Ling‐Hsiang Chuang

2.4k citations
45 papers · 1.8k indexed · 2 hit papers · h-index 19
Topics
Health Systems, Economic Evaluations, Quality of Life (22 papers)Economic and Environmental Valuation (10 papers)Venous Thromboembolism Diagnosis and Management (9 papers)

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...200920262014202020092015100200300

Peers

Ling‐Hsiang Chuang
Comparison fields: 5 of 113
  • Surgery 642
  • Epidemiology 522
  • Economics and Econometrics 388
  • General Health Professions 295
  • Pharmacology 226
Replace Tracie C. Collins with:
Tracie C. Collins United States
Aída Ribera Spain
Seiji Bito Japan
Gaietà Permanyer-Miralda Spain
Kim G. Smolderen United States
John J. Riva Canada
José Miguel Baena-Díez Spain
Jeonghoon Ahn South Korea
Patricia D. Franklin United States
John Woolcott United States
Ling‐Hsiang Chuang relative to Tracie C. Collins United States Tracie C. Collins's profile →
Citations per field
00.5×2.5×
Tracie C. Collins · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 9
4 28
5 12
6 0
7 30
8 2
9 1
10 1
11 11
12 47
13 22
14 47
15 4
16
South Korean Time Trade-Off Values for EQ-5D Health States: Modeling with Observed Values for 101 Health Statesbreakdown →
386
17 18
18 38
19 46
20 47

About Ling‐Hsiang Chuang

Ling‐Hsiang Chuang is a scholar working on Internal Medicine, Economics and Econometrics and Family Practice, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this 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). The work is most often cited by research in Internal Medicine (176 citations), Rehabilitation (131 citations) and Epidemiology (522 citations). Ling‐Hsiang Chuang has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent 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. Their work appears in journals such as JAMA, Annals of Internal Medicine and Spine.

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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