William Valdar

10.9k total citations · 1 hit paper
85 papers, 5.8k citations indexed

About

William Valdar is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, William Valdar has authored 85 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Genetics, 33 papers in Molecular Biology and 18 papers in Plant Science. Recurrent topics in William Valdar's work include Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetic and phenotypic traits in livestock (27 papers) and Genetic Associations and Epidemiology (12 papers). William Valdar is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (37 papers), Genetic and phenotypic traits in livestock (27 papers) and Genetic Associations and Epidemiology (12 papers). William Valdar collaborates with scholars based in United States, United Kingdom and Canada. William Valdar's co-authors include Richard Mott, Jonathan Flint, Janet M. Thornton, A. Dessa Sadovnick, George C. Ebers, Irene M. Yee, Sreeram V. Ramagopalan, Blanca Herrera, Sagiv Shifman and Sarah Orton and has published in prestigious journals such as Cell, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

William Valdar

81 papers receiving 5.7k 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.

Sex ratio of multiple sclerosis in Canada: a longitudinal study

2006 661 citations Blanca Herrera, Irene M. Yee et al. The Lancet Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Valdar United States	33	2.4k	2.4k	929	785	562	85	5.8k
David W. Threadgill United States	60	5.8k 2.4×	3.2k 1.4×	587 0.6×	460 0.6×	1.2k 2.1×	254	12.4k
Vijay Kumar India	38	5.3k 2.2×	5.4k 2.3×	552 0.6×	276 0.4×	962 1.7×	131	9.7k
J. Weissenbach France	48	4.6k 1.9×	2.6k 1.1×	538 0.6×	367 0.5×	525 0.9×	130	8.1k
Ping Liang United States	42	3.7k 1.6×	1.0k 0.4×	898 1.0×	186 0.2×	379 0.7×	151	5.5k
James J. Russo United States	36	5.7k 2.4×	1.1k 0.4×	1.1k 1.2×	593 0.8×	1.0k 1.8×	70	10.0k
Janet A. Warrington United States	34	4.7k 2.0×	1.6k 0.7×	307 0.3×	306 0.4×	681 1.2×	60	7.8k
Roberto Di Marco Italy	39	2.3k 1.0×	876 0.4×	265 0.3×	358 0.5×	1.2k 2.1×	166	5.0k
Marcelo B. Soares United States	49	5.0k 2.1×	1.4k 0.6×	667 0.7×	122 0.2×	868 1.5×	127	8.0k
Elspeth A. Bruford United Kingdom	35	5.5k 2.3×	1.4k 0.6×	250 0.3×	242 0.3×	1.1k 2.0×	57	8.4k
Sumio Sugano Japan	57	8.2k 3.5×	2.1k 0.9×	1.3k 1.4×	337 0.4×	1.2k 2.1×	296	12.8k

Countries citing papers authored by William Valdar

Since Specialization

Citations

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

Fields of papers citing papers by William Valdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Valdar

This figure shows the co-authorship network connecting the top 25 collaborators of William Valdar. A scholar is included among the top collaborators of William Valdar 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 William Valdar. William Valdar 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

Huda, M. Nazmul, Emer Kelly, William Valdar, et al.. (2025). The impact of early-life exposures on growth and adult gut microbiome composition is dependent on genetic strain and parent- of- origin. Microbiome. 13(1). 143–143. 1 indexed citations

Smeekens, Johanna M., Pablo Hock, Colton L. Linnertz, et al.. (2024). A mutation in Themis contributes to anaphylaxis severity following oral peanut challenge in CC027 mice. Journal of Allergy and Clinical Immunology. 154(2). 387–397. 1 indexed citations

Huda, M. Nazmul, Danny Arends, Gudrun A. Brockmann, et al.. (2023). Analysis of strain, sex, and diet-dependent modulation of gut microbiota reveals candidate keystone organisms driving microbial diversity in response to American and ketogenic diets. Microbiome. 11(1). 220–220. 13 indexed citations

Crouse, Wesley L., Gregory R. Keele, Katie Holl, et al.. (2022). Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats. Diabetes. 72(1). 135–148. 7 indexed citations

