Leo Speidel
Impact in
- Genetics top 10%
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Genetic and phenotypic traits in livestock
- Evolution and Genetic Dynamics
-
- Complex Network Analysis Techniques
Papers in
- Genetics 7
- Forensic and Genetic Research 4
- Genetic diversity and population structure 3
- Genetic Associations and Epidemiology 2
- Nutrition, Genetics, and Disease 1
- Co-authors
- Simon MyersMarie ForestSinan ShiRasmus NielsenAaron J. SternNoah ZaitlenNaoki MasudaPontus Skoglund
- Journals
- The American Journal of Human Genetics (1 paper)Nature Genetics (1 paper)Molecular Biology and Evolution (1 paper)Diabetes (1 paper)New Journal of Physics (1 paper)
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Leo Speidel
11 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Genetics 284
- Statistical and Nonlinear Physics 33
- Aging 4
- Paleontology 16
- Molecular Biology 147
Countries citing papers authored by Leo Speidel
This map shows the geographic impact of Leo Speidel'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 Leo Speidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Speidel more than expected).
Fields of papers citing papers by Leo Speidel
This network shows the impact of papers produced by Leo Speidel. 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 Leo Speidel. The network helps show where Leo Speidel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leo Speidel, 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 | 7 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 34 | |
| 7 | A method for genome-wide genealogy estimation for thousands of samples Hit paper breakdown → | 2019 | 273 |
| 8 | 2019 | 2 | |
| 9 | 2018 | 20 | |
| 10 | 2016 | 21 | |
| 11 | 2015 | 15 |
About Leo Speidel
Leo Speidel is a scholar working on Geriatrics and Gerontology, Genetics, Statistical and Nonlinear Physics, Mathematical Physics and Health, Toxicology and Mutagenesis, having authored 11 papers that have together received 430 indexed citations. Recurring topics across this work include Forensic and Genetic Research (4 papers), Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (3 papers), Genetic Associations and Epidemiology (2 papers), Complex Network Analysis Techniques (2 papers), Opinion Dynamics and Social Influence (2 papers), Nutrition, Genetics, and Disease (1 paper) and Digital Image Processing Techniques (1 paper). The work is most often cited by research in Genetics (284 citations), Statistical and Nonlinear Physics (33 citations), Aging (4 citations), Paleontology (16 citations) and Molecular Biology (147 citations). Leo Speidel has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Simon Myers, Marie Forest, Sinan Shi, Rasmus Nielsen, Aaron J. Stern, Noah Zaitlen, Naoki Masuda, Pontus Skoglund, Lara M. Cassidy and S. Jonathan Chapman. Their work appears in journals such as The American Journal of Human Genetics, Nature Genetics, Molecular Biology and Evolution, Diabetes and New Journal of Physics.
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.