Xueling Sim
Impact in
- Genetics top 0.05%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Ophthalmology top 0.2%
- Retinal Diseases and Treatments
Papers in
- Genetics 129
- Genetic Associations and Epidemiology 113
- Genetic Mapping and Diversity in Plants and Animals 15
- Genomics and Rare Diseases 14
- Genetic and phenotypic traits in livestock 14
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- Retinal Diseases and Treatments 16
- Glaucoma and retinal disorders 13
- Co-authors
- E Shyong Tai (36 shared papers)Kee Seng Chia (12 shared papers)Tien Yin Wong (17 shared papers)Mark T. Seielstad (9 shared papers)Rob M. van Dam (26 shared papers)Rick Twee‐Hee Ong (10 shared papers)Yik‐Ying Teo (13 shared papers)Jianjun Liu (15 shared papers)
- Journals
- Nature Genetics (24 papers)Human Molecular Genetics (17 papers)Nature Communications (13 papers)Nature (11 papers)PLoS ONE (9 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Xueling Sim
213 papers receiving 27.8k citations
Xueling Sim's Hit Papers
Peers
Comparison fields: 5 of 218
- Genetics 10.6k
- Ophthalmology 1.7k
- Endocrinology, Diabetes and Metabolism 3.1k
- Nephrology 926
- Molecular Biology 7.6k
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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Biological, clinical and population relevance of 95 loci for blood lipids Hit paper breakdown → | 2010 | 2946 |
| 2 | Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk Hit paper breakdown → | 2011 | 1677 |
| 3 | Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps Hit paper breakdown → | 2018 | 1275 |
| 4 | Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults Hit paper breakdown → | 2024 | 1250 |
| 5 | Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries Hit paper breakdown → | 2018 | 1083 |
| 6 | Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility Hit paper breakdown → | 2014 | 868 |
| 7 | The genetic architecture of type 2 diabetes Hit paper breakdown → | 2016 | 839 |
| 8 | Genome-Wide Association Study of Retinopathy in Individuals without Diabetes Hit paper breakdown → | 2013 | 735 |
| 9 | Seven new loci associated with age-related macular degeneration Hit paper breakdown → | 2013 | 672 |
| 10 | A catalog of genetic loci associated with kidney function from analyses of a million individuals Hit paper breakdown → | 2019 | 605 |
| 11 | The power of genetic diversity in genome-wide association studies of lipids Hit paper breakdown → | 2021 | 583 |
| 12 | Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians Hit paper breakdown → | 2011 | 524 |
| 13 | The trans-ancestral genomic architecture of glycemic traits Hit paper breakdown → | 2021 | 490 |
| 14 | Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians Hit paper breakdown → | 2011 | 482 |
| 15 | Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants Hit paper breakdown → | 2024 | 478 |
| 16 | Rare and low-frequency coding variants alter human adult height Hit paper breakdown → | 2017 | 476 |
| 17 | A saturated map of common genetic variants associated with human height Hit paper breakdown → | 2022 | 456 |
| 18 | 2011 | 452 | |
| 19 | Exome-wide association study of plasma lipids in >300,000 individuals Hit paper breakdown → | 2017 | 437 |
| 20 | Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation Hit paper breakdown → | 2022 | 435 |
About Xueling Sim
Xueling Sim is a scholar working on Genetics, Ophthalmology, Cancer Research, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 222 papers that have together received 28.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (113 papers), Epigenetics and DNA Methylation (16 papers), Retinal Diseases and Treatments (16 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Genomics and Rare Diseases (14 papers), Genetic and phenotypic traits in livestock (14 papers), Glaucoma and retinal disorders (13 papers) and Bioinformatics and Genomic Networks (12 papers). The work is most often cited by research in Genetics (10.6k citations), Ophthalmology (1.7k citations), Endocrinology, Diabetes and Metabolism (3.1k citations), Nephrology (926 citations) and Molecular Biology (7.6k citations). Xueling Sim has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include E Shyong Tai, Kee Seng Chia, Tien Yin Wong, Mark T. Seielstad, Rob M. van Dam, Rick Twee‐Hee Ong, Yik‐Ying Teo, Jianjun Liu, Seang‐Mei Saw and Tin Aung. Their work appears in journals such as Nature Genetics, Human Molecular Genetics, Nature Communications, Nature and PLoS ONE.
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.