Leonardo Tenori

7.2k total citations · 1 hit paper
137 papers, 4.7k citations indexed

About

Leonardo Tenori is a scholar working on Molecular Biology, Physiology and Complementary and alternative medicine. According to data from OpenAlex, Leonardo Tenori has authored 137 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 26 papers in Physiology and 17 papers in Complementary and alternative medicine. Recurrent topics in Leonardo Tenori's work include Metabolomics and Mass Spectrometry Studies (92 papers), Traditional Chinese Medicine Studies (14 papers) and Diet and metabolism studies (13 papers). Leonardo Tenori is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (92 papers), Traditional Chinese Medicine Studies (14 papers) and Diet and metabolism studies (13 papers). Leonardo Tenori collaborates with scholars based in Italy, Netherlands and United Kingdom. Leonardo Tenori's co-authors include Claudio Luchinat, Edoardo Saccenti, Alessia Vignoli, Paola Turano, Gaia Meoni, Veronica Ghini, Abdul‐Hamid Emwas, Raja Roy, David S. Wishart and G. A. Nagana Gowda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Leonardo Tenori

129 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

NMR Spectroscopy for Metabolomics Research

2019 721 citations Abdul‐Hamid Emwas, Raja Roy et al. Metabolites profile →

Peers

Countries citing papers authored by Leonardo Tenori

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Tenori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Tenori

