5× 409 1.1× 351 1.2× 134 0.6× 183 3.1k
Gunter Laux Germany 27 401 0.6× 483 0.9× 227 0.6× 525 1.8× 247 1.1× 92 2.1k
Wilma J.M. Scholte op Reimer Netherlands 31 491 0.8× 536 1.0× 290 0.7× 546 1.9× 96 0.4× 93 2.9k
John Woolcott United States 17 224 0.3× 241 0.5× 372 1.0× 169 0.6× 112 0.5× 73 2.0k
Aída Ribera Spain 25 434 0.7× 508 1.0× 170 0.4× 342 1.2× 69 0.3× 96 2.5k
Seiji Bito Japan 19 364 0.6× 202 0.4× 155 0.4× 542 1.8× 147 0.7× 69 2.2k
Ingrid Schübert Germany 28 202 0.3× 468 0.9× 335 0.9× 468 1.6× 75 0.3× 112 2.2k

Countries citing papers authored by Ling‐Hsiang Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Ling‐Hsiang Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Hsiang Chuang. 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 Ling‐Hsiang Chuang. The network helps show where Ling‐Hsiang Chuang may publish in the future.

Co-authorship network of co-authors of Ling‐Hsiang Chuang

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

All Works

20 of 20 papers shown
2.
3.
Chuang, Ling‐Hsiang, Alexander T. Cohen, Giancarlo Agnelli, et al.. (2019). Comparison of quality of life measurements: EQ-5D-5L versus disease/treatment-specific measures in pulmonary embolism and deep vein thrombosis. Quality of Life Research. 28(5). 1155–1177. 9 indexed citations
4.
Willich, Stefan N., Ling‐Hsiang Chuang, Ben van Hout, et al.. (2018). Pulmonary embolism in Europe - Burden of illness in relationship to healthcare resource utilization and return to work. Thrombosis Research. 170. 181–191. 28 indexed citations
5.
Kroep, Sonja, Ling‐Hsiang Chuang, Alexander T. Cohen, et al.. (2018). The impact of co-morbidity on the disease burden of VTE. Journal of Thrombosis and Thrombolysis. 46(4). 507–515. 12 indexed citations
6.
Chuang, Ling‐Hsiang, Ben van Hout, Giancarlo Agnelli, et al.. (2017). Burden Of Illness Of Pulmonary Embolism In Europe – Mortality And Health Related Quality Of Life. Value in Health. 20(9). A611–A611.
7.
Colantonio, Lisandro D., Julieta Galante, Ariel Bardach, et al.. (2017). Measuring the Benefits of Healthcare: DALYs and QALYs – Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions. International Journal of Health Policy and Management. 7(2). 120–136. 30 indexed citations
9.
Franch‐Nadal, Josep, et al.. (2014). The Cost-Effectiveness Of Saxagliptin When Added To Metformin And Sulphonylurea In The Treatment Of Type 2 Diabetes Mellitus In Spain. Value in Health. 17(7). A350–A350. 1 indexed citations
10.
Chuang, Ling‐Hsiang, M. Treur, Bart Heeg, Ben van Hout, & Anna Filonenko. (2013). The use and impact of value of information analysis in decision-making. Value in Health. 16(3). A30–A30. 1 indexed citations
11.
Chuang, Ling‐Hsiang, Andrew Garratt, & Stephen Brealey. (2013). Comparative responsiveness and minimal change of the Knee Quality of Life 26-item (KQoL-26) questionnaire. Quality of Life Research. 22(9). 2461–2475. 11 indexed citations
12.
Chuang, Ling‐Hsiang, Marta Soares, Helen Tilbrook, et al.. (2012). A Pragmatic Multicentered Randomized Controlled Trial of Yoga for Chronic Low Back Pain. Spine. 37(18). 1593–1601. 47 indexed citations
13.
Furze, Gill, Helen Cox, Veronica Morton, et al.. (2012). Randomized controlled trial of a lay‐facilitated angina management programme. Journal of Advanced Nursing. 68(10). 2267–2279. 22 indexed citations
14.
Chuang, Ling‐Hsiang, et al.. (2011). Mapping for economic evaluation. British Medical Bulletin. 101(1). 1–15. 47 indexed citations
15.
Chuang, Ling‐Hsiang, et al.. (2009). Estimating Domestic Values for EQ-5D Health States Using Survey Data From External Sources. Medical Care. 47(2). 168–175. 4 indexed citations
16.
Lee, Yeon-Kyeng, Hae‐Sung Nam, Ling‐Hsiang Chuang, et al.. (2009). South Korean Time Trade-Off Values for EQ-5D Health States: Modeling with Observed Values for 101 Health States. Value in Health. 12(8). 1187–1193. 386 indexed citations breakdown →
17.
Cox, Helen, Helen Tilbrook, John Aplin, et al.. (2009). A pragmatic multi-centred randomised controlled trial of yoga for chronic low back pain: Trial protocol. Complementary Therapies in Clinical Practice. 16(2). 76–80. 18 indexed citations
19.
Lang, Hui‐Chu, Ling‐Hsiang Chuang, Shiow‐Ching Shun, Ching‐Lin Hsieh, & Chung‐Fu Lan. (2009). Validation of EQ-5D in patients with cervical cancer in Taiwan. Supportive Care in Cancer. 18(10). 1279–1286. 46 indexed citations
20.
Kind, Paul, et al.. (2008). Hispanic Valuation of the EQ-5D Health States: A Social Value Set for Latin Americans. Value in Health. 11(7). 1170–1177. 47 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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