Edoardo Saccenti

6.8k total citations · 4 hit papers
112 papers, 4.7k citations indexed

About

Edoardo Saccenti is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, Edoardo Saccenti has authored 112 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 14 papers in Public Health, Environmental and Occupational Health and 12 papers in Agronomy and Crop Science. Recurrent topics in Edoardo Saccenti's work include Metabolomics and Mass Spectrometry Studies (36 papers), Bioinformatics and Genomic Networks (22 papers) and Gene expression and cancer classification (12 papers). Edoardo Saccenti is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (36 papers), Bioinformatics and Genomic Networks (22 papers) and Gene expression and cancer classification (12 papers). Edoardo Saccenti collaborates with scholars based in Netherlands, Italy and Denmark. Edoardo Saccenti's co-authors include Age K. Smilde, Johan A. Westerhuis, Leonardo Tenori, Ewa Szymańska, Margriet M. W. B. Hendriks, Huub C. J. Hoefsloot, Claudio Luchinat, Jannigje G. Kers, Abdul‐Hamid Emwas and Ryan T. McKay and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Edoardo Saccenti

106 papers receiving 4.7k citations

Hit Papers

NMR Spectroscopy for Metabolomics Research 2011 2026 2016 2021 2019 2011 2013 2022 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NMR Spectroscopy for Metabolomics Research
    2019 721 citations Abdul‐Hamid Emwas, Raja Roy et al. Metabolites profile →
  2. Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies
    2011 663 citations Edoardo Saccenti et al. profile →
  3. Reflections on univariate and multivariate analysis of metabolomics data
    2013 460 citations Edoardo Saccenti et al. profile →
  4. The Power of Microbiome Studies: Some Considerations on Which Alpha and Beta Metrics to Use and How to Report Results
    2022 174 citations Edoardo Saccenti et al. profile →

Peers

Edoardo Saccenti
Leonardo Tenori Italy
Susan Sumner United States
Roman Eisner Canada
Siqian He United States
Craig Knox Canada
Matthias Scholz Italy
An Chi Guo Canada
Yan Ni China
Leonardo Tenori Italy
Edoardo Saccenti
Citations per year, relative to Edoardo Saccenti Edoardo Saccenti (= 1×) peers Leonardo Tenori

Countries citing papers authored by Edoardo Saccenti

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Saccenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edoardo Saccenti

This figure shows the co-authorship network connecting the top 25 collaborators of Edoardo Saccenti. A scholar is included among the top collaborators of Edoardo Saccenti 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 Edoardo Saccenti. Edoardo Saccenti 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.
Furlan, Cristina, María Suárez‐Diez, & Edoardo Saccenti. (2025). A Validated Proteomic Signature of Basal-like Triple-Negative Breast Cancer Subtypes Obtained from Publicly Available Data. Cancers. 17(16). 2601–2601. 1 indexed citations
2.
Saccenti, Edoardo, R.M.A. Goselink, J.J. Gross, et al.. (2025). Investigating the relationship between dairy dam preconception and gestation characteristics and heifer offspring variables from birth to lactation. Journal of Dairy Science. 108(7). 7758–7774.
3.
Saccenti, Edoardo, et al.. (2024). Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1867(4). 195062–195062.
4.
Saccenti, Edoardo, et al.. (2024). Designing interpretable deep learning applications for functional genomics: a quantitative analysis. Briefings in Bioinformatics. 25(5). 5 indexed citations
5.
Lingen, Henk J. van, María Suárez‐Diez, & Edoardo Saccenti. (2024). Normalization of gene counts affects principal components-based exploratory analysis of RNA-sequencing data. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1867(4). 195058–195058. 1 indexed citations
6.
Saccenti, Edoardo. (2024). A gentle introduction to principal component analysis using tea‐pots, dinosaurs, and pizza. Teaching Statistics. 46(1). 38–52. 3 indexed citations
7.
Wang, Xiaodan, Wouter Bakker, Carolien Lute, et al.. (2024). Discrimination of Lipogenic or Glucogenic Diet Effects in Early-Lactation Dairy Cows Using Plasma Metabolite Abundances and Ratios in Combination with Machine Learning. Metabolites. 14(4). 230–230. 1 indexed citations
8.
Wang, Haomiao, Sjef Boeren, Wouter Bakker, et al.. (2024). An integrated proteomics and metabolomics analysis of methylglyoxal-induced neurotoxicity in a human neuroblastoma cell line. npj Science of Food. 8(1). 84–84. 5 indexed citations
9.
Vignoli, Alessia, et al.. (2023). Exploration of Blood Metabolite Signatures of Colorectal Cancer and Polyposis through Integrated Statistical and Network Analysis. Metabolites. 13(2). 296–296. 5 indexed citations
10.
Tenori, Leonardo, et al.. (2022). Association of Plasma Metabolites and Lipoproteins with Rh and ABO Blood Systems in Healthy Subjects. Journal of Proteome Research. 21(11). 2655–2663. 4 indexed citations
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Medina, Laura M. Palma, Trond Bruun, Martin Bruun Madsen, et al.. (2021). Discriminatory plasma biomarkers predict specific clinical phenotypes of necrotizing soft-tissue infections. Journal of Clinical Investigation. 131(14). 12 indexed citations
14.
Tenori, Leonardo, Gaia Meoni, Rossella Marcucci, et al.. (2021). Lipid and metabolite correlation networks specific to clinical and biochemical covariate show differences associated with sexual dimorphism in a cohort of nonagenarians. GeroScience. 44(2). 1109–1128. 2 indexed citations
15.
Vignoli, Alessia, Leonardo Tenori, Claudio Luchinat, & Edoardo Saccenti. (2020). Differential Network Analysis Reveals Molecular Determinants Associated with Blood Pressure and Heart Rate in Healthy Subjects. Journal of Proteome Research. 20(1). 1040–1051. 3 indexed citations
16.
Madsen, Martin Bruun, Steinar Skrede, Anders Perner, et al.. (2019). Patient’s characteristics and outcomes in necrotising soft-tissue infections: results from a Scandinavian, multicentre, prospective cohort study. Intensive Care Medicine. 45(9). 1241–1251. 90 indexed citations
17.
Emwas, Abdul‐Hamid, Raja Roy, Ryan T. McKay, et al.. (2019). NMR Spectroscopy for Metabolomics Research. Metabolites. 9(7). 123–123. 721 indexed citations breakdown →
18.
Suárez‐Diez, María, et al.. (2019). Simulation and Reconstruction of Metabolite–Metabolite Association Networks Using a Metabolic Dynamic Model and Correlation Based Algorithms. Journal of Proteome Research. 18(3). 1099–1113. 18 indexed citations
19.
Camacho, José, et al.. (2019). Semi-Supervised Multivariate Statistical Network Monitoring for Learning Security Threats. IEEE Transactions on Information Forensics and Security. 14(8). 2179–2189. 37 indexed citations
20.
Calabrò, Antonello, et al.. (2014). A Metabolomic Perspective on Coeliac Disease. Autoimmune Diseases. 2014. 1–13. 20 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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