Miguel Nemesio‐Gorriz

521 total citations
17 papers, 330 citations indexed

About

Miguel Nemesio‐Gorriz is a scholar working on Plant Science, Ecology and Molecular Biology. According to data from OpenAlex, Miguel Nemesio‐Gorriz has authored 17 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Ecology and 5 papers in Molecular Biology. Recurrent topics in Miguel Nemesio‐Gorriz's work include Forest Insect Ecology and Management (8 papers), Mycorrhizal Fungi and Plant Interactions (5 papers) and Plant Pathogens and Fungal Diseases (4 papers). Miguel Nemesio‐Gorriz is often cited by papers focused on Forest Insect Ecology and Management (8 papers), Mycorrhizal Fungi and Plant Interactions (5 papers) and Plant Pathogens and Fungal Diseases (4 papers). Miguel Nemesio‐Gorriz collaborates with scholars based in Sweden, Ireland and Germany. Miguel Nemesio‐Gorriz's co-authors include Malin Elfstrand, Almuth Hammerbacher, Jan Stenlid, Karl Lundén, Kerstin Dalman, Fred O. Asiegbu, Inés Ezcurra, Katarina Ihrmark, Julia Wind and Jonathan Gershenzon and has published in prestigious journals such as Science, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Miguel Nemesio‐Gorriz

16 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel Nemesio‐Gorriz Sweden 10 198 162 105 75 58 17 330
Karl Lundén Sweden 10 190 1.0× 119 0.7× 82 0.8× 70 0.9× 56 1.0× 18 298
Ma. del Carmen Rocha-Granados Mexico 6 402 2.0× 137 0.8× 43 0.4× 68 0.9× 13 0.2× 11 478
Rodrigo A. Chorbadjian Chile 8 212 1.1× 76 0.5× 107 1.0× 69 0.9× 123 2.1× 24 340
Agathe Vialle Canada 9 252 1.3× 174 1.1× 28 0.3× 192 2.6× 34 0.6× 11 319
W. A. Smit South Africa 8 344 1.7× 118 0.7× 73 0.7× 223 3.0× 58 1.0× 11 409
Claude Gertz France 11 166 0.8× 134 0.8× 33 0.3× 15 0.2× 114 2.0× 14 297
Beatrice Ginetti Italy 8 190 1.0× 78 0.5× 96 0.9× 197 2.6× 37 0.6× 15 261
Qikai Xing China 8 354 1.8× 162 1.0× 40 0.4× 217 2.9× 16 0.3× 17 407
T. Groom Australia 14 368 1.9× 107 0.7× 37 0.4× 256 3.4× 20 0.3× 32 424
Laurence Feugey France 5 401 2.0× 143 0.9× 21 0.2× 112 1.5× 15 0.3× 6 481

Countries citing papers authored by Miguel Nemesio‐Gorriz

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Nemesio‐Gorriz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Nemesio‐Gorriz. 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 Miguel Nemesio‐Gorriz. The network helps show where Miguel Nemesio‐Gorriz may publish in the future.

Co-authorship network of co-authors of Miguel Nemesio‐Gorriz

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

All Works

17 of 17 papers shown
1.
Plumb, William J., Laura J. Kelly, Robyn F. Powell, et al.. (2025). Preliminary genetic barcodes for ash ( Fraxinus ) species and generation of new wide hybrids. Plants People Planet. 8(1). 245–258.
2.
Plumb, William J., Jonathan Stocks, Laura J. Kelly, et al.. (2025). Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic. Science. 388(6754). 1422–1425. 1 indexed citations
3.
Doonan, James, Katharina B. Budde, Chatchai Kosawang, et al.. (2025). Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe. Plant Cell & Environment. 48(5). 3793–3809. 3 indexed citations
4.
Redondo, Miguel Ángel, Núria Catalán, Tamara Corcobado, et al.. (2024). Climate acts as an environmental filter to plant pathogens. The ISME Journal. 18(1). 4 indexed citations
5.
Farrelly, Niall, Miguel Nemesio‐Gorriz, Ian Short, et al.. (2022). An outline of achievements in selected areas of forest research in Ireland 1960–2021. Irish Journal of Agricultural and Food Research. 61(1). 1 indexed citations
6.
Queloz, Valentin, et al.. (2021). First report of Hymenoscyphus fraxineus causing ash dieback in Spain. New Disease Reports. 44(2). 14 indexed citations
7.
Chaudhary, Rajiv, Karl Lundén, Kerstin Dalman, et al.. (2020). Combining transcriptomics and genetic linkage based information to identify candidate genes associated with Heterobasidion-resistance in Norway spruce. Scientific Reports. 10(1). 12711–12711. 5 indexed citations
8.
Nemesio‐Gorriz, Miguel, Riya C. Menezes, Christian Paetz, et al.. (2020). Canditate metabolites for ash dieback tolerance in Fraxinus excelsior. Journal of Experimental Botany. 71(19). 6074–6083. 24 indexed citations
9.
Plumb, William J., Jonathan Stocks, Paul Woodcock, et al.. (2019). The viability of a breeding programme for ash in the British Isles in the face of ash dieback. Plants People Planet. 2(1). 29–40. 24 indexed citations
10.
Nemesio‐Gorriz, Miguel, et al.. (2019). Lenticel infection in Fraxinus excelsior shoots in the context of ash dieback. iForest - Biogeosciences and Forestry. 12(2). 160–165. 24 indexed citations
11.
Dalman, Kerstin, Julia Wind, Miguel Nemesio‐Gorriz, et al.. (2017). Overexpression of PaNAC03, a stress induced NAC gene family transcription factor in Norway spruce leads to reduced flavonol biosynthesis and aberrant embryo development. BMC Plant Biology. 17(1). 6–6. 51 indexed citations
12.
Nemesio‐Gorriz, Miguel, et al.. (2017). Identification of Norway Spruce MYB-bHLH-WDR Transcription Factor Complex Members Linked to Regulation of the Flavonoid Pathway. Frontiers in Plant Science. 8. 305–305. 57 indexed citations
13.
Nemesio‐Gorriz, Miguel, Almuth Hammerbacher, Katarina Ihrmark, et al.. (2016). Different alleles of a gene encoding leucoanthocyanidin reductase (PaLAR3) influence resistance against the fungus Heterobasidion parviporum in Picea abies. PLANT PHYSIOLOGY. 171(4). pp.00685.2016–pp.00685.2016. 34 indexed citations
14.
Oliva, Jonàs, Carl Gunnar Fossdal, Ari M. Hietala, et al.. (2015). Transcriptional responses of Norway spruce (Picea abies) inner sapwood againstHeterobasidion parviporum. Tree Physiology. 35(9). 1007–1015. 25 indexed citations
15.
Vries, Sophie de, et al.. (2015). Heterotrimeric G–proteins in Picea abies and their regulation in response to Heterobasidion annosum s.l. infection. BMC Plant Biology. 15(1). 287–287. 2 indexed citations
16.
Lundén, Karl, Mikael Brandström Durling, Katarina Ihrmark, et al.. (2015). Transcriptional Responses Associated with Virulence and Defence in the Interaction between Heterobasidion annosum s.s. and Norway Spruce. PLoS ONE. 10(7). e0131182–e0131182. 24 indexed citations
17.

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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