Lee Suan Teh
- Rheumatology top 1%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Co-authors
- Ian N BruceDavid IsenbergCaroline GordonDavid D’CruzVernon T. FarewellMunther A. KhamashtaMohamed AkilBridget Griffiths
- Topics
- Systemic Lupus Erythematosus Research (13 papers)Atherosclerosis and Cardiovascular Diseases (5 papers)Rheumatoid Arthritis Research and Therapies (4 papers)
- Cited by
- RheumatologyImmunologyNephrology
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Lee Suan Teh
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Rheumatology 941
- Immunology 639
- Radiology, Nuclear Medicine and Imaging 242
- Pathology and Forensic Medicine 188
- Molecular Biology 101
Countries citing papers authored by Lee Suan Teh
This map shows the geographic impact of Lee Suan Teh'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 Lee Suan Teh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Suan Teh more than expected).
Fields of papers citing papers by Lee Suan Teh
This network shows the impact of papers produced by Lee Suan Teh. 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 Lee Suan Teh. The network helps show where Lee Suan Teh may publish in the future.
Co-authorship network of co-authors of Lee Suan Teh
This figure shows the co-authorship network connecting the top 25 collaborators of Lee Suan Teh. A scholar is included among the top collaborators of Lee Suan Teh 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 Lee Suan Teh. Lee Suan Teh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 76 | |
| 7 | 36 | |
| 8 | 148 | |
| 9 | 65 | |
| 10 | 49 | |
| 11 | 101 | |
| 12 | 93 | |
| 13 | 448 | |
| 14 | Transforming growth factor-12 polymorphism and systemic lupus erythematosus. | 3 |
| 15 | 34 | |
| 16 | A dysfunctional allele of the mannose binding protein gene associates with systemic lupus erythematosus in a Spanish population. | 72 |
| 17 | Ascorbic acid absorption in patients with systemic sclerosis. | 9 |
About Lee Suan Teh
Lee Suan Teh is a scholar working on Rheumatology, Immunology and Hematology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (13 papers), Atherosclerosis and Cardiovascular Diseases (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). The work is most often cited by research in Rheumatology (941 citations), Immunology (639 citations) and Nephrology (84 citations). Lee Suan Teh has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ian N Bruce, David Isenberg, Caroline Gordon, David D’Cruz, Vernon T. Farewell, Munther A. Khamashta, Mohamed Akil, Bridget Griffiths, Chee‐Seng Yee and Anisur Rahman. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken 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.