Linda Tsang
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies 15
- Systemic Lupus Erythematosus Research 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Management and Education 2
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- Adipokines, Inflammation, and Metabolic Diseases 5
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- Autoimmune and Inflammatory Disorders Research 4
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- Cardiac Imaging and Diagnostics 5
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
- Co-authors
- Patrick H DesseinGavin R. NortonAngela J. WoodiwissAhmed SolomonJuliana C.N. ChanClive S. CockramAletta M. E. MillenGary T.C. Ko
- Partner nations
- South AfricaSpainBelgium
In The Last Decade
Linda Tsang
31 papers receiving 416 citations
Peers
Comparison fields: 5 of 57
- Rheumatology 164
- Cardiology and Cardiovascular Medicine 105
- Endocrinology, Diabetes and Metabolism 76
- Epidemiology 111
- Hematology 34
Countries citing papers authored by Linda Tsang
This map shows the geographic impact of Linda Tsang'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 Linda Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Tsang more than expected).
Fields of papers citing papers by Linda Tsang
This network shows the impact of papers produced by Linda Tsang. 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 Linda Tsang. The network helps show where Linda Tsang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linda Tsang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2019 | 5 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 1 | |
| 7 | Arterial Wave Reflection and Subclinical Atherosclerosis in Rheumatoid Arthritis | 2017 | 5 |
| 8 | 2017 | 5 | |
| 9 | 2017 | 12 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 16 | |
| 13 | 2015 | 28 | |
| 14 | 2015 | 1 | |
| 15 | 2014 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2014 | 30 | |
| 18 | 2014 | 11 | |
| 19 | 2014 | 13 | |
| 20 | 2000 | 1 |
About Linda Tsang
Linda Tsang is a scholar working on Rheumatology, Hematology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 424 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (15 papers), Systemic Lupus Erythematosus Research (8 papers), Cardiac Imaging and Diagnostics (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Diabetes Management and Education (2 papers). The work is most often cited by research in Rheumatology (164 citations), Cardiology and Cardiovascular Medicine (105 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Linda Tsang has collaborated with scholars based in South Africa, Spain and Belgium. Frequent co-authors include Patrick H Dessein, Gavin R. Norton, Angela J. Woodiwiss, Ahmed Solomon, Juliana C.N. Chan, Clive S. Cockram, Aletta M. E. Millen, Gary T.C. Ko, Miguel Á. González‐Gay and Alfonso Corrales. Their work appears in journals such as PLoS ONE, Diabetes Care and Annals of the Rheumatic Diseases.
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.