Matteo Dell’Acqua

2.2k total citations
48 papers, 1.1k citations indexed

About

Matteo Dell’Acqua is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Matteo Dell’Acqua has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 26 papers in Genetics and 7 papers in Agronomy and Crop Science. Recurrent topics in Matteo Dell’Acqua's work include Genetic Mapping and Diversity in Plants and Animals (24 papers), Genetics and Plant Breeding (18 papers) and Wheat and Barley Genetics and Pathology (17 papers). Matteo Dell’Acqua is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (24 papers), Genetics and Plant Breeding (18 papers) and Wheat and Barley Genetics and Pathology (17 papers). Matteo Dell’Acqua collaborates with scholars based in Italy, Ethiopia and United States. Matteo Dell’Acqua's co-authors include Mario Enrico Pè, Carlo Fadda, Yosef Gebrehawaryat Kidane, Dejene K. Mengistu, Mario Enrico Pè, Elisabetta Frascaroli, Hilde Nelissen, Dirk Inzé, Joke Baute and Frederik Coppens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Matteo Dell’Acqua

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Dell’Acqua Italy 21 823 484 130 120 99 48 1.1k
M. Olsen Kenya 14 1.1k 1.3× 445 0.9× 142 1.1× 264 2.2× 249 2.5× 25 1.3k
H. Ouabbou Morocco 14 888 1.1× 321 0.7× 149 1.1× 171 1.4× 107 1.1× 29 982
Adnan Al‐Yassin Syria 12 813 1.0× 217 0.4× 155 1.2× 179 1.5× 31 0.3× 19 932
Ravish Chatrath India 15 1.7k 2.0× 263 0.5× 119 0.9× 508 4.2× 41 0.4× 54 1.8k
Isack Mathew South Africa 19 831 1.0× 152 0.3× 93 0.7× 279 2.3× 48 0.5× 60 1.0k
Peter C. McKeown Ireland 17 564 0.7× 137 0.3× 266 2.0× 57 0.5× 68 0.7× 58 923
Yüksel Kaya Türkiye 14 950 1.2× 214 0.4× 47 0.4× 302 2.5× 111 1.1× 36 1.0k
Thomas Payne Mexico 22 1.3k 1.6× 481 1.0× 99 0.8× 354 3.0× 36 0.4× 41 1.4k
Maricelis Acevedo United States 20 873 1.1× 304 0.6× 212 1.6× 95 0.8× 27 0.3× 42 1.0k
Gilles Charmet France 19 1.5k 1.8× 469 1.0× 79 0.6× 504 4.2× 95 1.0× 22 1.8k

Countries citing papers authored by Matteo Dell’Acqua

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Dell’Acqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matteo Dell’Acqua. 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 Matteo Dell’Acqua. The network helps show where Matteo Dell’Acqua may publish in the future.

Co-authorship network of co-authors of Matteo Dell’Acqua

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Dell’Acqua. A scholar is included among the top collaborators of Matteo Dell’Acqua 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 Matteo Dell’Acqua. Matteo Dell’Acqua 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.
Rindi, Luca, Jianyu He, Mara Miculan, et al.. (2025). Legacies of temperature fluctuations promote stability in marine biofilm communities. Nature Communications. 16(1). 2442–2442. 1 indexed citations
2.
Ferguson, John N., Leonardo Caproni, Julia Walter, et al.. (2025). A deficient CP24 allele defines variation for dynamic nonphotochemical quenching and photosystem II efficiency in maize. The Plant Cell. 37(4). 5 indexed citations
3.
4.
Tong, Hao, et al.. (2025). Predicting plant trait dynamics from genetic markers. Nature Plants. 11(5). 1018–1027. 2 indexed citations
5.
Cannarozzi, Gina, et al.. (2024). The role of omics in improving the orphan crop tef. Trends in Genetics. 40(5). 449–461. 3 indexed citations
6.
Lanubile, Alessandra, et al.. (2024). Transcriptome profiling of eight Zea mays lines identifies genes responsible for the resistance to Fusarium verticillioides. BMC Plant Biology. 24(1). 1107–1107. 2 indexed citations
7.
Perata, Pierdomenico, et al.. (2024). Seed bacterial microbiota in post-submergence tolerant and sensitive barley genotypes. Functional Plant Biology. 51(2). 3 indexed citations
8.
Dell’Acqua, Matteo, et al.. (2024). Unlocking genetic diversity for low-input systems in a changing climate through participatory characterization and GWAS of lentil landraces. Scientific Reports. 14(1). 31979–31979. 1 indexed citations
9.
Caproni, Leonardo, et al.. (2024). Genomic, climatic, and cultural diversity of maize landraces from the Himalayan Kingdom of Bhutan. Plants People Planet. 6(4). 965–978. 2 indexed citations
10.
11.
Caproni, Leonardo, Mara Miculan, Yosef Gebrehawaryat Kidane, et al.. (2023). The genomic and bioclimatic characterization of Ethiopian barley (Hordeum vulgare L.) unveils challenges and opportunities to adapt to a changing climate. Global Change Biology. 29(8). 2335–2350. 11 indexed citations
12.
Etten, Jacob van, Kauê de Sousa, Jill E. Cairns, et al.. (2023). Data-driven approaches can harness crop diversity to address heterogeneous needs for breeding products. Proceedings of the National Academy of Sciences. 120(14). e2205771120–e2205771120. 21 indexed citations
13.
Miculan, Mara, Leonardo Caproni, Kauê de Sousa, et al.. (2022). Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates. eLife. 11. 17 indexed citations
14.
Sousa, Kauê de, Jacob van Etten, Jesse Poland, et al.. (2021). Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment. Communications Biology. 4(1). 944–944. 31 indexed citations
15.
Miculan, Mara, et al.. (2021). Genome wide association study of agronomic and seed traits in a world collection of proso millet (Panicum miliaceum L.). BMC Plant Biology. 21(1). 330–330. 35 indexed citations
16.
Camacho-Villa, Tania Carolina, et al.. (2019). The abandonment of maize landraces over the last 50 years in Morelos, Mexico: a tracing study using a multi-level perspective. Agriculture and Human Values. 36(4). 651–668. 31 indexed citations
17.
Kidane, Yosef Gebrehawaryat, et al.. (2018). A large nested association mapping population for breeding and quantitative trait locus mapping in Ethiopian durum wheat. Plant Biotechnology Journal. 17(7). 1380–1393. 41 indexed citations
18.
Baute, Joke, Dorota Herman, Frederik Coppens, et al.. (2016). Combined Large-Scale Phenotyping and Transcriptomics in Maize Reveals a Robust Growth Regulatory Network. PLANT PHYSIOLOGY. 170(3). 1848–1867. 43 indexed citations
19.
Baute, Joke, Dorota Herman, Frederik Coppens, et al.. (2015). Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population. Genome biology. 16(1). 168–168. 36 indexed citations
20.
Dell’Acqua, Matteo, Andrea Zuccolo, Metin Tuna, Luca Gianfranceschi, & Mario Enrico Pè. (2014). Targeting environmental adaptation in the monocot model Brachypodium distachyon: a multi-faceted approach. BMC Genomics. 15(1). 801–801. 27 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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