Dan Nettleton

17.8k total citations
201 papers, 9.8k citations indexed

About

Dan Nettleton is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Dan Nettleton has authored 201 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Plant Science, 80 papers in Molecular Biology and 75 papers in Genetics. Recurrent topics in Dan Nettleton's work include Genetic Mapping and Diversity in Plants and Animals (54 papers), Gene expression and cancer classification (37 papers) and Genetic and phenotypic traits in livestock (34 papers). Dan Nettleton is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (54 papers), Gene expression and cancer classification (37 papers) and Genetic and phenotypic traits in livestock (34 papers). Dan Nettleton collaborates with scholars based in United States, China and Germany. Dan Nettleton's co-authors include Patrick S. Schnable, Thomas J. Baum, Cheng‐Ting Yeh, Justin Recknor, Roger P. Wise, Jack C. M. Dekkers, Tom Maier, Rico A. Caldo, Yi Jia and Lisa A. Borsuk and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dan Nettleton

196 papers receiving 9.6k citations

Peers

Countries citing papers authored by Dan Nettleton

Since Specialization

Citations

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

Fields of papers citing papers by Dan Nettleton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Nettleton

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments 2023 ·The American Statistician ·(unknown), Dan Nettleton	0
2	Biological insights from multi-omics analysis strategies: Complex pleotropic effects associated with autophagy 2023 ·Frontiers in Plant Science ·(unknown), (unknown), María Emilia Dueñas, Young‐Jin Lee, Meiling Liu, Dan Nettleton, Xuefeng Zhao, Ling Li, Diane C. Bassham, Basil J. Nikolau	0
3	A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets 2018 ·BMC Bioinformatics ·Kun Liang, (unknown), (unknown), Dan Nettleton	2
4	Distinct genetic architectures for phenotype means and plasticities in Zea mays 2017 ·Nature Plants ·Aaron Kusmec, Srikant Srinivasan, Dan Nettleton, Patrick S. Schnable	90
5	Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes 2017 ·Journal of the American Statistical Association ·Yuhang Xu, Yehua Li, Dan Nettleton	15
6	Discovery and Characterization of the 3-Hydroxyacyl-ACP Dehydratase Component of the Plant Mitochondrial Fatty Acid Synthase System 2017 ·PLANT PHYSIOLOGY ·(unknown), Yozo Okazaki, Andrew Lithio, Ling Li, Xuefeng Zhao, Huanan Jin, Dan Nettleton, Kazuki Saito, Basil J. Nikolau	18
7	Stability of Single-Parent Gene Expression Complementation in Maize Hybrids upon Water Deficit Stress 2016 ·PLANT PHYSIOLOGY ·Caroline Marcon, Anja Paschold, Waqas Ahmed Malik, Andrew Lithio, Jutta A. Baldauf, (unknown), Nina Opitz, Christa Lanz, Heiko Schoof, Dan Nettleton, Hans‐Peter Piepho, Frank Hochholdinger	30
8	QQS orphan gene regulates carbon and nitrogen partitioning across species via NF-YC interactions 2015 ·Proceedings of the National Academy of Sciences ·Ling Li, Wenguang Zheng, Yanbing Zhu, Huaxun Ye, Buyun Tang, Zebulun Arendsee, Dallas C. Jones, (unknown), Diego Ortiz, Xuefeng Zhao, (unknown), Dan Nettleton, M. Paul Scott, Maria G. Salas Fernandez, Yanhai Yin, Eve Syrkin Wurtele	96
9	Empirical Bayes Analysis of RNA-seq Data for Detection of Gene Expression Heterosis 2015 ·Journal of Agricultural Biological and Environmental Statistics ·Jarad Niemi, (unknown), William Michael Landau, Dan Nettleton	7
10	Ontogeny of the Maize Shoot Apical Meristem 2012 ·The Plant Cell ·(unknown), Jie Li, (unknown), Lalit Ponnala, Diane Janick‐Buckner, Jianming Yu, Gary J. Muehlbauer, Patrick S. Schnable, Marja C.P. Timmermans, Qi Sun, Dan Nettleton, Michael J. Scanlon	58
11	Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates 2012 ·Statistical Applications in Genetics and Molecular Biology ·Steven P. Lund, Dan Nettleton, Davis J. McCarthy, Gordon K. Smyth	212
12	Borrowing Information Across Genes and Experiments for Improved Error Variance Estimation in Microarray Data Analysis 2012 ·Statistical Applications in Genetics and Molecular Biology ·Tieming Ji, Peng Liu, Dan Nettleton	9
13	Exercise modulates the immune response to influenza infection in aged mice. (170.28) 2012 ·The Journal of Immunology ·(unknown), Jack M. Gallup, Shan Yu, (unknown), (unknown), Dan Nettleton, Marian L. Kohut	1
14	Paternal Dominance of Trans-eQTL Influences Gene Expression Patterns in Maize Hybrids 2009 ·Science ·Ruth A. Swanson-Wagner, Rhonda DeCook, Yi Jia, Tim Bancroft, Tieming Ji, Xuefeng Zhao, Dan Nettleton, Patrick S. Schnable	94
15	Mu Transposon Insertion Sites and Meiotic Recombination Events Co-Localize with Epigenetic Marks for Open Chromatin across the Maize Genome 2009 ·PLoS Genetics ·Sanzhen Liu, Cheng‐Ting Yeh, Tieming Ji, Kai Ying, (unknown), Ho Man Tang, Yan Fu, Dan Nettleton, Patrick S. Schnable	161
16	Maize Inbreds Exhibit High Levels of Copy Number Variation (CNV) and Presence/Absence Variation (PAV) in Genome Content 2009 ·PLoS Genetics ·Nathan M. Springer, Kai Ying, Yan Fu, Tieming Ji, Cheng‐Ting Yeh, Yi Jia, Wei Wu, Todd Richmond, Jacob O. Kitzman, Heidi Rosenbaum, A. Leonardo Iniguez, W. Brad Barbazuk, Jeffrey A. Jeddeloh, Dan Nettleton, Patrick S. Schnable	378
17	All possible modes of gene action are observed in a global comparison of gene expression in a maize F ₁ hybrid and its inbred parents 2006 ·Proceedings of the National Academy of Sciences ·Ruth A. Swanson-Wagner, Yi Jia, Rhonda DeCook, Lisa A. Borsuk, Dan Nettleton, Patrick S. Schnable	304
18	Exploring the Information in p‐Values for the Analysis and Planning of Multiple‐Test Experiments 2006 ·Biometrics ·David Ruppert, Dan Nettleton, J. T. Gene Hwang	31
19	Agrobacterium tumefaciens -Mediated Transformation of Maize Embryos Using a Standard Binary Vector System 2002 ·PLANT PHYSIOLOGY ·Bronwyn Frame, Huixia Shou, Rachel Chikwamba, Zhanyuan Zhang, Cheng‐Bin Xiang, (unknown), Sue Ellen Pegg, Baochun Li, Dan Nettleton, Deqing Pei, Kan Wang	372
20	Multiple Marginal Independence Testing for Pick Any/C Variables 2000 ·Communications in Statistics - Simulation and Computation ·Christopher R. Bilder, Thomas M. Loughin, Dan Nettleton	32

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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