Mark Seielstad
- Genetics top 0.5%
- Genetic Associations and Epidemiology 18
- Forensic and Genetic Research 14
- Genetic diversity and population structure 13
- Genomic variations and chromosomal abnormalities 7
- Genomics and Rare Diseases 5
- Statistics and Probability top 2%
- Immunology top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 7
- Archeology top 1%
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- Mycobacterium research and diagnosis 6
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- Molecular Biology Techniques and Applications 5
- Co-authors
- Kristin ArdlieLeonid KruglyakAnna Pérez-LezaunJonathan K. PritchardM.W. FeldmanL. Luca Cavalli-SforzaEric MinchXueling Sim
- Journals
- The American Journal of Human Genetics (6 papers)PLoS ONE (4 papers)Genes and Immunity (4 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Mark Seielstad
69 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Genetics 3.0k
- Statistics and Probability 261
- Immunology 622
- Infectious Diseases 532
- Archeology 232
Countries citing papers authored by Mark Seielstad
This map shows the geographic impact of Mark Seielstad'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 Mark Seielstad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Seielstad more than expected).
Fields of papers citing papers by Mark Seielstad
This network shows the impact of papers produced by Mark Seielstad. 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 Mark Seielstad. The network helps show where Mark Seielstad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Seielstad, 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 | 2018 | 26 | |
| 2 | 2017 | 9 | |
| 3 | 2014 | 13 | |
| 4 | 2011 | 107 | |
| 5 | 2011 | 96 | |
| 6 | 2010 | 3 | |
| 7 | 2010 | 65 | |
| 8 | 2009 | 17 | |
| 9 | 2009 | 64 | |
| 10 | 2008 | 205 | |
| 11 | 2008 | 106 | |
| 12 | 2007 | 187 | |
| 13 | 2003 | 72 | |
| 14 | 2003 | 16 | |
| 15 | 2002 | 174 | |
| 16 | 2000 | 26 | |
| 17 | 2000 | 363 | |
| 18 | 1999 | 72 | |
| 19 | 1998 | 452 | |
| 20 | 1997 | 70 |
About Mark Seielstad
Mark Seielstad is a scholar working on Genetics, Immunology, Epidemiology, Cancer Research and Infectious Diseases, having authored 69 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Forensic and Genetic Research (14 papers), Genetic diversity and population structure (13 papers), Tuberculosis Research and Epidemiology (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Mycobacterium research and diagnosis (6 papers), Genomics and Rare Diseases (5 papers) and Molecular Biology Techniques and Applications (5 papers). The work is most often cited by research in Genetics (3.0k citations), Statistics and Probability (261 citations), Immunology (622 citations), Infectious Diseases (532 citations) and Archeology (232 citations). Mark Seielstad has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Kristin Ardlie, Leonid Kruglyak, Anna Pérez-Lezaun, Jonathan K. Pritchard, M.W. Feldman, L. Luca Cavalli-Sforza, Eric Minch, Xueling Sim, Martin L. Hibberd and Kathryn L. Lunetta. Their work appears in journals such as The American Journal of Human Genetics, PLoS ONE, Genes and Immunity, Human Molecular Genetics and Transfusion.
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.