Daniel J. Lawson
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Forensic and Genetic Research
- Genetic Mapping and Diversity in Plants and Animals
- Race, Genetics, and Society
- Paleontology top 5%
Papers in
- Genetics 34
- Genetic Associations and Epidemiology 16
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 9
- Forensic and Genetic Research 7
- Evolution and Genetic Dynamics 7
- Co-authors
- Daniel FalushSimon MyersGarrett HellenthalLucy van DorpEmiliano TrucchiMilan MalinskyNicholas J. TimpsonXavier Didelot
- Journals
- Nature Communications (4 papers)Molecular Ecology (3 papers)Molecular Biology and Evolution (3 papers)Journal of Theoretical Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- United KingdomUnited StatesEstonia
In The Last Decade
Daniel J. Lawson
55 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Genetics 2.0k
- Paleontology 153
- Ecological Modeling 82
- Archeology 166
- Ecology 332
Countries citing papers authored by Daniel J. Lawson
This map shows the geographic impact of Daniel J. Lawson'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 Daniel J. Lawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Lawson more than expected).
Fields of papers citing papers by Daniel J. Lawson
This network shows the impact of papers produced by Daniel J. Lawson. 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 Daniel J. Lawson. The network helps show where Daniel J. Lawson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Lawson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 11 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 176 | |
| 12 | 2019 | 142 | |
| 13 | 2019 | 32 | |
| 14 | A tutorial on how not to over-interpret STRUCTURE and ADMIXTURE bar plots Hit paper breakdown → | 2018 | 323 |
| 15 | 2017 | 67 | |
| 16 | 2014 | 5 | |
| 17 | 2014 | 110 | |
| 18 | 2010 | 120 | |
| 19 | 2009 | 1 | |
| 20 | 2006 | 22 |
About Daniel J. Lawson
Daniel J. Lawson is a scholar working on Genetics, Geography, Planning and Development, Developmental Biology, Orthopedics and Sports Medicine and Statistics and Probability, having authored 59 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (16 papers), Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Forensic and Genetic Research (7 papers), Evolution and Genetic Dynamics (7 papers), Evolutionary Game Theory and Cooperation (6 papers), Genomics and Phylogenetic Studies (5 papers) and Sports Performance and Training (4 papers). The work is most often cited by research in Genetics (2.0k citations), Paleontology (153 citations), Ecological Modeling (82 citations), Archeology (166 citations) and Ecology (332 citations). Daniel J. Lawson has collaborated with scholars based in United Kingdom, United States and Estonia. Frequent co-authors include Daniel Falush, Simon Myers, Garrett Hellenthal, Lucy van Dorp, Emiliano Trucchi, Milan Malinsky, Nicholas J. Timpson, Xavier Didelot, Celia M.T. Greenwood and Nicole Soranzo. Their work appears in journals such as Nature Communications, Molecular Ecology, Molecular Biology and Evolution, Journal of Theoretical Biology and Scientific Reports.
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.