Gin Nie Chua

409 total citations
26 papers, 308 citations indexed

About

Gin Nie Chua is a scholar working on Economics and Econometrics, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Gin Nie Chua has authored 26 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 8 papers in General Health Professions and 4 papers in Geriatrics and Gerontology. Recurrent topics in Gin Nie Chua's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Economic and Environmental Valuation (7 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Gin Nie Chua is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Economic and Environmental Valuation (7 papers) and Pharmaceutical Practices and Patient Outcomes (4 papers). Gin Nie Chua collaborates with scholars based in Malaysia, United Kingdom and United States. Gin Nie Chua's co-authors include Asrul Akmal Shafie, Mohamed Azmi Hassali, Ahmed Awaisu, Sebastian Heidenreich, Mandy Ryan, Lauren Powell, Siu Hing Lo, Christine Bond, Timothy R. Smith and Andrew Lloyd and has published in prestigious journals such as PLoS ONE, Journal of Clinical Epidemiology and PLoS Medicine.

In The Last Decade

Gin Nie Chua

22 papers receiving 298 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gin Nie Chua 172 64 62 47 42 26 308
Corinne Zara 181 1.1× 47 0.7× 60 1.0× 52 1.1× 56 1.3× 18 326
Alvaro San-Juan-Rodriguez 156 0.9× 39 0.6× 48 0.8× 49 1.0× 98 2.3× 13 333
Jurij Fürst 161 0.9× 53 0.8× 55 0.9× 26 0.6× 39 0.9× 17 317
Christine E. Hallgreen 161 0.9× 70 1.1× 33 0.5× 26 0.6× 16 0.4× 29 371
Charmaine Girdish 197 1.1× 54 0.8× 99 1.6× 61 1.3× 89 2.1× 10 403
Kristina Garuolienė 407 2.4× 54 0.8× 114 1.8× 94 2.0× 46 1.1× 16 516
Inês Teixeira 151 0.9× 44 0.7× 44 0.7× 35 0.7× 64 1.5× 25 260
Inmyung Song 57 0.3× 58 0.9× 42 0.7× 20 0.4× 30 0.7× 56 384
Elahe Khorasani 82 0.5× 93 1.5× 38 0.6× 23 0.5× 21 0.5× 49 332
Frederic R. Curtiss 140 0.8× 72 1.1× 37 0.6× 31 0.7× 65 1.5× 45 268

Countries citing papers authored by Gin Nie Chua

Since Specialization
Citations

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

Fields of papers citing papers by Gin Nie Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gin Nie Chua. 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 Gin Nie Chua. The network helps show where Gin Nie Chua may publish in the future.

