Marco Trujillo

2.8k total citations
42 papers, 2.1k citations indexed

About

Marco Trujillo is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Marco Trujillo has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 21 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Marco Trujillo's work include Plant-Microbe Interactions and Immunity (21 papers), Ubiquitin and proteasome pathways (19 papers) and Autophagy in Disease and Therapy (9 papers). Marco Trujillo is often cited by papers focused on Plant-Microbe Interactions and Immunity (21 papers), Ubiquitin and proteasome pathways (19 papers) and Autophagy in Disease and Therapy (9 papers). Marco Trujillo collaborates with scholars based in Germany, Japan and United Kingdom. Marco Trujillo's co-authors include Ken Shirasu, Karl‐Heinz Kogel, Ralph Hückelhoven, K. Ichimura, Catarina Casais, John M. McDowell, Martin Stegmann, Ryan G. Anderson, Sophie Jacobs and Patrick Schäfer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marco Trujillo

41 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Trujillo Germany 25 1.6k 949 239 112 47 42 2.1k
Naohiro Kato United States 27 2.0k 1.3× 1.7k 1.8× 273 1.1× 67 0.6× 29 0.6× 56 2.7k
Shunping Yan China 16 2.1k 1.3× 1.2k 1.3× 115 0.5× 54 0.5× 20 0.4× 33 2.5k
Olga del Pozo United States 16 1.7k 1.0× 1.0k 1.1× 108 0.5× 61 0.5× 15 0.3× 18 2.0k
Run Cai China 23 2.5k 1.6× 1.4k 1.5× 118 0.5× 35 0.3× 18 0.4× 65 3.1k
Hyun‐Sook Pai South Korea 28 1.6k 1.0× 1.6k 1.7× 186 0.8× 71 0.6× 7 0.1× 75 2.3k
Simon Stael Belgium 21 1.4k 0.9× 1.3k 1.3× 96 0.4× 55 0.5× 8 0.2× 43 2.0k
Rosa L. López‐Marqués Denmark 23 668 0.4× 1.0k 1.1× 225 0.9× 74 0.7× 12 0.3× 49 1.6k
Benoît Menand France 20 1.9k 1.2× 1.5k 1.6× 63 0.3× 62 0.6× 22 0.5× 30 2.4k
Jelle Van Leene Belgium 26 1.9k 1.2× 1.8k 1.9× 305 1.3× 38 0.3× 9 0.2× 43 2.6k
Fionn McLoughlin United States 19 944 0.6× 930 1.0× 218 0.9× 364 3.3× 9 0.2× 28 1.6k

Countries citing papers authored by Marco Trujillo

Since Specialization
Citations

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

Fields of papers citing papers by Marco Trujillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Trujillo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Trujillo. A scholar is included among the top collaborators of Marco Trujillo 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 Marco Trujillo. Marco Trujillo 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.
Isono, Erika, Jianming Li, Pablo Pulido, et al.. (2024). Protein degrons and degradation: Exploring substrate recognition and pathway selection in plants. The Plant Cell. 36(9). 3074–3098. 9 indexed citations
2.
Trujillo, Marco, et al.. (2022). Analysis of Immunity-Related Oxidative Bursts by a Luminol-Based Assay. Methods in molecular biology. 2494. 339–346. 1 indexed citations
3.
Trujillo, Marco, et al.. (2022). Coexpression and Reconstitution of Enzymatic Cascades in Bacteria Using UbiGate. Methods in molecular biology. 2379. 155–169. 1 indexed citations
4.
Yu, Gang, Maria Derkacheva, José S. Rufián, et al.. (2022). The Arabidopsis E3 ubiquitin ligase PUB4 regulates BIK1 and is targeted by a bacterial type‐III effector. The EMBO Journal. 41(23). e107257–e107257. 54 indexed citations
5.
Bredow, Melissa, Kyle W. Bender, Danielle Ciren, et al.. (2021). Phosphorylation-dependent subfunctionalization of the calcium-dependent protein kinase CPK28. Proceedings of the National Academy of Sciences. 118(19). 52 indexed citations
6.
Navarrete, Fernando, Michelle Gallei, André Alcântara, et al.. (2021). The Pleiades are a cluster of fungal effectors that inhibit host defenses. PLoS Pathogens. 17(6). e1009641–e1009641. 24 indexed citations
7.
Trujillo, Marco. (2021). Ubiquitination and PARylation cross-talk about immunity. Molecular Plant. 14(12). 1976–1978. 3 indexed citations
8.
Brillada, Carla, Ooi-Kock Teh, Franck Anicet Ditengou, et al.. (2020). Exocyst subunit Exo70B2 is linked to immune signaling and autophagy. The Plant Cell. 33(2). 404–419. 41 indexed citations
9.
Brillada, Carla, et al.. (2019). Dissecting the plant exocyst. Current Opinion in Plant Biology. 52. 69–76. 35 indexed citations
10.
Trujillo, Marco. (2017). News from the PUB: plant U-box type E3 ubiquitin ligases. Journal of Experimental Botany. 69(3). 371–384. 112 indexed citations
11.
Trujillo, Marco, et al.. (2017). In Vitro Ubiquitination Activity Assays in Plant Immune Responses. Methods in molecular biology. 1578. 109–121. 3 indexed citations
12.
Trujillo, Marco. (2016). Analysis of the lmmunity-Related Oxidative Bursts by a Luminol-Based Assay. Methods in molecular biology. 1398. 323–329. 8 indexed citations
13.
Majovsky, Petra, Christin Naumann, Chil-Woo Lee, et al.. (2014). Targeted Proteomics Analysis of Protein Degradation in Plant Signaling on an LTQ-Orbitrap Mass Spectrometer. Journal of Proteome Research. 13(10). 4246–4258. 38 indexed citations
14.
Trujillo, Marco & Ken Shirasu. (2010). Ubiquitination in plant immunity. Current Opinion in Plant Biology. 13(4). 402–408. 151 indexed citations
15.
Trujillo, Marco, K. Ichimura, Catarina Casais, & Ken Shirasu. (2008). Negative Regulation of PAMP-Triggered Immunity by an E3 Ubiquitin Ligase Triplet in Arabidopsis. Current Biology. 18(18). 1396–1401. 217 indexed citations
16.
Trujillo, Marco, et al.. (2006). Respiratory Burst Oxidase Homologue A of barley contributes to penetration by the powdery mildew fungus Blumeria graminis f. sp. hordei. Journal of Experimental Botany. 57(14). 3781–3791. 60 indexed citations
17.
Trujillo, Marco, Karl‐Heinz Kogel, & Ralph Hückelhoven. (2004). Superoxide and Hydrogen Peroxide Play Different Roles in the Nonhost Interaction of Barley and Wheat with Inappropriate formae speciales of Blumeria graminis. Molecular Plant-Microbe Interactions. 17(3). 304–312. 42 indexed citations
18.
Fernández, José J., Luz Candenas, Marı́a L. Souto, Marco Trujillo, & Manuel Norte. (2002). Okadaic Acid, Useful Tool for Studying Cellular Processes. Current Medicinal Chemistry. 9(2). 229–262. 128 indexed citations
19.
Hückelhoven, Ralph, Cornelia Dechert, Marco Trujillo, & Karl‐Heinz Kogel. (2001). Differential expression of putative cell death regulator genes in near-isogenic, resistant and susceptible barley lines during interaction with the powdery mildew fungus. Plant Molecular Biology. 47(6). 739–748. 79 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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