Sylvia S. Lim-Tio
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Physiology
- Co-authors
- Peter J. FullerFrancine E. BrennanMaria-Cristina KeightleyWayne D. TilleyDebbie HorsfallJames O. AspinallVillis R. MarshallDavid J. Handelsman
- Topics
- Hormonal Regulation and Hypertension (7 papers)Estrogen and related hormone effects (6 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Sylvia S. Lim-Tio
9 papers receiving 506 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 372
- Genetics 169
- Molecular Biology 160
- Pulmonary and Respiratory Medicine 95
- Physiology 74
Countries citing papers authored by Sylvia S. Lim-Tio
This map shows the geographic impact of Sylvia S. Lim-Tio'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 Sylvia S. Lim-Tio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia S. Lim-Tio more than expected).
Fields of papers citing papers by Sylvia S. Lim-Tio
This network shows the impact of papers produced by Sylvia S. Lim-Tio. 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 Sylvia S. Lim-Tio. The network helps show where Sylvia S. Lim-Tio may publish in the future.
Co-authorship network of co-authors of Sylvia S. Lim-Tio
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia S. Lim-Tio. A scholar is included among the top collaborators of Sylvia S. Lim-Tio 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 Sylvia S. Lim-Tio. Sylvia S. Lim-Tio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 63 | |
| 2 | 16 | |
| 3 | 33 | |
| 4 | 216 | |
| 5 | 54 | |
| 6 | 20 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | Detection of discrete androgen receptor epitopes in prostate cancer by immunostaining: measurement by color video image analysis. | 105 |
About Sylvia S. Lim-Tio
Sylvia S. Lim-Tio is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (7 papers), Estrogen and related hormone effects (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (372 citations), Behavioral Neuroscience (30 citations) and Genetics (169 citations). Sylvia S. Lim-Tio has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Peter J. Fuller, Francine E. Brennan, Maria-Cristina Keightley, Wayne D. Tilley, Debbie Horsfall, James O. Aspinall, Villis R. Marshall, David J. Handelsman, Stewart M. Dunn and Jennifer Wallace. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Kidney International.
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.