Nathan LaPierre
Impact in
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- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
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- Genetic Associations and Epidemiology
Papers in
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- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 3
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic Associations and Epidemiology 4
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Eleazar Eskin (9 shared papers)Wei Wang (2 shared papers)Guangyu Zhou (1 shared paper)Chelsea J.‐T. Ju (1 shared paper)Serghei Mangul (4 shared papers)Mohammed Alser (4 shared papers)David Koslicki (3 shared papers)Farhad Hormozdiari (1 shared paper)
- Journals
- Cell Genomics (1 paper)PLoS Genetics (1 paper)BMC Bioinformatics (1 paper)Cell Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwitzerlandSaudi Arabia
In The Last Decade
Nathan LaPierre
16 papers receiving 241 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 140
- Genetics 49
- Ophthalmology 15
- Health Information Management 5
- Neurology 16
Countries citing papers authored by Nathan LaPierre
This map shows the geographic impact of Nathan LaPierre'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 LaPierre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan LaPierre more than expected).
Fields of papers citing papers by Nathan LaPierre
This network shows the impact of papers produced by Nathan LaPierre. 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 LaPierre. The network helps show where Nathan LaPierre may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan LaPierre, 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 | 2019 | 64 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 25 | |
| 5 | 2019 | 25 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 10 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2015 | 1 | |
| 17 | 2024 | 0 |
About Nathan LaPierre
Nathan LaPierre is a scholar working on Molecular Biology, Genetics, Ecology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 241 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic Associations and Epidemiology (4 papers), Machine Learning in Bioinformatics (3 papers), Genetic and phenotypic traits in livestock (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Biology (140 citations), Genetics (49 citations), Ophthalmology (15 citations), Health Information Management (5 citations) and Neurology (16 citations). Nathan LaPierre has collaborated with scholars based in United States, Switzerland and Saudi Arabia. Frequent co-authors include Eleazar Eskin, Wei Wang, Guangyu Zhou, Chelsea J.‐T. Ju, Serghei Mangul, Mohammed Alser, David Koslicki, Farhad Hormozdiari, Helen J. Huang and Brian L. Hill. Their work appears in journals such as Cell Genomics, PLoS Genetics, BMC Bioinformatics, Cell Reports and Nature Communications.
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.