John H. Willis

10.6k total citations · 3 hit papers
62 papers, 7.5k citations indexed

About

John H. Willis is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, John H. Willis has authored 62 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 26 papers in Plant Science and 19 papers in Molecular Biology. Recurrent topics in John H. Willis's work include Genetic diversity and population structure (37 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers) and Plant and animal studies (16 papers). John H. Willis is often cited by papers focused on Genetic diversity and population structure (37 papers), Genetic Mapping and Diversity in Plants and Animals (24 papers) and Plant and animal studies (16 papers). John H. Willis collaborates with scholars based in United States, United Kingdom and Canada. John H. Willis's co-authors include Deborah Charlesworth, Loren H. Rieseberg, David B. Lowry, Megan Hall, Thomas Mitchell‐Olds, Lila Fishman, John K. Kelly, David B. Goldstein, Alan J. Kelly and Kevin M. Wright and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

John H. Willis

62 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.

The genetics of inbreeding depression

2009 1.4k citations John H. Willis et al. Nature Reviews Genetics profile →
Plant Speciation

2007 851 citations John H. Willis et al. Science profile →
A Widespread Chromosomal Inversion Polymorphism Contributes to a Major Life-History Transition, Local Adaptation, and Reproductive Isolation

2010 444 citations David B. Lowry, John H. Willis PLoS Biology profile →

Peers

Countries citing papers authored by John H. Willis

Since Specialization

Citations

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

Fields of papers citing papers by John H. Willis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Willis. 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 John H. Willis. The network helps show where John H. Willis may publish in the future.

Co-authorship network of co-authors of John H. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Willis. A scholar is included among the top collaborators of John H. Willis 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 John H. Willis. John H. Willis 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	Slow Recovery from Inbreeding Depression Generated by the Complex Genetic Architecture of Segregating Deleterious Mutations 2021 ·Molecular Biology and Evolution ·Paula E. Adams, (unknown), (unknown), John H. Willis, Patrick C. Phillips, Janna L. Fierst	7
2	The genetic architecture and evolution of life-history divergence among perennials in the Mimulus guttatus species complex 2021 ·Proceedings of the Royal Society B Biological Sciences ·Jenn M. Coughlan, (unknown), John H. Willis	10
3	Major QTL controls adaptation to serpentine soils in Mimulus guttatus 2018 ·Molecular Ecology ·(unknown), John H. Willis	24
4	Selective trade-offs maintain alleles underpinning complex trait variation in plants 2018 ·Science ·(unknown), Joshua R. Puzey, (unknown), John H. Willis, John K. Kelly	87
5	Dissecting the role of a large chromosomal inversion in life history divergence throughout the Mimulus guttatus species complex 2018 ·Molecular Ecology ·(unknown), John H. Willis	48
6	Population-genomic inference of the strength and timing of selection against gene flow 2017 ·Proceedings of the National Academy of Sciences ·Simon Aeschbacher, (unknown), John H. Willis, Graham Coop	83
7	Geographic Variation of Plant Circadian Clock Function in Natural and Agricultural Settings 2016 ·Journal of Biological Rhythms ·Kathleen Greenham, Ping Lou, Joshua R. Puzey, (unknown), (unknown), Hany Farid, John H. Willis, C. Robertson McClung	54
8	Leaf shape evolution has a similar genetic architecture in three edaphic specialists within theMimulus guttatusspecies complex 2015 ·Annals of Botany ·Kathleen G. Ferris, (unknown), (unknown), (unknown), Benjamin K. Blackman, John H. Willis	31
9	Fine-scale variation in meiotic recombination in Mimulus inferred from population shotgun sequencing 2013 ·Proceedings of the National Academy of Sciences ·Uffe Hellsten, Kevin M. Wright, Jerry Jenkins, Shengqiang Shu, Yao‐Wu Yuan, Susan R. Wessler, Jeremy Schmutz, John H. Willis, Daniel S. Rokhsar	142
10	Spatially and temporally varying selection on intrapopulation quantitative trait loci for a life history trade‐off in Mimulus guttatus 2012 ·Molecular Ecology ·Julius P. Mojica, (unknown), John H. Willis, John K. Kelly	75
11	Mapping of Ionomic Traits in Mimulus guttatus Reveals Mo and Cd QTLs That Colocalize with MOT1 Homologues 2012 ·PLoS ONE ·David B. Lowry, Calvin C. Sheng, (unknown), Thomas Juenger, Brett Lahner, David E. Salt, John H. Willis	21
12	Genetic evidence for hybridization in red oaks (Quercus sect. Lobatae, Fagaceae) 2011 ·American Journal of Botany ·Emily Moran, John H. Willis, James S. Clark	59
13	Five anthocyanin polymorphisms are associated with an R2R3‐MYB cluster in Mimulus guttatus (Phrymaceae) 2011 ·American Journal of Botany ·David B. Lowry, Calvin C. Sheng, Jesse R. Lasky, John H. Willis	37
14	Is local adaptation inMimulus guttatuscaused by trade‐offs at individual loci? 2010 ·Molecular Ecology ·Megan Hall, David B. Lowry, John H. Willis	109
15	A Widespread Chromosomal Inversion Polymorphism Contributes to a Major Life-History Transition, Local Adaptation, and Reproductive Isolation breakdown → 2010 ·PLoS Biology ·David B. Lowry, John H. Willis	444
16	Contribution of chromosomal polymorphisms to the G‐matrix ofMimulus guttatus 2009 ·New Phytologist ·Alison Scoville, (unknown), John H. Willis, John K. Kelly	27
17	Natural variation for drought-response traits in the Mimulus guttatus species complex 2009 ·Oecologia ·Carrie A. Wu, David B. Lowry, (unknown), John H. Willis	92
18	Patterns of nucleotide variation and reproductive isolation between aMimulusallotetraploid and its progenitor species 2008 ·Molecular Ecology ·Andrea L. Sweigart, Noland H. Martin, John H. Willis	26
19	Which evolutionary processes influence natural genetic variation for phenotypic traits? 2007 ·Nature Reviews Genetics ·Thomas Mitchell‐Olds, John H. Willis, David B. Goldstein	387
20	A Novel Meiotic Drive Locus Almost Completely Distorts Segregation in Mimulus (Monkeyflower) Hybrids 2004 ·Genetics ·Lila Fishman, John H. Willis	150

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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