Lon R. Cardon
- Genetics top 0.01%
- Molecular Biology top 0.5%
- Immunology top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Epidemiology top 1%
- Co-authors
- Michael C. NealeGonçalo R. AbecasisStacey S. ChernyWilliam CooksonKrina T. ZondervanJohn I. BellLyle J. PalmerJonathan Marchini
- Topics
- Genetic Associations and Epidemiology (78 papers)Genetic Mapping and Diversity in Plants and Animals (40 papers)Genetic and phenotypic traits in livestock (23 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Lon R. Cardon
188 papers receiving 27.4k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Genetics 13.6k
- Molecular Biology 8.9k
- Immunology 2.6k
- Experimental and Cognitive Psychology 2.2k
- Epidemiology 2.1k
Countries citing papers authored by Lon R. Cardon
This map shows the geographic impact of Lon R. Cardon'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 Lon R. Cardon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lon R. Cardon more than expected).
Fields of papers citing papers by Lon R. Cardon
This network shows the impact of papers produced by Lon R. Cardon. 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 Lon R. Cardon. The network helps show where Lon R. Cardon may publish in the future.
Co-authorship network of co-authors of Lon R. Cardon
This figure shows the co-authorship network connecting the top 25 collaborators of Lon R. Cardon. A scholar is included among the top collaborators of Lon R. Cardon 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 Lon R. Cardon. Lon R. Cardon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 199 | |
| 2 | 311 | |
| 3 | 28 | |
| 4 | 64 | |
| 5 | 112 | |
| 6 | 79 | |
| 7 | 69 | |
| 8 | 138 | |
| 9 | Genome-wide strategies for detecting multiple loci that influence complex diseasesbreakdown → | 677 |
| 10 | LOCI FOR REGULATION OF BMD IN MEN AND WOMEN THE FAMOS STUDY | 3 |
| 11 | 109 | |
| 12 | 98 | |
| 13 | Linkage disequilibrium mapping via cladistic analysis of SNP haplotypes. | 7 |
| 14 | Determinants of success in genetic association studies of complex traits. | 1 |
| 15 | 48 | |
| 16 | 78 | |
| 17 | A candidate gene study of F cell levels in sibling pairs using a joint linkage and association analysis. | 2 |
| 18 | 91 | |
| 19 | 148 | |
| 20 | 97 |
About Lon R. Cardon
Lon R. Cardon is a scholar working on Genetics, Experimental and Cognitive Psychology and Molecular Biology, having authored 188 papers that have together received 28.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (78 papers), Genetic Mapping and Diversity in Plants and Animals (40 papers) and Genetic and phenotypic traits in livestock (23 papers). The work is most often cited by research in Genetics (13.6k citations), Experimental and Cognitive Psychology (2.2k citations) and Molecular Biology (8.9k citations). Lon R. Cardon has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Michael C. Neale, Gonçalo R. Abecasis, Stacey S. Cherny, William Cookson, Krina T. Zondervan, John I. Bell, Lyle J. Palmer, Jonathan Marchini, Peter Donnelly and Mark I. McCarthy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.