Allyson M. MacLean

3.1k total citations
30 papers, 2.0k citations indexed

About

Allyson M. MacLean is a scholar working on Plant Science, Insect Science and Molecular Biology. According to data from OpenAlex, Allyson M. MacLean has authored 30 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 11 papers in Insect Science and 6 papers in Molecular Biology. Recurrent topics in Allyson M. MacLean's work include Legume Nitrogen Fixing Symbiosis (12 papers), Phytoplasmas and Hemiptera pathogens (10 papers) and Plant nutrient uptake and metabolism (8 papers). Allyson M. MacLean is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (12 papers), Phytoplasmas and Hemiptera pathogens (10 papers) and Plant nutrient uptake and metabolism (8 papers). Allyson M. MacLean collaborates with scholars based in Canada, United Kingdom and United States. Allyson M. MacLean's co-authors include Saskia A. Hogenhout, Akiko Sugio, Turlough M. Finan, Heather N. Kingdom, Maria Harrison, Armando Bravo, Richard G. H. Immink, R. Manimekalai, Michael J. Sadowsky and Olga Makarova and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Allyson M. MacLean

30 papers receiving 2.0k citations

Peers

Allyson M. MacLean
Diann Achor United States
Wenbin Li China
Nathan Pumplin United States
Weimin Li China
D. L. Hopkins United States
Pamela D. Roberts United States
Allyson M. MacLean
Citations per year, relative to Allyson M. MacLean Allyson M. MacLean (= 1×) peers Nicolás Denancé

Countries citing papers authored by Allyson M. MacLean

Since Specialization
Citations

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

Fields of papers citing papers by Allyson M. MacLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allyson M. MacLean. 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 Allyson M. MacLean. The network helps show where Allyson M. MacLean may publish in the future.

Co-authorship network of co-authors of Allyson M. MacLean

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

All Works

20 of 20 papers shown
1.
Chan, Yuk Sing Gilbert, Máirín Ryan, Yvonne Lau, et al.. (2023). P446 A novel Nrf2 activator with pleiotropic effects for the treatment of SBMA in a phase 1/2a study. Neuromuscular Disorders. 33. S190–S190. 1 indexed citations
2.
MacLean, Allyson M., et al.. (2023). Getting to the root of a club – Understanding developmental manipulation by the clubroot pathogen. Seminars in Cell and Developmental Biology. 148-149. 22–32. 13 indexed citations
3.
Martin, Julien G. A., et al.. (2022). RocTest: A standardized method to assess the performance of root organ cultures in the propagation of arbuscular mycorrhizal fungi. Frontiers in Microbiology. 13. 937912–937912. 7 indexed citations
4.
Galipeau, Yannick, et al.. (2022). Scalable agroinfiltration-based production of SARS-CoV-2 antigens for use in diagnostic assays and subunit vaccines. PLoS ONE. 17(12). e0277668–e0277668. 9 indexed citations
5.
Azad, Taha, et al.. (2022). Plant-based Expression of SARS-CoV-2 antigens for use in an Oral Vaccine. 5(3). 1 indexed citations
6.
Huang, Weijie, Allyson M. MacLean, Akiko Sugio, et al.. (2021). Parasitic modulation of host development by ubiquitin-independent protein degradation. Cell. 184(20). 5201–5214.e12. 92 indexed citations
7.
Kokkoris, Vasilis, Pierre‐Luc Chagnon, Gökalp Yildirir, et al.. (2021). Host identity influences nuclear dynamics in arbuscular mycorrhizal fungi. Current Biology. 31(7). 1531–1538.e6. 40 indexed citations
8.
Pecher, Pascal, Maria Cristina Canale, Archana Singh, et al.. (2019). Phytoplasma SAP11 effector destabilization of TCP transcription factors differentially impact development and defence of Arabidopsis versus maize. PLoS Pathogens. 15(9). e1008035–e1008035. 54 indexed citations
9.
MacLean, Allyson M., et al.. (2019). A Phosphate-Dependent Requirement for Transcription Factors IPD3 and IPD3L During Arbuscular Mycorrhizal Symbiosis in Medicago truncatula. Molecular Plant-Microbe Interactions. 32(10). 1277–1290. 9 indexed citations
10.
Sun, Xuepeng, Wenbo Chen, Sergey Ivanov, et al.. (2018). Genome and evolution of the arbuscular mycorrhizal fungus Diversispora epigaea (formerly Glomus versiforme) and its bacterial endosymbionts. New Phytologist. 221(3). 1556–1573. 69 indexed citations
11.
MacLean, Allyson M., Armando Bravo, & Maria Harrison. (2017). Plant Signaling and Metabolic Pathways Enabling Arbuscular Mycorrhizal Symbiosis. The Plant Cell. 29(10). 2319–2335. 203 indexed citations
12.
Floß, Daniela S., S. Karen Gomez, Hee-Jin Park, et al.. (2017). A Transcriptional Program for Arbuscule Degeneration during AM Symbiosis Is Regulated by MYB1. Current Biology. 27(8). 1206–1212. 100 indexed citations
13.
MacLean, Allyson M., Zigmunds Orlovskis, Krissana Kowitwanich, et al.. (2014). Phytoplasma Effector SAP54 Hijacks Plant Reproduction by Degrading MADS-box Proteins and Promotes Insect Colonization in a RAD23-Dependent Manner. PLoS Biology. 12(4). e1001835–e1001835. 175 indexed citations
14.
diCenzo, George C., et al.. (2014). Examination of Prokaryotic Multipartite Genome Evolution through Experimental Genome Reduction. PLoS Genetics. 10(10). e1004742–e1004742. 77 indexed citations
15.
Sugio, Akiko, et al.. (2011). Phytoplasma protein effector SAP11 enhances insect vector reproduction by manipulating plant development and defense hormone biosynthesis. Proceedings of the National Academy of Sciences. 108(48). E1254–63. 337 indexed citations
16.
Makarova, Olga, Allyson M. MacLean, Saskia A. Hogenhout, & Mogens Nicolaisen. (2011). Use of quantitative real time PCR for a genome-wide study of AYWB phytoplasma gene expression in plant and insect hosts.. Bulletin of insectology. 64. 2 indexed citations
17.
MacLean, Allyson M., et al.. (2011). Arabidopsis thaliana as a model plant for understanding phytoplasma interactions with plant and insect hosts. Bulletin of insectology. 64. 2 indexed citations
18.
MacLean, Allyson M., et al.. (2009). Identification of a Hydroxyproline Transport System in the Legume Endosymbiont Sinorhizobium meliloti. Molecular Plant-Microbe Interactions. 22(9). 1116–1127. 20 indexed citations
19.
MacLellan, Shawn R., et al.. (2006). Identification of a megaplasmid centromere reveals genetic structural diversity within the repABC family of basic replicons. Molecular Microbiology. 59(5). 1559–1575. 24 indexed citations
20.
MacLellan, Shawn R., Allyson M. MacLean, & Turlough M. Finan. (2006). Promoter prediction in the rhizobia. Microbiology. 152(6). 1751–1763. 64 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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