Lachlan Coin
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
- Genetic and phenotypic traits in livestock
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 49
- Genetic Associations and Epidemiology 28
- Genomic variations and chromosomal abnormalities 20
- Genetic Mapping and Diversity in Plants and Animals 9
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- Tuberculosis Research and Epidemiology 16
- Co-authors
- P. Andrew Futreal (1 shared paper)Mhairi S. Marshall (1 shared paper)Tim Hubbard (1 shared paper)Richard Wooster (1 shared paper)Thomas A. Down (1 shared paper)Michael R. Stratton (1 shared paper)Nazneen Rahman (1 shared paper)Marjo-Riitta Jaervelin (9 shared papers)
- Journals
- Bioinformatics (12 papers)Nature Genetics (12 papers)PLoS ONE (7 papers)GigaScience (6 papers)Briefings in Bioinformatics (6 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Lachlan Coin
188 papers receiving 40.9k citations
Lachlan Coin's Hit Papers
Peers
Comparison fields: 5 of 208
- Genetics 16.9k
- Cancer Research 3.5k
- Molecular Biology 14.7k
- Endocrine and Autonomic Systems 1.1k
- Endocrinology, Diabetes and Metabolism 1.8k
Countries citing papers authored by Lachlan Coin
This map shows the geographic impact of Lachlan Coin'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 Lachlan Coin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lachlan Coin more than expected).
Fields of papers citing papers by Lachlan Coin
This network shows the impact of papers produced by Lachlan Coin. 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 Lachlan Coin. The network helps show where Lachlan Coin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lachlan Coin, 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 194 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A global reference for human genetic variation Hit paper breakdown → | 2015 | 12574 |
| 2 | An integrated map of genetic variation from 1,092 human genomes Hit paper breakdown → | 2012 | 6211 |
| 3 | A census of human cancer genes Hit paper breakdown → | 2004 | 2481 |
| 4 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 2419 |
| 5 | New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk Hit paper breakdown → | 2010 | 1842 |
| 6 | Hundreds of variants clustered in genomic loci and biological pathways affect human height Hit paper breakdown → | 2010 | 1546 |
| 7 | Genome-wide association study identifies eight loci associated with blood pressure Hit paper breakdown → | 2009 | 1019 |
| 8 | Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution Hit paper breakdown → | 2010 | 782 |
| 9 | Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index Hit paper breakdown → | 2010 | 761 |
| 10 | Variants in MTNR1B influence fasting glucose levels Hit paper breakdown → | 2008 | 634 |
| 11 | Genome-wide association analysis of metabolic traits in a birth cohort from a founder population Hit paper breakdown → | 2008 | 603 |
| 12 | 2009 | 540 | |
| 13 | Genetic variability in the regulation of gene expression in ten regions of the human brain Hit paper breakdown → | 2014 | 523 |
| 14 | Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma Hit paper breakdown → | 2011 | 471 |
| 15 | 2010 | 420 | |
| 16 | 2011 | 372 | |
| 17 | 2014 | 321 | |
| 18 | 2014 | 310 | |
| 19 | 2013 | 295 | |
| 20 | 2012 | 275 |
About Lachlan Coin
Lachlan Coin is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Epidemiology and Molecular Medicine, having authored 194 papers that have together received 41.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (28 papers), Genomics and Phylogenetic Studies (24 papers), Genomic variations and chromosomal abnormalities (20 papers), Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (11 papers), Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (10 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Genetics (16.9k citations), Cancer Research (3.5k citations), Molecular Biology (14.7k citations), Endocrine and Autonomic Systems (1.1k citations) and Endocrinology, Diabetes and Metabolism (1.8k citations). Lachlan Coin has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include P. Andrew Futreal, Mhairi S. Marshall, Tim Hubbard, Richard Wooster, Thomas A. Down, Michael R. Stratton, Nazneen Rahman, Marjo-Riitta Jaervelin, Minh Duc Cao and Clive J. Hoggart. Their work appears in journals such as Bioinformatics, Nature Genetics, PLoS ONE, GigaScience and Briefings in Bioinformatics.
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.