Co-authorship network of co-authors of Gin Nie Chua

This figure shows the co-authorship network connecting the top 25 collaborators of Gin Nie Chua. A scholar is included among the top collaborators of Gin Nie Chua 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 Gin Nie Chua. Gin Nie Chua 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
1.
Chua, Gin Nie, et al.. (2025). Estimating health state utilities for aromatic L-amino acid decarboxylase deficiency (AADCd) in the United States. Health and Quality of Life Outcomes. 23(1). 7–7.
2.
Hall, Randolph W., et al.. (2024). PCR180 Patterns in Attribute Selection Reporting in Patient Preference Studies: A Systematic Review. Value in Health. 27(12). S542–S542.
3.
Chua, Gin Nie, Christine Bond, Terry Porteous, & Mandy Ryan. (2022). Will the Public Engage with New Pharmacy Roles? Assessing Future Uptake of a Community Pharmacy Health Check Using a Discrete Choice Experiment. Patient. 15(4). 473–483. 7 indexed citations
4.
Smith, Timothy R., Gin Nie Chua, Andrew Lloyd, et al.. (2022). A stated preference survey to explore patient preferences for novel preventive migraine treatments. Headache The Journal of Head and Face Pain. 62(9). 1187–1197. 19 indexed citations
5.
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7.
Tervonen, Tommi, et al.. (2021). Net clinical benefit of antiplatelet therapy was affected by patient preferences: A personalized benefit-risk assessment. Journal of Clinical Epidemiology. 144. 84–92.
8.
Denison, Fiona C., Kathryn Carruthers, Jemma Hudson, et al.. (2019). Nitroglycerin for treatment of retained placenta: A randomised, placebo-controlled, multicentre, double-blind trial in the UK. PLoS Medicine. 16(12). e1003001–e1003001. 1 indexed citations
9.
Garris, Cindy, Sebastian Heidenreich, Erin Arthurs, et al.. (2019). 2499. Perceptions of and Preferences for Oral or Long-Acting Injectable Antiretroviral Treatment Regimens in the United States and Canada. Open Forum Infectious Diseases. 6(Supplement_2). S866–S867. 4 indexed citations
10.
Denison, Fiona C., Kathryn Carruthers, Jemma Hudson, et al.. (2019). Glyceryl trinitrate to reduce the need for manual removal of retained placenta following vaginal delivery: the GOT-IT RCT. Health Technology Assessment. 23(70). 1–72. 2 indexed citations
11.
Chua, Gin Nie, et al.. (2018). Impact of a pharmacy-led smoking cessation clinic in a dermatology centre. Singapore Medical Journal. 60(1). 31–33. 6 indexed citations
12.
Shafie, Asrul Akmal, et al.. (2017). Determination of Cost-Effectiveness Threshold for Health Care Interventions in Malaysia. Value in Health. 20(8). 1131–1138. 33 indexed citations
13.
Shafie, Asrul Akmal, et al.. (2014). Determination of Cost-Effectiveness Threshold For Malaysia. Value in Health. 17(7). A438–A438. 7 indexed citations
14.
Shafie, Asrul Akmal, et al.. (2014). Exploring the willingness to pay for a quality-adjusted life-year in the state of Penang, Malaysia. ClinicoEconomics and Outcomes Research. 6. 473–473. 29 indexed citations
15.
Shafie, Asrul Akmal, et al.. (2013). Exploring the Feasibility of the Instrument Used in Determination of Willingness-To-Pay Per Quality-Adjusted Life-Year in Malaysia. Value in Health. 16(7). A596–A597. 2 indexed citations
16.
Hassali, Mohamed Azmi, Fahad Saleem, Gin Nie Chua, N. Haq, & Hisham Aljadhey. (2013). A Cross Sectional Assessment Of Knowledge Towards Diabetes Mellitus Among Urban Poor Population Of Penang, Malaysia. Value in Health. 16(3). A170–A170. 1 indexed citations
17.
Hassali, Mohamed Azmi, et al.. (2013). Patterns and Predictors of Non-Prescription Medicine Use among Malaysian Pharmacy Patrons: A National Cross Sectional Study. PLoS ONE. 8(4). e59231–e59231. 6 indexed citations
18.
Hassali, Mohamed Azmi, Asrul Akmal Shafie, Fahad Saleem, et al.. (2012). PHP83 Community Pharmacist'S Perceptions Towards the Quality of Locally Manufactured Generic Medicines: A Descriptive Study from Malaysia. Value in Health. 15(7). A623–A623. 9 indexed citations
19.
Saleem, Fahad, Mohamed Azmi Hassali, Asrul Akmal Shafie, et al.. (2012). Improving Medication Adherence and Health-Related Quality of Life Among Hypertensive Patients in Pakistan: Is There a Role For Pharmacists?. Research in Social and Administrative Pharmacy. 8(6). e41–e42.
20.
Chua, Gin Nie, Mohamed Azmi Hassali, Asrul Akmal Shafie, & Ahmed Awaisu. (2009). A survey exploring knowledge and perceptions of general practitioners towards the use of generic medicines in the northern state of Malaysia. Health Policy. 95(2-3). 229–235. 107 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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