Nathan K. Schaefer
Impact in
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- Genetic diversity and population structure
- Forensic and Genetic Research
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
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- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 1
- DNA and Nucleic Acid Chemistry 1
- Advanced biosensing and bioanalysis techniques 1
- Genetics 3
- Forensic and Genetic Research 2
- Genetic diversity and population structure 2
- Co-authors
- Richard E. Green (4 shared papers)Beth Shapiro (4 shared papers)Bryan J. Pavlovic (2 shared papers)Alex A. Pollen (2 shared papers)Dov Fox (1 shared paper)Richard She (1 shared paper)Tyler Fair (1 shared paper)Reuben A. Saunders (1 shared paper)
- Journals
- Science Advances (1 paper)Nature (1 paper)Cell (1 paper)Nucleic Acids Research (1 paper)Molecular Ecology (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Nathan K. Schaefer
6 papers receiving 96 citations
Peers
Comparison fields: 5 of 42
- Genetics 50
- Aging 2
- Anthropology 10
- Paleontology 7
- Archeology 9
Countries citing papers authored by Nathan K. Schaefer
This map shows the geographic impact of Nathan K. Schaefer'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 Nathan K. Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan K. Schaefer more than expected).
Fields of papers citing papers by Nathan K. Schaefer
This network shows the impact of papers produced by Nathan K. Schaefer. 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 Nathan K. Schaefer. The network helps show where Nathan K. Schaefer may publish in the future.
Co-authors
The 18 scholars most cited alongside Nathan K. Schaefer, 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 | 2021 | 38 | |
| 2 | 2016 | 22 | |
| 3 | 2023 | 13 | |
| 4 | 2020 | 11 | |
| 5 | 2022 | 7 | |
| 6 | 2017 | 5 | |
| 7 | 2026 | 0 |
About Nathan K. Schaefer
Nathan K. Schaefer is a scholar working on Molecular Biology, Genetics, Paleontology, Anthropology and Ecology, having authored 7 papers that have together received 96 indexed citations. Recurring topics across this work include Forensic and Genetic Research (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (2 papers), Single-cell and spatial transcriptomics (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Genetics (50 citations), Aging (2 citations), Anthropology (10 citations), Paleontology (7 citations) and Archeology (9 citations). Nathan K. Schaefer has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Richard E. Green, Beth Shapiro, Bryan J. Pavlovic, Alex A. Pollen, Dov Fox, Richard She, Tyler Fair, Reuben A. Saunders, Jonathan S. Weissman and Joshua D. Kapp. Their work appears in journals such as Science Advances, Nature, Cell, Nucleic Acids Research and Molecular Ecology.
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.