David Liew

3.7k citations
74 papers · 839 · h-index 14

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Spondyloarthritis Studies and Treatments
  • Toxicology top 5%

Papers in

David Liew

67 papers receiving 820 citations

Peers

David Liew
Comparison fields: 5 of 109
  • Rheumatology 232
  • Toxicology 36
  • Health Informatics 13
  • Genetics 92
  • Infectious Diseases 144
Replace Nadine Petitpain with:
Nadine Petitpain France
Vir Singh Negi India
Victor Lei United States
Jae Won Yang South Korea
Malcolm L. Brigden Canada
Raj Patel United Kingdom
Sushil Ghimire United States
Newton A C S Wong United Kingdom
G. Aulagner France
Jan van Wijngaarden Netherlands
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Citations per field
00.5×3.3×
Nadine Petitpain · 1×
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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202292
2 202088
3 202168
4 202264
5 201857
6 200850
7 201843
8 202237
9 202329
10 202029
11 201927
12 202224
13 201719
14 202117
15 202013
16 202311
17 20239
18 20249
19 20209
20 20208

About David Liew

David Liew is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Immunology, having authored 74 papers that have together received 839 indexed citations. Recurring topics across this work include Vasculitis and related conditions (14 papers), Rheumatoid Arthritis Research and Therapies (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (11 papers), Cancer Immunotherapy and Biomarkers (7 papers), Urticaria and Related Conditions (6 papers), Biosimilars and Bioanalytical Methods (6 papers), Systemic Lupus Erythematosus Research (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers). The work is most often cited by research in Rheumatology (232 citations), Toxicology (36 citations), Health Informatics (13 citations), Genetics (92 citations) and Infectious Diseases (144 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, Sofía Ramiro, Lianne S. Gensler, Albert G. Frauman, Helen Tanner, Duncan Richards, Marc Feldmann and Claire Owen. Their work appears in journals such as Lara D. Veeken, The Lancet Rheumatology, Drug Safety, Rheumatic Disease Clinics of North America and The Journal of Rheumatology.

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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