Fernanda Salvato

1.1k total citations
29 papers, 748 citations indexed

About

Fernanda Salvato is a scholar working on Molecular Biology, Plant Science and Spectroscopy. According to data from OpenAlex, Fernanda Salvato has authored 29 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Plant Science and 6 papers in Spectroscopy. Recurrent topics in Fernanda Salvato's work include Advanced Proteomics Techniques and Applications (6 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Fernanda Salvato is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Photosynthetic Processes and Mechanisms (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Fernanda Salvato collaborates with scholars based in United States, Brazil and Denmark. Fernanda Salvato's co-authors include Manuel Kleiner, Jay J. Thelen, R. Shyama Prasad Rao, Ian Max Møller, Robert L. Hettich, David R. Gang, Jesper F. Havelund, Tiago Santana Balbuena, Ricardo Antunes Azevedo and Adelina Rogowska-Wrzesińska and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Fernanda Salvato

29 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernanda Salvato United States 17 377 369 53 44 44 29 748
William L. Franck United States 15 314 0.8× 381 1.0× 38 0.7× 77 1.8× 32 0.7× 28 863
David Toubiana Israel 18 469 1.2× 544 1.5× 73 1.4× 21 0.5× 52 1.2× 31 921
Christelle Lemaître‐Guillier France 14 313 0.8× 479 1.3× 39 0.7× 27 0.6× 33 0.8× 23 903
Christof Rampitsch Canada 20 581 1.5× 922 2.5× 43 0.8× 88 2.0× 25 0.6× 54 1.3k
Tara Fish United States 19 691 1.8× 601 1.6× 50 0.9× 33 0.8× 22 0.5× 40 1.1k
Tiejun Zhang China 20 432 1.1× 709 1.9× 134 2.5× 15 0.3× 38 0.9× 73 1.1k
Long Qu China 16 333 0.9× 393 1.1× 138 2.6× 15 0.3× 84 1.9× 37 916
Hancai Chen Australia 18 449 1.2× 548 1.5× 74 1.4× 24 0.5× 45 1.0× 24 991
Brian V. Tsu United States 7 441 1.2× 159 0.4× 94 1.8× 15 0.3× 57 1.3× 7 693
Jinliang Liu China 18 441 1.2× 632 1.7× 28 0.5× 10 0.2× 33 0.8× 65 997

Countries citing papers authored by Fernanda Salvato

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Salvato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Salvato

This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Salvato. A scholar is included among the top collaborators of Fernanda Salvato 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 Fernanda Salvato. Fernanda Salvato 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.
Salvato, Fernanda, et al.. (2024). Enterococcal quorum-controlled protease alters phage infection. PubMed. 5. xtae022–xtae022. 2 indexed citations
2.
Salvato, Fernanda & Manuel Kleiner. (2024). A Complete Metaproteomic Workflow for Arabidopsis Roots Inoculated by Synthetic Bacteria. Methods in molecular biology. 2820. 57–65. 1 indexed citations
3.
Salvato, Fernanda, Raquel Figueiredo, & Paulo Mazzafera. (2022). Nuclei Enrichment from Sugarcane Stems for Proteomics Analyses. Methods in molecular biology. 2469. 79–87. 1 indexed citations
4.
Salvato, Fernanda, Robert L. Hettich, & Manuel Kleiner. (2021). Five key aspects of metaproteomics as a tool to understand functional interactions in host-associated microbiomes. PLoS Pathogens. 17(2). e1009245–e1009245. 56 indexed citations
5.
Wagner, Maggie R., et al.. (2021). Microbe-dependent heterosis in maize. Proceedings of the National Academy of Sciences. 118(30). 57 indexed citations
6.
Salvato, Fernanda, et al.. (2019). Quantitative proteomic analysis of tomato genotypes with differential cadmium tolerance. Environmental Science and Pollution Research. 26(25). 26039–26051. 19 indexed citations
7.
Eler, Joanir Pereira, Alessandra Fernandes Rosa, Pâmela A. Alexandre, et al.. (2019). Liver proteomics unravel the metabolic pathways related to Feed Efficiency in beef cattle. Scientific Reports. 9(1). 5364–5364. 43 indexed citations
8.
Salvato, Fernanda, et al.. (2018). Temporal dynamic responses of roots in contrasting tomato genotypes to cadmium tolerance. Ecotoxicology. 27(3). 245–258. 48 indexed citations
9.
Wang, Yingnan, Xiaoyuan Peng, Fernanda Salvato, et al.. (2018). Salt-adaptive strategies in oil seed crop Ricinus communis early seedlings (cotyledon vs. true leaf) revealed from proteomics analysis. Ecotoxicology and Environmental Safety. 171. 12–25. 31 indexed citations
10.
Zhang, Ning, R. Shyama Prasad Rao, Fernanda Salvato, et al.. (2018). MU-LOC: A Machine-Learning Method for Predicting Mitochondrially Localized Proteins in Plants. Frontiers in Plant Science. 9. 634–634. 34 indexed citations
11.
12.
Ahsan, Nagib, Mingjie Chen, Fernanda Salvato, et al.. (2017). Comparative proteomic analysis provides insight into the biological role of protein phosphatase inhibitor-2 from Arabidopsis. Journal of Proteomics. 165. 51–60. 3 indexed citations
13.
Rao, R. Shyama Prasad, et al.. (2016). The proteome of higher plant mitochondria. Mitochondrion. 33. 22–37. 59 indexed citations
14.
Fialho, Maurício Batista, et al.. (2015). Proteomic response of the phytopathogen Phyllosticta citricarpa to antimicrobial volatile organic compounds from Saccharomyces cerevisiae. Microbiological Research. 183. 1–7. 23 indexed citations
15.
Santos, André Luis Wendt dos, et al.. (2015). Quantitative proteomic analysis of Araucaria angustifolia (Bertol.) Kuntze cell lines with contrasting embryogenic potential. Journal of Proteomics. 130. 180–189. 38 indexed citations
16.
He, Ruifeng, Fernanda Salvato, Min-Jeong Kim, et al.. (2014). A systems-wide comparison of red rice (Oryza longistaminata) tissues identifies rhizome specific genes and proteins that are targets for cultivated rice improvement. BMC Plant Biology. 14(1). 46–46. 35 indexed citations
17.
Havelund, Jesper F., Fernanda Salvato, Mingjie Chen, et al.. (2014). Isolation of Mitochondria from Potato Tubers. BIO-PROTOCOL. 4(17). 9 indexed citations
18.
Leite, Aline de Lima, Camila Peres‐Buzalaf, Fernanda Salvato, et al.. (2013). Renal Proteome in Mice with Different Susceptibilities to Fluorosis. PLoS ONE. 8(1). e53261–e53261. 19 indexed citations
19.
Balbuena, Tiago Santana, Ruifeng He, Fernanda Salvato, David R. Gang, & Jay J. Thelen. (2012). Large-Scale Proteome Comparative Analysis of Developing Rhizomes of the Ancient Vascular Plant Equisetum Hyemale. Frontiers in Plant Science. 3. 131–131. 16 indexed citations
20.
Salvato, Fernanda, et al.. (2011). Thermostable invertases from Paecylomyces variotii produced under submerged and solid-state fermentation using agroindustrial residues. World Journal of Microbiology and Biotechnology. 28(2). 463–472. 29 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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