Tommaso Raffaello

1.3k total citations
31 papers, 538 citations indexed

About

Tommaso Raffaello is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Tommaso Raffaello has authored 31 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 15 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Tommaso Raffaello's work include Genetically Modified Organisms Research (14 papers), Mycorrhizal Fungi and Plant Interactions (9 papers) and Fungal Biology and Applications (8 papers). Tommaso Raffaello is often cited by papers focused on Genetically Modified Organisms Research (14 papers), Mycorrhizal Fungi and Plant Interactions (9 papers) and Fungal Biology and Applications (8 papers). Tommaso Raffaello collaborates with scholars based in Finland, France and United Kingdom. Tommaso Raffaello's co-authors include Fred O. Asiegbu, Hui Sun, Andriy Kovalchuk, Kajar Köster, Frank Berninger, Jukka Pumpanen, Minna Santalahti, Jussi Heinonsalo, Susanna Keriö and Zhen Zeng and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Tommaso Raffaello

27 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tommaso Raffaello Finland 14 350 159 127 121 113 31 538
L. Gasparotto Brazil 10 355 1.0× 103 0.6× 136 1.1× 70 0.6× 55 0.5× 83 581
Lucie Vincenot France 14 527 1.5× 112 0.7× 274 2.2× 69 0.6× 165 1.5× 19 703
H. H. Kope Canada 12 317 0.9× 70 0.4× 138 1.1× 76 0.6× 131 1.2× 30 431
Camille S. Delavaux United States 11 427 1.2× 65 0.4× 76 0.6× 90 0.7× 96 0.8× 22 561
Richard O’Hanlon Ireland 15 329 0.9× 88 0.6× 139 1.1× 76 0.6× 158 1.4× 25 434
Wade P. Heller United States 11 198 0.6× 369 2.3× 115 0.9× 194 1.6× 83 0.7× 32 685
Andrew Krohn United States 9 316 0.9× 92 0.6× 120 0.9× 116 1.0× 76 0.7× 13 477
María Vivas Spain 15 357 1.0× 83 0.5× 178 1.4× 122 1.0× 61 0.5× 37 515
Kathrin Blumenstein Germany 11 364 1.0× 74 0.5× 327 2.6× 146 1.2× 99 0.9× 20 498
Vilmar Veldre Estonia 8 549 1.6× 161 1.0× 288 2.3× 160 1.3× 217 1.9× 9 740

Countries citing papers authored by Tommaso Raffaello

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Raffaello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Raffaello

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Raffaello. A scholar is included among the top collaborators of Tommaso Raffaello 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 Tommaso Raffaello. Tommaso Raffaello 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.
Casacuberta, Josep, Francisco Barro, Albert Braeuning, et al.. (2025). Assessment of genetically modified cotton T304‐40 for renewal authorisation under Regulation (EC) No 1829/2003 (dossier GMFF‐2024‐23010). EFSA Journal. 23(7). e9580–e9580. 1 indexed citations
2.
Lenzi, Paolo, et al.. (2022). Risk assessment of new sequencing information for genetically modified sugar beet H7‐1. EFSA Journal. 20(6). e07354–e07354. 2 indexed citations
3.
Naegeli, Hanspeter, Jean‐Louis Bresson, Tamás Dalmay, et al.. (2021). Assessment of genetically modified maize MON 88017 × MON 810 for renewal authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐017). EFSA Journal. 19(1). e06375–e06375.
4.
Gennaro, Andrea, Fernando Álvarez, Yann Devos, et al.. (2020). Assessment of the outcomes of the project “Risk Assessment of Genetically Engineered Organisms in the EU and Switzerland” (RAGES). EFSA Supporting Publications. 17(7).
6.
Naegeli, Hanspeter, Tamás Dalmay, Ian Crawford Dewhurst, et al.. (2020). Assessment of genetically modified maize MON 88017 for renewal authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐014). EFSA Journal. 18(3). e06008–e06008. 3 indexed citations
7.
Naegeli, Hanspeter, Jean‐Louis Bresson, Ian Crawford Dewhurst, et al.. (2019). Assessment of genetically modified maize MIR604 for renewal authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐013). EFSA Journal. 17(11). e05846–e05846. 1 indexed citations
9.
Kovalchuk, Andriy, Zhen Zeng, Rajendra P. Ghimire, et al.. (2019). Dual RNA-seq analysis provides new insights into interactions between Norway spruce and necrotrophic pathogen Heterobasidion annosum s.l.. BMC Plant Biology. 19(1). 2–2. 29 indexed citations
10.
Zeng, Zhen, et al.. (2018). Co-Extraction of Genomic DNA & Total RNA from Recalcitrant Woody Tissues for Next-Generation Sequencing Studies. Future Science OA. 4(6). FSO309–FSO309. 7 indexed citations
11.
Zeng, Zhen, Hui Sun, Eeva J. Vainio, et al.. (2018). Intraspecific comparative genomics of isolates of the Norway spruce pathogen (Heterobasidion parviporum) and identification of its potential virulence factors. BMC Genomics. 19(1). 220–220. 28 indexed citations
12.
Raffaello, Tommaso & Fred O. Asiegbu. (2017). Small secreted proteins from the necrotrophic conifer pathogen Heterobasidion annosum s.l. (HaSSPs) induce cell death in Nicotiana benthamiana. Scientific Reports. 7(1). 8000–8000. 21 indexed citations
13.
Sun, Hui, Minna Santalahti, Jukka Pumpanen, et al.. (2016). Bacterial community structure and function shift across a northern boreal forest fire chronosequence. Scientific Reports. 6(1). 32411–32411. 51 indexed citations
14.
Oghenekaro, Abbot, Tommaso Raffaello, Andriy Kovalchuk, & Fred O. Asiegbu. (2016). De novo transcriptomic assembly and profiling of Rigidoporus microporus during saprotrophic growth on rubber wood. BMC Genomics. 17(1). 234–234. 11 indexed citations
15.
Kovalchuk, Andriy, Tommaso Raffaello, Susanna Keriö, et al.. (2015). Activation of defence pathways in Scots pine bark after feeding by pine weevil (Hylobius abietis). BMC Genomics. 16(1). 352–352. 31 indexed citations
16.
Sun, Hui, Minna Santalahti, Jukka Pumpanen, et al.. (2015). Fungal Community Shifts in Structure and Function across a Boreal Forest Fire Chronosequence. Applied and Environmental Microbiology. 81(22). 7869–7880. 108 indexed citations
17.
Raffaello, Tommaso & Fred O. Asiegbu. (2013). Evaluation of potential reference genes for use in gene expression studies in the conifer pathogen (Heterobasidion annosum). Molecular Biology Reports. 40(7). 4605–4611. 21 indexed citations
18.
Raffaello, Tommaso, Hongxin Chen, Annegret Kohler, & Fred O. Asiegbu. (2013). Transcriptomic profiles of H eterobasidion annosum under abiotic stresses and during saprotrophic growth in bark, sapwood and heartwood. Environmental Microbiology. 16(6). 1654–1667. 21 indexed citations
20.
Raffaello, Tommaso, Susanna Keriö, & Fred O. Asiegbu. (2012). Role of the HaHOG1 MAP Kinase in Response of the Conifer Root and But Rot Pathogen (Heterobasidion annosum) to Osmotic and Oxidative Stress. PLoS ONE. 7(2). e31186–e31186. 13 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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