Michael W. Dorrity

1.7k total citations · 1 hit paper
15 papers, 985 citations indexed

About

Michael W. Dorrity is a scholar working on Molecular Biology, Plant Science and Aging. According to data from OpenAlex, Michael W. Dorrity has authored 15 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Aging. Recurrent topics in Michael W. Dorrity's work include Plant Molecular Biology Research (4 papers), Single-cell and spatial transcriptomics (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Michael W. Dorrity is often cited by papers focused on Plant Molecular Biology Research (4 papers), Single-cell and spatial transcriptomics (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Michael W. Dorrity collaborates with scholars based in United States, Germany and South Korea. Michael W. Dorrity's co-authors include Christine Queitsch, Stanley Fields, Josh T. Cuperus, Lauren M. Saunders, Cole Trapnell, Cristina M Alexandre, Kerry L. Bubb, Ken Jean-Baptiste, José L. McFaline‐Figueroa and Siobhán M. Brady and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael W. Dorrity

15 papers receiving 974 citations

Hit Papers

Dynamics of Gene Expression in Single Root Cells of Arabi... 2019 2026 2021 2023 2019 50 100 150 200 250
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.

  1. Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana
    2019 274 citations Ken Jean-Baptiste, José L. McFaline‐Figueroa et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Dorrity United States 12 687 542 89 48 36 15 985
Christophe Tatout France 22 1.1k 1.6× 796 1.5× 135 1.5× 51 1.1× 8 0.2× 49 1.3k
Riet De Smet Belgium 13 1.1k 1.6× 587 1.1× 231 2.6× 11 0.2× 26 0.7× 14 1.3k
Olga Botvinnik United States 7 1.1k 1.5× 262 0.5× 196 2.2× 18 0.4× 103 2.9× 10 1.4k
Paolo Sonego Italy 19 513 0.7× 474 0.9× 38 0.4× 9 0.2× 30 0.8× 35 1.0k
Gabriele Schweikert United Kingdom 14 799 1.2× 413 0.8× 311 3.5× 14 0.3× 43 1.2× 22 1.2k
Tal Nawy United States 12 1.6k 2.3× 1.6k 2.9× 52 0.6× 68 1.4× 60 1.7× 37 2.0k
Christopher A. Penfold United Kingdom 17 733 1.1× 331 0.6× 91 1.0× 14 0.3× 27 0.8× 32 902
Adam McDermaid United States 11 465 0.7× 105 0.2× 42 0.5× 31 0.6× 87 2.4× 16 655
Sergio Contrino United Kingdom 11 550 0.8× 179 0.3× 79 0.9× 15 0.3× 35 1.0× 16 698
Lei Wei China 17 692 1.0× 79 0.1× 120 1.3× 44 0.9× 106 2.9× 76 993

Countries citing papers authored by Michael W. Dorrity

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Dorrity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Dorrity. 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 Michael W. Dorrity. The network helps show where Michael W. Dorrity may publish in the future.

Co-authorship network of co-authors of Michael W. Dorrity

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

All Works

15 of 15 papers shown
1.
Dorrity, Michael W., et al.. (2024). Degrees of freedom: temperature’s influence on developmental rate. Current Opinion in Genetics & Development. 85. 102155–102155. 7 indexed citations
2.
Dorrity, Michael W., Lauren M. Saunders, Madeleine Duran, et al.. (2023). Proteostasis governs differential temperature sensitivity across embryonic cell types. Cell. 186(23). 5015–5027.e12. 20 indexed citations
3.
Saunders, Lauren M., Sanjay Srivatsan, Madeleine Duran, et al.. (2023). Embryo-scale reverse genetics at single-cell resolution. Nature. 623(7988). 782–791. 19 indexed citations
4.
Kim, Eundeok, Michael W. Dorrity, Krishna Mohan Sepuru, et al.. (2022). Dynamic chromatin accessibility deploys heterotypic cis/trans-acting factors driving stomatal cell-fate commitment. Nature Plants. 8(12). 1453–1466. 17 indexed citations
5.
Dorrity, Michael W., Lauren M. Saunders, Madeleine Duran, et al.. (2022). Proteostasis Governs Differential Temperature Sensitivity Across Embryonic Cell Types. SSRN Electronic Journal. 4 indexed citations
6.
Dorrity, Michael W., et al.. (2021). The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution. Nature Communications. 12(1). 3334–3334. 116 indexed citations
7.
Jores, Tobias, Jackson Tonnies, Michael W. Dorrity, et al.. (2020). Identification of Plant Enhancers and Their Constituent Elements by STARR-seq in Tobacco Leaves. The Plant Cell. 32(7). 2120–2131. 67 indexed citations
8.
Dorrity, Michael W., Lauren M. Saunders, Christine Queitsch, Stanley Fields, & Cole Trapnell. (2020). Dimensionality reduction by UMAP to visualize physical and genetic interactions. Nature Communications. 11(1). 1537–1537. 141 indexed citations
9.
Zhou, Wei, Michael W. Dorrity, Kerry L. Bubb, Christine Queitsch, & Stanley Fields. (2019). Binding and Regulation of Transcription by Yeast Ste12 Variants To Drive Mating and Invasion Phenotypes. Genetics. 214(2). 397–407. 7 indexed citations
10.
Dorrity, Michael W., Christine Queitsch, & Stanley Fields. (2019). High-throughput identification of dominant negative polypeptides in yeast. Nature Methods. 16(5). 413–416. 16 indexed citations
11.
Jean-Baptiste, Ken, José L. McFaline‐Figueroa, Cristina M Alexandre, et al.. (2019). Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana. The Plant Cell. 31(5). 993–1011. 274 indexed citations breakdown →
12.
Dorrity, Michael W., et al.. (2018). Preferences in a trait decision determined by transcription factor variants. Proceedings of the National Academy of Sciences. 115(34). E7997–E8006. 17 indexed citations
13.
Maher, Kelsey A., Marko Bajic, Kaisa Kajala, et al.. (2017). Profiling of Accessible Chromatin Regions across Multiple Plant Species and Cell Types Reveals Common Gene Regulatory Principles and New Control Modules. The Plant Cell. 30(1). 15–36. 199 indexed citations
14.
Alexandre, Cristina M, Ken Jean-Baptiste, John Huddleston, et al.. (2017). Complex Relationships between Chromatin Accessibility, Sequence Divergence, and Gene Expression in Arabidopsis thaliana. Molecular Biology and Evolution. 35(4). 837–854. 25 indexed citations
15.
Ron, M., Michael W. Dorrity, Miguel de Lucas, et al.. (2013). Identification of Novel Loci Regulating Interspecific Variation in Root Morphology and Cellular Development in Tomato    . PLANT PHYSIOLOGY. 162(2). 755–768. 56 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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