Elissa J. Chesler

14.7k total citations · 1 hit paper
162 papers, 7.4k citations indexed

About

Elissa J. Chesler is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Elissa J. Chesler has authored 162 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 78 papers in Genetics and 36 papers in Physiology. Recurrent topics in Elissa J. Chesler's work include Genetic Mapping and Diversity in Plants and Animals (61 papers), Bioinformatics and Genomic Networks (40 papers) and Gene expression and cancer classification (28 papers). Elissa J. Chesler is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (61 papers), Bioinformatics and Genomic Networks (40 papers) and Gene expression and cancer classification (28 papers). Elissa J. Chesler collaborates with scholars based in United States, Canada and China. Elissa J. Chesler's co-authors include Jeffrey S. Mogil, Robert W. Williams, Michael A. Langston, Lu Lu, Sonya G. Wilson, Gary A. Churchill, Vivek M. Philip, Kenneth F. Manly, Janice M. Juraska and William R. Lariviere and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Elissa J. Chesler

159 papers receiving 7.3k 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.

Complex trait analysis of gene expression uncovers polygenic and pleiotropic networks that modulate nervous system function

2005 556 citations Elissa J. Chesler, Jintao Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elissa J. Chesler United States	46	3.2k	2.3k	1.6k	1.3k	491	162	7.4k
Jurgen Del‐Favero Belgium	45	2.5k 0.8×	1.7k 0.7×	664 0.4×	1.4k 1.1×	403 0.8×	141	6.8k
Abraham A. Palmer United States	47	2.4k 0.7×	2.1k 0.9×	901 0.6×	1.8k 1.4×	1.1k 2.2×	225	7.5k
Leonard C. Schalkwyk United Kingdom	54	5.7k 1.8×	3.0k 1.3×	793 0.5×	712 0.6×	777 1.6×	152	9.1k
Marquis P. Vawter United States	56	4.7k 1.5×	1.7k 0.7×	969 0.6×	2.3k 1.8×	960 2.0×	136	9.8k
Giles S.H. Yeo United Kingdom	62	4.5k 1.4×	2.4k 1.0×	3.6k 2.2×	1.3k 1.0×	338 0.7×	167	13.5k
Frank Dudbridge United Kingdom	44	3.1k 1.0×	4.3k 1.9×	842 0.5×	631 0.5×	809 1.6×	145	10.0k
Sabine Bahn United Kingdom	48	3.5k 1.1×	1.2k 0.5×	901 0.6×	1.9k 1.5×	803 1.6×	176	8.3k
Lei Zhang China	47	4.6k 1.4×	981 0.4×	878 0.5×	2.2k 1.7×	591 1.2×	419	9.5k
Shuichi Ueno Japan	45	4.0k 1.2×	835 0.4×	1.1k 0.7×	1.5k 1.2×	731 1.5×	349	9.3k
David W. Threadgill United States	60	5.8k 1.8×	3.2k 1.4×	916 0.6×	538 0.4×	461 0.9×	254	12.4k

Countries citing papers authored by Elissa J. Chesler

Since Specialization

Citations

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

Fields of papers citing papers by Elissa J. Chesler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elissa J. Chesler. 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 Elissa J. Chesler. The network helps show where Elissa J. Chesler may publish in the future.

Co-authorship network of co-authors of Elissa J. Chesler

This figure shows the co-authorship network connecting the top 25 collaborators of Elissa J. Chesler. A scholar is included among the top collaborators of Elissa J. Chesler 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 Elissa J. Chesler. Elissa J. Chesler 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

Bubier, Jason A., Price E. Dickson, Troy Wilcox, et al.. (2024). Discovery and validation of genes driving drug‐intake and related behavioral traits in mice. Genes Brain & Behavior. 23(1). e12875–e12875. 2 indexed citations

Johnson, Eric O., Heidi S. Fisher, Kyle A. Sullivan, et al.. (2024). An emerging multi-omic understanding of the genetics of opioid addiction. Journal of Clinical Investigation. 134(20). 4 indexed citations

Jaljuli, Iman, Neri Kafkafi, Eliezer Giladi, et al.. (2023). A multi-lab experimental assessment reveals that replicability can be improved by using empirical estimates of genotype-by-lab interaction. PLoS Biology. 21(5). e3002082–e3002082. 2 indexed citations

Parker, Clarissa C., Vivek M. Philip, Daniel M. Gatti, et al.. (2022). Genome‐wide association mapping of ethanol sensitivity in the Diversity Outbred mouse population. Alcoholism Clinical and Experimental Research. 46(6). 941–960. 3 indexed citations

