Xueling Sim
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Nutrition, Genetics, and Disease
- Ophthalmology top 2%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
- Genetics 32
- Genetic Associations and Epidemiology 28
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 6
-
- Metabolomics and Mass Spectrometry Studies 7
- Epigenetics and DNA Methylation 5
- Co-authors
- E Shyong Tai (36 shared papers)Mark Seielstad (10 shared papers)Tien Yin Wong (21 shared papers)Rick Twee‐Hee Ong (11 shared papers)Rob M. van Dam (25 shared papers)Yik‐Ying Teo (15 shared papers)Kee Seng Chia (7 shared papers)Kee‐Seng Chia (6 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (5 papers)Diabetes (4 papers)European Journal of Human Genetics (3 papers)PLoS Genetics (3 papers)BMJ Open Diabetes Research & Care (3 papers)
- Partner nations
- SingaporeUnited StatesAustralia
In The Last Decade
Xueling Sim
67 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Genetics 603
- Ophthalmology 183
- Endocrinology, Diabetes and Metabolism 159
- Physiology 228
- Cancer Research 132
Countries citing papers authored by Xueling Sim
This map shows the geographic impact of Xueling Sim'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 Xueling Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueling Sim more than expected).
Fields of papers citing papers by Xueling Sim
This network shows the impact of papers produced by Xueling Sim. 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 Xueling Sim. The network helps show where Xueling Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Xueling Sim, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 130 | |
| 2 | 2009 | 120 | |
| 3 | 2010 | 112 | |
| 4 | 2019 | 109 | |
| 5 | 2011 | 107 | |
| 6 | 2010 | 93 | |
| 7 | 2011 | 79 | |
| 8 | 2006 | 78 | |
| 9 | 2018 | 68 | |
| 10 | 2008 | 50 | |
| 11 | 2013 | 41 | |
| 12 | 2008 | 37 | |
| 13 | 2024 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2011 | 29 | |
| 16 | 2011 | 26 | |
| 17 | 2010 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 23 | |
| 20 | 2021 | 21 |
About Xueling Sim
Xueling Sim is a scholar working on Genetics, Molecular Biology, Epidemiology, Physiology and Public Health, Environmental and Occupational Health, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (28 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Genetic and phenotypic traits in livestock (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Nutritional Studies and Diet (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Genetics (603 citations), Ophthalmology (183 citations), Endocrinology, Diabetes and Metabolism (159 citations), Physiology (228 citations) and Cancer Research (132 citations). Xueling Sim has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include E Shyong Tai, Mark Seielstad, Tien Yin Wong, Rick Twee‐Hee Ong, Rob M. van Dam, Yik‐Ying Teo, Kee Seng Chia, Kee‐Seng Chia, Jianjun Liu and Seang‐Mei Saw. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes, European Journal of Human Genetics, PLoS Genetics and BMJ Open Diabetes Research & Care.
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.