Nathan LaPierre

1.1k total citations
17 papers, 241 citations indexed

About

Nathan LaPierre is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nathan LaPierre has authored 17 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Ecology. Recurrent topics in Nathan LaPierre's work include Genomics and Phylogenetic Studies (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic Associations and Epidemiology (4 papers). Nathan LaPierre is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic Associations and Epidemiology (4 papers). Nathan LaPierre collaborates with scholars based in United States, Switzerland and Ireland. Nathan LaPierre's co-authors include Eleazar Eskin, Wei Wang, Chelsea J.‐T. Ju, Guangyu Zhou, Mohammed Alser, David Koslicki, Serghei Mangul, Helen J. Huang, Farhad Hormozdiari and Igor Mandric and has published in prestigious journals such as Nature Communications, Nature Protocols and Genome Research.

In The Last Decade

Nathan LaPierre

16 papers receiving 241 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan LaPierre United States 8 140 49 33 23 17 17 241
Carlos Loucera Spain 9 123 0.9× 21 0.4× 14 0.4× 8 0.3× 24 1.4× 27 224
Qiaoxing Liang China 8 114 0.8× 12 0.2× 11 0.3× 18 0.8× 6 0.4× 11 201
Karin Schwarzbauer Austria 4 180 1.3× 207 4.2× 25 0.8× 5 0.2× 16 0.9× 5 385
Pascal Notin United Kingdom 5 390 2.8× 179 3.7× 31 0.9× 19 0.8× 13 0.8× 7 603
Sameer Paithankar United States 7 246 1.8× 142 2.9× 7 0.2× 9 0.4× 8 0.5× 8 354
Ulykbek Kairov Kazakhstan 9 144 1.0× 28 0.6× 21 0.6× 17 0.7× 9 0.5× 47 284
Bo Lei China 7 36 0.3× 30 0.6× 9 0.3× 10 0.4× 10 0.6× 31 182
Dimitri Guala Sweden 9 252 1.8× 52 1.1× 6 0.2× 20 0.9× 12 0.7× 21 307
Tomás Norambuena Chile 7 273 1.9× 36 0.7× 17 0.5× 18 0.8× 1 0.1× 13 426
Matthew Greenberg Canada 10 90 0.6× 49 1.0× 11 0.3× 6 0.3× 14 0.8× 31 347

Countries citing papers authored by Nathan LaPierre

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nathan LaPierre

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan LaPierre. A scholar is included among the top collaborators of Nathan LaPierre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan LaPierre. Nathan LaPierre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Alser, Mohammed, Richard J. Abdill, Nathan LaPierre, et al.. (2024). Packaging and containerization of computational methods. Nature Protocols. 19(9). 2529–2539. 7 indexed citations
2.
LaPierre, Nathan & Harold Pimentel. (2024). Accounting for isoform expression increases power to identify genetic regulation of gene expression. PLoS Computational Biology. 20(2). e1011857–e1011857.
3.
Chen, Patrick B., Nathan LaPierre, Joel Mefford, et al.. (2024). Complementation testing identifies genes mediating effects at quantitative trait loci underlying fear-related behavior. Cell Genomics. 4(5). 100545–100545. 2 indexed citations
4.
Khan, Arshad H., et al.. (2023). Genetic pathways regulating the longitudinal acquisition of cocaine self-administration in a panel of inbred and recombinant inbred mice. Cell Reports. 42(8). 112856–112856. 5 indexed citations
5.
LaPierre, Nathan, et al.. (2023). Leveraging family data to design Mendelian randomization that is provably robust to population stratification. Genome Research. 33(7). 1032–1041. 2 indexed citations
6.
Karlin, Justin N., Nathan LaPierre, Jie Zheng, et al.. (2022). Ensemble neural network model for detecting thyroid eye disease using external photographs. British Journal of Ophthalmology. 107(11). 1722–1729. 25 indexed citations
7.
Cinelli, Carlos, Nathan LaPierre, Brian L. Hill, Sriram Sankararaman, & Eleazar Eskin. (2022). Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy. Nature Communications. 13(1). 1093–1093. 19 indexed citations
8.
LaPierre, Nathan, et al.. (2021). Identifying causal variants by fine mapping across multiple studies. PLoS Genetics. 17(9). e1009733–e1009733. 37 indexed citations
9.
LaPierre, Nathan, Mohammed Alser, Eleazar Eskin, David Koslicki, & Serghei Mangul. (2020). Metalign: efficient alignment-based metagenomic profiling via containment min hash. Genome biology. 21(1). 242–242. 35 indexed citations
10.
LaPierre, Nathan, Mohammed Alser, Eleazar Eskin, David Koslicki, & Serghei Mangul. (2020). Metalign version 0.12.5 (Publication version). Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
11.
LaPierre, Nathan, Chelsea J.‐T. Ju, Guangyu Zhou, & Wei Wang. (2019). MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction. Methods. 166. 74–82. 64 indexed citations
12.
LaPierre, Nathan, Rob Egan, Wei Wang, & Zhong Wang. (2019). De novo Nanopore read quality improvement using deep learning. BMC Bioinformatics. 20(1). 552–552. 10 indexed citations
13.
LaPierre, Nathan, Serghei Mangul, Mohammed Alser, et al.. (2019). MiCoP: microbial community profiling method for detecting viral and fungal organisms in metagenomic samples. BMC Genomics. 20(S5). 423–423. 25 indexed citations
14.
LaPierre, Nathan, et al.. (2017). Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL). IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(3). 828–840. 3 indexed citations
15.
LaPierre, Nathan, et al.. (2017). Metagenome sequence clustering with hash-based canopies. Journal of Bioinformatics and Computational Biology. 15(6). 1740006–1740006. 4 indexed citations
16.
LaPierre, Nathan, et al.. (2016). CAMIL: Clustering and Assembly with Multiple Instance Learning for phenotype prediction. 449. 33–40. 1 indexed citations
17.
LaPierre, Nathan & Huzefa Rangwala. (2015). Predicting Clinical Phenotype Using OTU-Based Metagenome Representation. 27. 156–163. 1 indexed citations

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.

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