Dan MacLean

11.1k total citations
99 papers, 5.7k citations indexed

About

Dan MacLean is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Dan MacLean has authored 99 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 44 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Dan MacLean's work include Plant-Microbe Interactions and Immunity (20 papers), Genomics and Phylogenetic Studies (19 papers) and Plant Physiology and Cultivation Studies (12 papers). Dan MacLean is often cited by papers focused on Plant-Microbe Interactions and Immunity (20 papers), Genomics and Phylogenetic Studies (19 papers) and Plant Physiology and Cultivation Studies (12 papers). Dan MacLean collaborates with scholars based in United Kingdom, United States and Germany. Dan MacLean's co-authors include David J. Studholme, Jonathan D. G. Jones, Silke Robatzek, Sophien Kamoun, Alexandra M. E. Jones, John C. Gray, Cyril Zipfel, Graham Etherington, Alexandre Robert‐Seilaniantz and John P. Rathjen and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Dan MacLean

94 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan MacLean United Kingdom 36 4.2k 2.5k 549 294 207 99 5.7k
Doil Choi South Korea 47 6.5k 1.6× 2.9k 1.2× 474 0.9× 343 1.2× 303 1.5× 169 7.5k
Jesús V. Jorrín–Novo Spain 42 3.5k 0.8× 2.3k 0.9× 507 0.9× 154 0.5× 119 0.6× 175 5.2k
Mickaël Malnoy Italy 38 3.8k 0.9× 2.5k 1.0× 788 1.4× 169 0.6× 377 1.8× 127 4.8k
Bo Li China 41 4.0k 0.9× 1.5k 0.6× 577 1.1× 141 0.5× 218 1.1× 218 5.5k
Michael H. Beale United Kingdom 38 3.5k 0.8× 2.4k 1.0× 373 0.7× 196 0.7× 436 2.1× 118 5.3k
Jean T. Greenberg United States 45 6.9k 1.6× 3.7k 1.5× 594 1.1× 496 1.7× 325 1.6× 76 8.9k
Ping He United States 57 8.7k 2.1× 3.6k 1.5× 623 1.1× 385 1.3× 248 1.2× 165 10.4k
Iain W. Wilson Australia 35 4.3k 1.0× 2.6k 1.0× 336 0.6× 267 0.9× 342 1.7× 95 5.4k
Axel Nagel Germany 11 4.0k 0.9× 3.0k 1.2× 218 0.4× 359 1.2× 216 1.0× 12 5.6k

Countries citing papers authored by Dan MacLean

Since Specialization
Citations

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

Fields of papers citing papers by Dan MacLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan MacLean

This figure shows the co-authorship network connecting the top 25 collaborators of Dan MacLean. A scholar is included among the top collaborators of Dan 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 Dan MacLean. Dan 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.
2.
Escamilla, Rafael F., et al.. (2024). Effects of Ankle Position While Performing One- and Two-Leg Floor Bridging Exercises on Core and Lower Extremity Muscle Recruitment. Bioengineering. 11(4). 356–356. 1 indexed citations
3.
4.
Derevnina, Lida, Mauricio P. Contreras, Hiroaki Adachi, et al.. (2021). Plant pathogens convergently evolved to counteract redundant nodes of an NLR immune receptor network. PLoS Biology. 19(8). e3001136–e3001136. 79 indexed citations
5.
Ding, Pingtao, Toshiyuki Sakai, Nicolás Manosalva Pérez, et al.. (2021). Chromatin accessibility landscapes activated by cell-surface and intracellular immune receptors. Journal of Experimental Botany. 72(22). 7927–7941. 19 indexed citations
6.
Ding, Pingtao, Bruno Pok Man Ngou, Oliver J. Furzer, et al.. (2020). High‐resolution expression profiling of selected gene sets during plant immune activation. Plant Biotechnology Journal. 18(7). 1610–1619. 16 indexed citations
7.
Dı́az-Pérez, Juan Carlos, et al.. (2019). Controlled Atmosphere Storage for Pomegranates (Punica granatum L.): Benefits over Regular Air Storage. HortScience. 54(6). 1061–1066. 8 indexed citations
8.
Wirthmueller, Lennart, Shuta Asai, Ghanasyam Rallapalli, et al.. (2018). Arabidopsis downy mildew effector HaRxL106 suppresses plant immunity by binding to RADICAL‐INDUCED CELL DEATH1. New Phytologist. 220(1). 232–248. 43 indexed citations
9.
Bourdais, Gildas, Deirdre H. McLachlan, Ji Zhou, et al.. (2018). The use of quantitative imaging to investigate regulators of membrane trafficking in Arabidopsis stomatal closure. Traffic. 20(2). 168–180. 20 indexed citations
10.
Špika, Maja Jukić, et al.. (2015). Physical and chemical properties of pomegranate fruit accessions from Croatia. Food Chemistry. 177. 53–60. 68 indexed citations
11.
Monaghan, Jacqueline, Susanne Matschi, Oluwaseyi Shorinola, et al.. (2014). The Calcium-Dependent Protein Kinase CPK28 Buffers Plant Immunity and Regulates BIK1 Turnover. Cell Host & Microbe. 16(5). 605–615. 201 indexed citations
12.
Cano, Liliana M., Sylvain Raffaele, Diane G. O. Saunders, et al.. (2013). Major Transcriptome Reprogramming Underlies Floral Mimicry Induced by the Rust Fungus Puccinia monoica in Boechera stricta. PLoS ONE. 8(9). e75293–e75293. 22 indexed citations
13.
Farrer, Rhys A., Daniel A. Henk, Dan MacLean, David J. Studholme, & Matthew C. Fisher. (2013). Using False Discovery Rates to Benchmark SNP-callers in next-generation sequencing projects. Scientific Reports. 3(1). 1512–1512. 30 indexed citations
14.
Ban, Smiljana Goreta, et al.. (2011). Pomological and chemical characteristics of pomegranate cultivars (Punica granatum L.) in the valley of the river Neretva.. 1048–1051.
15.
MacLean, Dan & D. Scott NeSmith. (2011). Rabbiteye Blueberry Postharvest Fruit Quality and Stimulation of Ethylene Production by 1-Methylcyclopropene. HortScience. 46(9). 1278–1281. 18 indexed citations
16.
McGregor, Cecilia, et al.. (2011). Genotypic and Phenotypic Variation among Pepper Accessions Resistant to Phytophthora capsici. HortScience. 46(9). 1235–1240. 16 indexed citations
17.
Raffaele, Sylvain, Rhys A. Farrer, Liliana M. Cano, et al.. (2010). Genome Evolution Following Host Jumps in the Irish Potato Famine Pathogen Lineage. Science. 330(6010). 1540–1543. 303 indexed citations
18.
Lewsey, Mathew G., Alex M. Murphy, Dan MacLean, et al.. (2010). Disruption of Two Defensive Signaling Pathways by a Viral RNA Silencing Suppressor. Molecular Plant-Microbe Interactions. 23(7). 835–845. 142 indexed citations
19.
MacLean, Dan & David J. Studholme. (2010). A Boolean Model of the Pseudomonas syringae hrp Regulon Predicts a Tightly Regulated System. PLoS ONE. 5(2). e9101–e9101. 15 indexed citations
20.
Chua, Yii Leng, et al.. (2004). Microarray analysis of chromatin‐immunoprecipitated DNA identifies specific regions of tobacco genes associated with acetylated histones. The Plant Journal. 37(6). 789–800. 24 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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