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multi‐Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome 2025 ·Journal of Periodontal Research ·Giacomo Baima, Shareef M. Dabdoub, Vivek Thumbigere‐Math, Davide Giuseppe Ribaldone, Gian Paolo Caviglia, Leonardo Tenori, (unknown), Alessia Vignoli, Mario Romandini, Ilario Ferrocino, Mario Aimetti	1
2	A metabolic profiling approach to characterize and discriminate plant-based beverages and milk 2025 ·Journal of Dairy Science ·Gaia Meoni, (unknown), Leonardo Tenori, Giovanni Niero, (unknown), Massimo De Marchi, Carmen L. Manuelian	0
3	Predicting reperfusion injury and functional status after stroke using blood biomarkers: the STROKELABED study 2025 ·Journal of Translational Medicine ·Alessia Vignoli, Elena Sticchi, Benedetta Piccardi, (unknown), Cristina Sarti, (unknown), Francesco Arba, Enrico Fainardi, (unknown), Betti Giusti, (unknown), Leonardo Tenori, Marzia Baldereschi	1
4	Lipidomic Profile of Human Sperm Membrane Identifies a Clustering of Lipids Associated with Semen Quality and Function 2023 ·International Journal of Molecular Sciences ·Andrea Di Nisio, Luca De Toni, Iva Šabović, Alessia Vignoli, Leonardo Tenori, Stefano Dall’Acqua, Stefania Sut, Sandro La Vignera, Rosita A. Condorelli, Filippo Giacone, Alberto Ferlin, Carlo Foresta, Andrea Garolla	5
5	Effectiveness of mid-infrared spectroscopy for the prediction of cow milk metabolites 2023 ·Journal of Dairy Science ·Marco Franzoi, Giovanni Niero, Gaia Meoni, Leonardo Tenori, Claudio Luchinat, Mauro Penasa, Martino Cassandro, Massimo De Marchi	5
6	Nuclear Magnetic Resonance-Based Metabolomics to Predict Early and Late Adverse Outcomes in Ischemic Stroke Treated with Intravenous Thrombolysis 2022 ·Journal of Proteome Research ·Cristina Licari, Leonardo Tenori, (unknown), Claudio Luchinat, Betti Giusti, (unknown), (unknown), Domenico Inzitari, Benedetta Piccardi, Mascia Nesi, Cristina Sarti, Francesco Arba, Vanessa Palumbo, Patrizia Nencini, Rossella Marcucci, Anna Maria Gori, Elena Sticchi	3
7	Metabolomics of gingival crevicular fluid to identify biomarkers for periodontitis: A systematic review with meta‐analysis 2021 ·Journal of Periodontal Research ·Giacomo Baima, (unknown), (unknown), Federica Romano, Filippo Citterio, Gaia Meoni, Leonardo Tenori, Mario Aimetti	47
8	Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab 2021 ·PLoS Pathogens ·Gaia Meoni, Veronica Ghini, Laura Maggi, Alessia Vignoli, Alessio Mazzoni, Lorenzo Salvati, Manuela Capone, Anna Vanni, Leonardo Tenori, Paolo Fontanari, Federico Lavorini, Adriano Peris, Alessandro Bartoloni, Francesco Liotta, Lorenzo Cosmi, Claudio Luchinat, Francesco Annunziato, Paola Turano	72
9	Exploration of Blood Lipoprotein and Lipid Fraction Profiles in Healthy Subjects through Integrated Univariate, Multivariate, and Network Analysis Reveals Association of Lipase Activity and Cholesterol Esterification with Sex and Age 2021 ·Metabolites ·(unknown), Alessia Vignoli, Leonardo Tenori, Claudio Luchinat, Edoardo Saccenti	6
10	Analysis of Metabolite and Lipid Association Networks Reveals Molecular Mechanisms Associated with 3-Month Mortality and Poor Functional Outcomes in Patients with Acute Ischemic Stroke after Thrombolytic Treatment with Recombinant Tissue Plasminogen Activator 2021 ·Journal of Proteome Research ·Cristina Licari, Leonardo Tenori, Betti Giusti, Elena Sticchi, (unknown), (unknown), Domenico Inzitari, Benedetta Piccardi, Mascia Nesi, Cristina Sarti, Francesco Arba, Vanessa Palumbo, Patrizia Nencini, Rossella Marcucci, (unknown), Claudio Luchinat, Edoardo Saccenti	10
11	Metabolomics to Assess Response to Immune Checkpoint Inhibitors in Patients with Non-Small-Cell Lung Cancer 2020 ·Cancers ·Veronica Ghini, Letizia Laera, (unknown), Francesca Del Monte, Matteo Benelli, Amelia McCartney, Leonardo Tenori, Claudio Luchinat, Daniele Pozzessere	74
12	Effects of Probiotics Administration on Human Metabolic Phenotype 2020 ·Metabolites ·Veronica Ghini, Leonardo Tenori, Marco Pane, Angela Amoruso, (unknown), Diletta Francesca Squarzanti, Barbara Azzimonti, Roberta Rolla, Paola Savoia, Mirko Tarocchi, Andrea Galli, Claudio Luchinat	9
13	Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy 2020 ·Cancers ·Alessia Vignoli, Elena Muraro, Gianmaria Miolo, Leonardo Tenori, Paola Turano, (unknown), Agostino Steffan, Claudio Luchinat, Giuseppe Corona	24
14	Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification 2019 ·npj Breast Cancer ·Amelia McCartney, Alessia Vignoli, Leonardo Tenori, Monica Fornier, Lorenzo Rossi, Emanuela Risi, Claudio Luchinat, Laura Biganzoli, Angelo Di Leo	14
15	NMR Spectroscopy for Metabolomics Research breakdown → 2019 ·Metabolites ·Abdul‐Hamid Emwas, Raja Roy, Ryan T. McKay, Leonardo Tenori, Edoardo Saccenti, G. A. Nagana Gowda, Daniel Raftery, Fatimah Alahmari, Łukasz Jaremko, Mariusz Jaremko, David S. Wishart	721
16	Uniqueness of the NMR approach to metabolomics 2018 ·TrAC Trends in Analytical Chemistry ·Panteleimon G. Takis, Veronica Ghini, Leonardo Tenori, Paola Turano, Claudio Luchinat	93
17	High‐Throughput Metabolomics by 1D NMR 2018 ·Angewandte Chemie International Edition ·Alessia Vignoli, Veronica Ghini, Gaia Meoni, Cristina Licari, Panteleimon G. Takis, Leonardo Tenori, Paola Turano, Claudio Luchinat	276
18	Evidence of a DHA Signature in the Lipidome and Metabolome of Human Hepatocytes 2017 ·International Journal of Molecular Sciences ·Veronica Ghini, Mattia Di Nunzio, Leonardo Tenori, Veronica Valli, Francesca Danesi, Francesco Capozzi, Claudio Luchinat, Alessandra Bordoni	35
19	A serum metabolomic analysis of HCV-infected patients successfully treated with IFN-free DAA regimens 2016 ·Florence Research (University of Florence) ·(unknown), Gaia Meoni, Leonardo Tenori, Laura Gragnani, Elisa Fognani, (unknown), Claudio Luchinat, Anna Linda Zignego	1
20	Knowledge discovery by accuracy maximization 2014 ·Proceedings of the National Academy of Sciences ·Stefano Cacciatore, Claudio Luchinat, Leonardo Tenori	33

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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