David Liew

2.0k citations
63 papers · 802 · h-index 14

Impact in

Papers in

David Liew

59 papers receiving 786 citations

Peers

David Liew
Comparison fields: 5 of 111
  • Toxicology 31
  • Rheumatology 128
  • Health Informatics 9
  • Genetics 64
  • Infectious Diseases 112
Replace Nadine Petitpain with:
Nadine Petitpain France
Stefan Weiler Switzerland
Young Woon Chang South Korea
Kim Lauper Switzerland
Van Selby United States
Sebastian E. Sattui United States
Yan Ding China
Ahmed Afifi Egypt
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David Liew relative to Nadine Petitpain France Nadine Petitpain's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Liew

Since Specialization
Citations

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

Fields of papers citing papers by David Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Liew. 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 David Liew. The network helps show where David Liew may publish in the future.

Co-authors

The 25 scholars most cited alongside David Liew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Liew Line = papers co-authored together David Liew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202299
2 202090
3 202170
4 202268
5 200849
6 201843
7 202242
8 202033
9 202332
10 201930
11 202228
12 201722
13 202120
14 202314
15 202013
16 202313
17 202011
18 202411
19 20207
20
Evidence to inform the inclusion of Schedule 4 prescription medications on a real-time prescription monitoring system
20177

About David Liew

David Liew is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Oncology, Genetics and Immunology, having authored 63 papers that have together received 802 indexed citations. Recurring topics across this work include Vasculitis and related conditions (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Systemic Lupus Erythematosus Research (4 papers), Urticaria and Related Conditions (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Toxicology (31 citations), Rheumatology (128 citations), Health Informatics (9 citations), Genetics (64 citations) and Infectious Diseases (112 citations). David Liew has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Philip C. Robinson, Christopher McMaster, Russell Buchanan, Claire Owen, Helen Tanner, Albert G. Frauman, Marc Feldmann, Duncan Richards, Tue Wenzel Kragstrup and Jean W. Liew. Their work appears in journals such as The Lancet Rheumatology, Lara D. Veeken, Drug Safety, European Journal of Nuclear Medicine and Molecular Imaging and Value in Health.

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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