Crouse, Wesley L., Swapan K. Das, Gregory R. Keele, et al.. (2022). Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity. Physiological Genomics. 54(6). 206–219. 6 indexed citations

Sun, Kathie, Sarah A. Schoenrock, Rachel McMullan, et al.. (2021). Bayesian modeling of skewed X inactivation in genetically diverse mice identifies a novel Xce allele associated with copy number changes. Genetics. 218(1). 5 indexed citations

Crouse, Wesley L., Samir N. P. Kelada, & William Valdar. (2020). Inferring the Allelic Series at QTL in Multiparental Populations. Genetics. 216(4). 957–983. 9 indexed citations

Keele, Gregory R., Wesley L. Crouse, Samir N. P. Kelada, & William Valdar. (2019). Determinants of QTL Mapping Power in the Realized Collaborative Cross. G3 Genes Genomes Genetics. 9(5). 1707–1727. 32 indexed citations

Shorter, John, Paul L. Maurizio, Timothy A. Bell, et al.. (2019). A Diallel of the Mouse Collaborative Cross Founders Reveals Strong Strain-Specific Maternal Effects on Litter Size. G3 Genes Genomes Genetics. 9(5). 1613–1622. 7 indexed citations

10.

Corty, Robert W. & William Valdar. (2018). vqtl: An R Package for Mean-Variance QTL Mapping. G3 Genes Genomes Genetics. 8(12). 3757–3766. 6 indexed citations

11.

Corty, Robert W. & William Valdar. (2018). QTL Mapping on a Background of Variance Heterogeneity. G3 Genes Genomes Genetics. 8(12). 3767–3782. 8 indexed citations

12.

Schoenrock, Sarah A., Rachel McMullan, Darla R. Miller, et al.. (2018). Reciprocal F1 Hybrids of Two Inbred Mouse Strains Reveal Parent-of-Origin and Perinatal Diet Effects on Behavior and Expression. G3 Genes Genomes Genetics. 8(11). 3447–3468. 6 indexed citations

13.

Corty, Robert W., Vivek Kumar, Lisa M. Tarantino, Joseph S. Takahashi, & William Valdar. (2018). Mean-Variance QTL Mapping Identifies Novel QTL for Circadian Activity and Exploratory Behavior in Mice. G3 Genes Genomes Genetics. 8(12). 3783–3790. 7 indexed citations

14.

Maurizio, Paul L., et al.. (2017). Dissecting the Genetic Architecture of Shoot Growth in Carrot ( Daucus carota L.) Using a Diallel Mating Design. G3 Genes Genomes Genetics. 8(2). 411–426. 19 indexed citations

15.

Maurizio, Paul L., Martin T. Ferris, Gregory R. Keele, et al.. (2017). Bayesian Diallel Analysis Reveals Mx1 -Dependent and Mx1 -Independent Effects on Response to Influenza A Virus in Mice. G3 Genes Genomes Genetics. 8(2). 427–445. 15 indexed citations

16.

Xie, Yuying, Yufeng Liu, & William Valdar. (2016). Joint estimation of multiple dependent Gaussian graphical models with applications to mouse genomics. Biometrika. 103(3). 493–511. 19 indexed citations

17.

Valdar, William, et al.. (2012). Reprioritizing Genetic Associations in Hit Regions Using LASSO‐Based Resample Model Averaging. Genetic Epidemiology. 36(5). 451–462. 18 indexed citations

18.

Ramagopalan, Sreeram V, William Valdar, David A. Dyment, et al.. (2009). Association of Infectious Mononucleosis with Multiple Sclerosis. Neuroepidemiology. 32(4). 257–262. 74 indexed citations

19.

Huang, Guo‐Jen, Sagiv Shifman, William Valdar, et al.. (2009). High resolution mapping of expression QTLs in heterogeneous stock mice in multiple tissues. Genome Research. 19(6). 1133–1140. 60 indexed citations

20.

Ramagopalan, Sreeram V., David A. Dyment, William Valdar, et al.. (2007). Autoimmune disease in families with multiple sclerosis: a population-based study. The Lancet Neurology. 6(7). 604–610. 133 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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