Lawrence Ng
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
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- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
Papers in
- Rheumatology 17
- Systemic Lupus Erythematosus Research 17
-
- Autoimmune and Inflammatory Disorders Research 5
- Co-authors
- Earl D. Silverman (14 shared papers)Timothy J. Bradley (4 shared papers)Deborah M. Levy (16 shared papers)Pascal N. Tyrrell (2 shared papers)Joanne M. Bargman (1 shared paper)Linda T. Hiraki (17 shared papers)Julie Barsalou (2 shared papers)Cameron Slorach (3 shared papers)
- Journals
- The Journal of Rheumatology (7 papers)Lara D. Veeken (4 papers)Arthritis & Rheumatology (3 papers)Arthritis Care & Research (2 papers)Lupus (2 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Lawrence Ng
25 papers receiving 249 citations
Peers
Comparison fields: 5 of 47
- Rheumatology 135
- Immunology 70
- Hematology 33
- Endocrine and Autonomic Systems 14
- Speech and Hearing 13
Countries citing papers authored by Lawrence Ng
This map shows the geographic impact of Lawrence Ng'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 Lawrence Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Ng more than expected).
Fields of papers citing papers by Lawrence Ng
This network shows the impact of papers produced by Lawrence Ng. 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 Lawrence Ng. The network helps show where Lawrence Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lawrence Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 51 | |
| 2 | 2019 | 44 | |
| 3 | 2015 | 32 | |
| 4 | 2015 | 20 | |
| 5 | 1970 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 13 | |
| 8 | 1988 | 13 | |
| 9 | 2019 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 1996 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 1997 | 2 | |
| 20 | 2022 | 1 |
About Lawrence Ng
Lawrence Ng is a scholar working on Rheumatology, Hematology, Cardiology and Cardiovascular Medicine, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 262 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (17 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Cardiac Imaging and Diagnostics (1 paper), Bone and Joint Diseases (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Diabetes and associated disorders (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Rheumatology (135 citations), Immunology (70 citations), Hematology (33 citations), Endocrine and Autonomic Systems (14 citations) and Speech and Hearing (13 citations). Lawrence Ng has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Earl D. Silverman, Timothy J. Bradley, Deborah M. Levy, Pascal N. Tyrrell, Joanne M. Bargman, Linda T. Hiraki, Julie Barsalou, Cameron Slorach, Andrew D. Paterson and Zahi Touma. Their work appears in journals such as The Journal of Rheumatology, Lara D. Veeken, Arthritis & Rheumatology, Arthritis Care & Research and Lupus.
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.