Philip, Vivek M., Laura G. Reinholdt, Stacey J. Sukoff Rizzo, et al.. (2021). Heritable variation in locomotion, reward sensitivity and impulsive behaviors in a genetically diverse inbred mouse panel. Genes Brain & Behavior. 20(8). e12773–e12773. 13 indexed citations

Huggett, Spencer B., Emma C. Johnson, Alexander S. Hatoum, et al.. (2021). Genes identified in rodent studies of alcohol intake are enriched for heritability of human substance use. Alcoholism Clinical and Experimental Research. 45(12). 2485–2494. 4 indexed citations

Keenan, Brendan T, Raymond J. Galante, Jie Lian, et al.. (2021). The dihydropyrimidine dehydrogenase gene contributes to heritable differences in sleep in mice. Current Biology. 31(23). 5238–5248.e7. 6 indexed citations

Huggett, Spencer B., Jason A. Bubier, Elissa J. Chesler, & Rohan H. C. Palmer. (2020). Do gene expression findings from mouse models of cocaine use recapitulate human cocaine use disorder in reward circuitry?. Genes Brain & Behavior. 20(2). e12689–e12689. 7 indexed citations

Bubier, Jason A., Vivek M. Philip, Christopher Quince, et al.. (2020). A Microbe Associated with Sleep Revealed by a Novel Systems Genetic Analysis of the Microbiome in Collaborative Cross Mice. Genetics. 214(3). 719–733. 16 indexed citations

10.

Schoenrock, Sarah A., Jason A. Bubier, Molly A. Bogue, et al.. (2020). Prospects for finding the mechanisms of sex differences in addiction with human and model organism genetic analysis. Genes Brain & Behavior. 19(3). e12645–e12645. 10 indexed citations

11.

Johnson, Emma C., Spencer B. Huggett, Jason A. Bubier, et al.. (2020). Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration. Neuropsychopharmacology. 46(1). 86–97. 14 indexed citations

12.

Boehm, Frederick J., Elissa J. Chesler, Brian S. Yandell, & Karl W. Broman. (2019). Testing Pleiotropy vs. Separate QTL in Multiparental Populations. G3 Genes Genomes Genetics. 9(7). 2317–2324. 9 indexed citations

13.

Recla, Jill M., Jason A. Bubier, Daniel M. Gatti, et al.. (2019). Genetic mapping in Diversity Outbred mice identifies a Trpa1 variant influencing late-phase formalin response. Pain. 160(8). 1740–1753. 18 indexed citations

14.

Skelly, Daniel A., Narayanan Raghupathy, Raymond F. Robledo, Joel H. Graber, & Elissa J. Chesler. (2019). Reference Trait Analysis Reveals Correlations Between Gene Expression and Quantitative Traits in Disjoint Samples. Genetics. 212(3). 919–929. 6 indexed citations

15.

Campbell, James H., Carmen M. Foster, Tatiana A. Vishnivetskaya, et al.. (2012). Host genetic and environmental effects on mouse intestinal microbiota. The ISME Journal. 6(11). 2033–2044. 171 indexed citations

16.

Phillips, Charles, Jeremy J. Jay, Erich J. Baker, Elissa J. Chesler, & Michael A. Langston. (2012). On Bipartite Graph Decomposition in the Presence of Noise, with Applications to Biological Data Clustering.. 215–219. 1 indexed citations

17.

Baker, Erich J., Jeremy J. Jay, Vivek M. Philip, et al.. (2009). Ontological discovery environment: A system for integrating gene–phenotype associations. Genomics. 94(6). 377–387. 31 indexed citations

18.

Li, Hongqiang, Kenneth F. Manly, Elissa J. Chesler, et al.. (2005). Inferring gene transcriptional modulatory relations: a genetical genomics approach. Human Molecular Genetics. 14(9). 1119–1125. 57 indexed citations

19.

Mhyre, Timothy R., Elissa J. Chesler, Mona Thiruchelvam, et al.. (2004). Heritability, correlations and in silico mapping of locomotor behavior and neurochemistry in inbred strains of mice. Genes Brain & Behavior. 4(4). 209–228. 32 indexed citations

20.

Chesler, Elissa J., Sonya G. Wilson, William R. Lariviere, Sandra L. Rodriguez‐Zas, & Jeffrey S. Mogil. (2002). Identification and ranking of genetic and laboratory environment factors influencing a behavioral trait, thermal nociception, via computational analysis of a large data archive. Neuroscience & Biobehavioral Reviews. 26(8). 907–923. 260 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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