Nathan Lakey

5.2k total citations · 1 hit paper
14 papers, 2.3k citations indexed

About

Nathan Lakey is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Nathan Lakey has authored 14 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Genetics. Recurrent topics in Nathan Lakey's work include Epigenetics and DNA Methylation (4 papers), Oil Palm Production and Sustainability (4 papers) and Coconut Research and Applications (3 papers). Nathan Lakey is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Oil Palm Production and Sustainability (4 papers) and Coconut Research and Applications (3 papers). Nathan Lakey collaborates with scholars based in United States, Malaysia and Switzerland. Nathan Lakey's co-authors include Robert I. Tepper, Xun Weng, Elizabeth A. Woolf, Stephen J. Ellis, Janice Culpepper, Olga Charlat, Geoffrey M. Duyk, Jay P. Morgenstern, Louis A. Tartaglia and Roger E. Breitbart and has published in prestigious journals such as Cell, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Nathan Lakey

14 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice

1996 1.8k citations Hong Chen, Olga Charlat et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Lakey United States	7	1.1k	749	701	655	602	14	2.3k
Valur Emilsson United States	25	975 0.9×	599 0.8×	745 1.1×	807 1.2×	569 0.9×	45	2.3k
Y Yoshimasa Japan	20	1.5k 1.3×	819 1.1×	1.1k 1.5×	573 0.9×	909 1.5×	34	2.6k
J R Flores-Riveros United States	15	802 0.7×	321 0.4×	697 1.0×	809 1.2×	655 1.1×	17	2.2k
Ella W. Englander United States	30	808 0.7×	569 0.8×	638 0.9×	1.0k 1.6×	248 0.4×	84	2.8k
Takafumi Tsuchiya Japan	19	750 0.7×	315 0.4×	528 0.8×	450 0.7×	407 0.7×	56	1.8k
Piet De Vos France	13	1.5k 1.4×	904 1.2×	1.1k 1.6×	543 0.8×	946 1.6×	19	2.4k
Nanhua Deng United States	7	2.4k 2.1×	1.6k 2.1×	1.6k 2.3×	662 1.0×	1.3k 2.1×	10	3.6k
Paul Kievit United States	26	566 0.5×	282 0.4×	643 0.9×	654 1.0×	340 0.6×	64	2.0k
Emmanuelle Durand France	21	893 0.8×	564 0.8×	772 1.1×	931 1.4×	547 0.9×	39	2.8k
Victoria Fairchild-Huntress United States	9	2.2k 1.9×	1.7k 2.3×	870 1.2×	968 1.5×	515 0.9×	9	3.8k

Countries citing papers authored by Nathan Lakey

Since Specialization

Citations

This map shows the geographic impact of Nathan Lakey'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 Lakey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Lakey more than expected).

Fields of papers citing papers by Nathan Lakey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Lakey. 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 Lakey. The network helps show where Nathan Lakey may publish in the future.

Co-authorship network of co-authors of Nathan Lakey

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Lakey. A scholar is included among the top collaborators of Nathan Lakey 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 Lakey. Nathan Lakey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Martins, Gustavo M., Tisha Melia, Nathan Lakey, et al.. (2025). Pollination and mating dynamics unveiled by orchard-wide pedigree reconstruction in Acacia crassicarpa. Tree Genetics & Genomes. 21(2). 1 indexed citations

Melia, Tisha, et al.. (2024). Estimation of Additive and Dominance Effects in an Acacia crassicarpa Multi-Environment Progeny Trial Using Genomic Pedigree Reconstruction. Forest Science. 70(2). 113–122. 2 indexed citations

Ooi, Leslie Cheng‐Li, Eng‐Ti Leslie Low, Meilina Ong‐Abdullah, et al.. (2023). Improving oil palm sustainability with molecular-precision agriculture: yield impact of SHELL DNA testing in the Malaysian oil palm supply chain. Scientia Horticulturae. 321. 112305–112305. 1 indexed citations

Singh, Rajinder, Leslie Cheng‐Li Ooi, Ngoot‐Chin Ting, et al.. (2021). A genetic platform for predicting and reducing non-tenera contamination in oil palm (Elaeis guineensis) seed supply. Tree Genetics & Genomes. 17(6). 3 indexed citations

Ordway, Jared M., Marhalil Marjuni, Zulkifli Yaakub, et al.. (2019). SureSawitTM true-to-type - a high throughput universal single nucleotide polymorphism panel for DNA fingerprinting, purity testing and origin verification in oil palm.. Journal of Oil Palm Research. 31. 561–571. 1 indexed citations

Rajanaidu, N., Meilina Ong‐Abdullah, Leslie Cheng‐Li Ooi, et al.. (2016). NEW FRONTIERS FOR THE OIL PALM INDUSTRY THROUGH GENOME TECHNOLOGY. 92(1087). 5 indexed citations

Ordway, Jared M., Muhammad A. Budiman, Yulia Korshunova, et al.. (2007). Identification of Novel High-Frequency DNA Methylation Changes in Breast Cancer. PLoS ONE. 2(12). e1314–e1314. 85 indexed citations

Korshunova, Yulia, Jared M. Ordway, J. A. Bedell, et al.. (2007). MethylScreen: DNA Methylation Density Monitoring using Quantitative PCR. BioTechniques. 43(5). 683–693. 47 indexed citations

Korshunova, Yulia, Nathan Lakey, Robert W. Citek, et al.. (2007). Massively parallel bisulphite pyrosequencing reveals the molecular complexity of breast cancer-associated cytosine-methylation patterns obtained from tissue and serum DNA. Genome Research. 18(1). 19–29. 99 indexed citations

10.

Ordway, Jared M., J. A. Bedell, Robert W. Citek, et al.. (2006). Comprehensive DNA methylation profiling in a human cancer genome identifies novel epigenetic targets. Carcinogenesis. 27(12). 2409–2423. 81 indexed citations

11.

Rabinowicz, Pablo D., Robert W. Citek, Muhammad A. Budiman, et al.. (2005). Differential methylation of genes and repeats in land plants. Genome Research. 15(10). 1431–1440. 98 indexed citations

12.

Rivera, Jaime A., Christopher Rall, Fiona Graeme‐Cook, et al.. (1997). Analysis of K-ras oncogene mutations in chronic pancreatitis with ductal hyperplasia. Surgery. 121(1). 42–49. 64 indexed citations

13.

Chen, Hong, Olga Charlat, Louis A. Tartaglia, et al.. (1996). Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice. Cell. 84(3). 491–495. 1814 indexed citations breakdown →

14.

Richterich, Peter, et al.. (1995). Cytosine specific DNA sequencing with hydrogen peroxide. Nucleic Acids Research. 23(23). 4922–4923. 6 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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