Charles Laurin
- Genetics top 0.5%
- Molecular Biology top 5%
- Epidemiology top 5%
- Physiology top 5%
- Rheumatology top 2%
- Co-authors
- David M. EvansGibran HemaniTom R. GauntJie ZhengBenjamin ElsworthPhilip HaycockGeorge Davey SmithCaroline L. Relton
- Topics
- Genetic Associations and Epidemiology (12 papers)Genetic and phenotypic traits in livestock (6 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Charles Laurin
15 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Genetics 2.6k
- Molecular Biology 1.3k
- Epidemiology 743
- Physiology 629
- Rheumatology 506
Countries citing papers authored by Charles Laurin
This map shows the geographic impact of Charles Laurin'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 Charles Laurin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Laurin more than expected).
Fields of papers citing papers by Charles Laurin
This network shows the impact of papers produced by Charles Laurin. 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 Charles Laurin. The network helps show where Charles Laurin may publish in the future.
Co-authorship network of co-authors of Charles Laurin
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Laurin. A scholar is included among the top collaborators of Charles Laurin 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 Charles Laurin. Charles Laurin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The MR-Base platform supports systematic causal inference across the human phenomebreakdown → | 4374 |
| 2 | 17 | |
| 3 | 4 | |
| 4 | LD hub and MR-base: online platforms for preforming LD score regression and Mendelian randomization analysis using GWAS summary data | 5 |
| 5 | LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysisbreakdown → | 406 |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 27 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 42 | |
| 13 | 88 | |
| 14 | 13 | |
| 15 | A CLASSIFICATION BASED ON THE ANALYSIS OF 131 CASES | 28 |
About Charles Laurin
Charles Laurin is a scholar working on Genetics, Experimental and Cognitive Psychology and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Genetics (2.6k citations), Biological Psychiatry (103 citations) and Rheumatology (506 citations). Charles Laurin has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include David M. Evans, Gibran Hemani, Tom R. Gaunt, Jie Zheng, Benjamin Elsworth, Philip Haycock, George Davey Smith, Caroline L. Relton, Valeriia Haberland and James Yarmolinsky. Their work appears in journals such as Bioinformatics, PLoS ONE and Biological Psychiatry.
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.