Manuela Silva

1.7k total citations
33 papers, 1.3k citations indexed

About

Manuela Silva is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Manuela Silva has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 12 papers in Molecular Biology and 3 papers in Agronomy and Crop Science. Recurrent topics in Manuela Silva's work include Wheat and Barley Genetics and Pathology (14 papers), Chromosomal and Genetic Variations (14 papers) and Plant Disease Resistance and Genetics (11 papers). Manuela Silva is often cited by papers focused on Wheat and Barley Genetics and Pathology (14 papers), Chromosomal and Genetic Variations (14 papers) and Plant Disease Resistance and Genetics (11 papers). Manuela Silva collaborates with scholars based in Portugal, United States and United Kingdom. Manuela Silva's co-authors include Wanda Viegas, Craig S. Pikaard, Olga Pontes, Nuno Neves, Keith Earley, Richard J. Lawrence, Richard J. Lawrence, Nuno Neves, Luca Comai and Andreas Madlung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Molecular Cell.

In The Last Decade

Manuela Silva

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuela Silva Portugal 16 1.1k 788 152 103 39 33 1.3k
Éric Lasserre France 13 1.0k 0.9× 707 0.9× 85 0.6× 43 0.4× 23 0.6× 16 1.2k
Angus G. Hepburn United States 14 705 0.6× 530 0.7× 81 0.5× 53 0.5× 22 0.6× 25 838
Simon Renny‐Byfield United States 16 1.0k 0.9× 686 0.9× 220 1.4× 233 2.3× 30 0.8× 19 1.2k
Diane Luth United States 12 766 0.7× 485 0.6× 129 0.8× 44 0.4× 95 2.4× 15 943
Shu‐Nong Bai China 23 1.3k 1.1× 1.1k 1.4× 134 0.9× 149 1.4× 7 0.2× 59 1.5k
Huixian Zhao China 21 864 0.8× 516 0.7× 98 0.6× 42 0.4× 56 1.4× 41 998
Ryan C. Kirkbride United States 10 1.2k 1.0× 768 1.0× 197 1.3× 57 0.6× 17 0.4× 12 1.3k
Martín A. Mecchia Argentina 16 1.7k 1.5× 1.3k 1.6× 66 0.4× 105 1.0× 29 0.7× 18 1.8k
Fernando A. Rabanal Germany 14 757 0.7× 472 0.6× 187 1.2× 64 0.6× 15 0.4× 23 936
Naxin Huo United States 14 735 0.6× 327 0.4× 157 1.0× 107 1.0× 52 1.3× 16 900

Countries citing papers authored by Manuela Silva

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Silva. A scholar is included among the top collaborators of Manuela Silva 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 Manuela Silva. Manuela Silva 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.
Silva, Manuela, et al.. (2025). Revealing the dynamics of fungal disease with proteomics. Molecular Omics. 21(3). 173–184. 3 indexed citations
2.
Arriagada, Osvin, Claudio Meneses, Romina Pedreschi, et al.. (2025). Combined multi-omics and physiological approaches to elucidate drought-response mechanisms of durum wheat. Frontiers in Plant Science. 16. 1540179–1540179.
3.
Pereira, Rita, et al.. (2024). Deciphering heat wave effects on wheat grain: focusing on the starch fraction. Frontiers in Plant Science. 15. 1459283–1459283.
4.
Viegas, Wanda, et al.. (2022). Grain Transcriptome Dynamics Induced by Heat in Commercial and Traditional Bread Wheat Genotypes. Frontiers in Plant Science. 13. 842599–842599. 9 indexed citations
5.
Rodrígues, José Carlos, et al.. (2020). Assessment of High Temperature Effects on Grain Yield and Composition in Bread Wheat Commercial Varieties. Agronomy. 10(4). 499–499. 24 indexed citations
6.
Viegas, Wanda, et al.. (2020). Effects of Post-Anthesis Heat Waves on the Grain Quality of Seven European Wheat Varieties. Agronomy. 10(2). 268–268. 12 indexed citations
7.
Coelho, Luís, et al.. (2020). Assessment of Four Portuguese Wheat Landrace Diversity to Cope With Global Warming. Frontiers in Plant Science. 11. 594977–594977. 8 indexed citations
8.
Viegas, Wanda, et al.. (2019). Unravelling the hidden inter and intra-varietal diversity of durum wheat commercial varieties used in Portugal. Plant Genetic Resources. 17(4). 386–389. 1 indexed citations
9.
10.
Viegas, Wanda, et al.. (2017). 45S rDNA external transcribed spacer organization reveals new phylogenetic relationships in Avena genus. PLoS ONE. 12(4). e0176170–e0176170. 11 indexed citations
11.
Dias, Ana Paula Soares, Manuela Silva, Hugo R. Oliveira, et al.. (2016). Genetic Diversity Assessment of Portuguese Cultivated Vicia faba L. through IRAP Markers. Diversity. 8(2). 8–8. 11 indexed citations
12.
Oliveira, Hugo R., et al.. (2016). Genetic Diversity and Population Structure in Vicia faba L. Landraces and Wild Related Species Assessed by Nuclear SSRs. PLoS ONE. 11(5). e0154801–e0154801. 33 indexed citations
13.
Viegas, Wanda, et al.. (2013). Retrotransposons Represent the Most Labile Fraction for Genomic Rearrangements in Polyploid Plant Species. Cytogenetic and Genome Research. 140(2-4). 286–294. 14 indexed citations
14.
Viegas, Wanda, et al.. (2012). Differential Effects of High-Temperature Stress on Nuclear Topology and Transcription of Repetitive Noncoding and Coding Rye Sequences. Cytogenetic and Genome Research. 139(2). 119–127. 10 indexed citations
15.
Pereira, H. Sofia, et al.. (2008). Polyploidization as a Retraction Force in Plant Genome Evolution: Sequence Rearrangements in Triticale. PLoS ONE. 3(1). e1402–e1402. 79 indexed citations
16.
Neves, Nuno, Margarida Delgado, Manuela Silva, et al.. (2005). Ribosomal DNA heterochromatin in plants. Cytogenetic and Genome Research. 109(1-3). 104–111. 39 indexed citations
17.
Lawrence, Richard J., Keith Earley, Olga Pontes, et al.. (2004). A Concerted DNA Methylation/Histone Methylation Switch Regulates rRNA Gene Dosage Control and Nucleolar Dominance. Molecular Cell. 13(4). 599–609. 279 indexed citations
18.
Neves, Nathália de Andrade, Manuela Silva, J. S. Heslop‐Harrison, & Wanda Viegas. (1997). Nucleolar dominance in triticales: control by unlinked genes. Chromosome Research. 5(2). 125–131. 54 indexed citations
19.
Silva, Manuela, Álvaro Antônio Alencar de Queiroz, Nathália de Andrade Neves, et al.. (1995). Reprogramming of rye rDNA in triticale during microsporogenesis. Chromosome Research. 3(8). 492–496. 18 indexed citations
20.
Castilho, Alexandra, et al.. (1995). The developmental stage of inactivation of rye origin rRNA genes in the embryo and endosperm of wheat � rye F1 hybrids. Chromosome Research. 3(3). 169–174. 12 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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