Alessia Vignoli

1.7k total citations
56 papers, 1.2k citations indexed

About

Alessia Vignoli is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alessia Vignoli has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alessia Vignoli's work include Metabolomics and Mass Spectrometry Studies (37 papers), Traditional Chinese Medicine Studies (5 papers) and Cancer, Lipids, and Metabolism (5 papers). Alessia Vignoli is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (37 papers), Traditional Chinese Medicine Studies (5 papers) and Cancer, Lipids, and Metabolism (5 papers). Alessia Vignoli collaborates with scholars based in Italy, Netherlands and United Kingdom. Alessia Vignoli's co-authors include Leonardo Tenori, Claudio Luchinat, Paola Turano, Gaia Meoni, Veronica Ghini, Panteleimon G. Takis, Cristina Licari, Laura Biganzoli, Edoardo Saccenti and Angelo Di Leo and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Alessia Vignoli

51 papers receiving 1.2k citations

Peers

Alessia Vignoli

PHYSI

SPECT

EPIDE

Sarantos Kostidis Netherlands

Laurence Le Moyec France

Ashish Gupta India

Mohamed N. Triba France

Jake T. M. Pearce United Kingdom

G. Hanton France

Elizabeth Stanley United Kingdom

Lu Deng Canada

Jean-Loïc Le Net France

Mingxin Li China

Sarantos Kostidis Netherlands

Alessia Vignoli

1.2k ×1.5

290 ×1.4

PHYSI

128 ×0.8

SPECT

192 ×1.4

154 ×1.2

EPIDE

Citations per year, relative to Alessia Vignoli Alessia Vignoli (= 1×) peers Sarantos Kostidis

Countries citing papers authored by Alessia Vignoli

Since Specialization

Citations

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

Fields of papers citing papers by Alessia Vignoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessia Vignoli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessia Vignoli. A scholar is included among the top collaborators of Alessia Vignoli 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 Alessia Vignoli. Alessia Vignoli 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

Baima, Giacomo, Shareef M. Dabdoub, Vivek Thumbigere‐Math, et al.. (2025). Multi‐Omics Signatures of Periodontitis and Periodontal Therapy on the Oral and Gut Microbiome. Journal of Periodontal Research. 60(12). 1237–1253. 1 indexed citations

Vignoli, Alessia, et al.. (2025). pyIHM: Indirect Hard Modeling, in Python. Analytical Chemistry. 97(8). 4598–4605. 1 indexed citations

Vignoli, Alessia, Elena Sticchi, Benedetta Piccardi, et al.. (2025). Predicting reperfusion injury and functional status after stroke using blood biomarkers: the STROKELABED study. Journal of Translational Medicine. 23(1). 491–491. 1 indexed citations

Vignoli, Alessia, Stefano Cacciatore, & Leonardo Tenori. (2025). Deriving three one dimensional NMR spectra from a single experiment through machine learning. Nature Communications. 16(1). 10159–10159.

Nisio, Andrea Di, Luca De Toni, Iva Šabović, et al.. (2023). Lipidomic Profile of Human Sperm Membrane Identifies a Clustering of Lipids Associated with Semen Quality and Function. International Journal of Molecular Sciences. 25(1). 297–297. 5 indexed citations

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

Vignoli, Alessia, Leonardo Tenori, Cristina Morsiani, et al.. (2022). Serum or Plasma (and Which Plasma), That Is the Question. Journal of Proteome Research. 21(4). 1061–1072. 52 indexed citations

Risi, Emanuela, C. Lisanti, Alessia Vignoli, et al.. (2022). Risk assessment of disease recurrence in early breast cancer: A serum metabolomic study focused on elderly patients. Translational Oncology. 27. 101585–101585. 2 indexed citations

Meoni, Gaia, Veronica Ghini, Laura Maggi, et al.. (2021). Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab. PLoS Pathogens. 17(2). e1009243–e1009243. 72 indexed citations

10.

Vignoli, Alessia, et al.. (2021). 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. Metabolites. 11(5). 326–326. 6 indexed citations

11.

Vignoli, Alessia, Emanuela Risi, Amelia McCartney, et al.. (2021). Precision Oncology via NMR-Based Metabolomics: A Review on Breast Cancer. International Journal of Molecular Sciences. 22(9). 4687–4687. 28 indexed citations

12.

Vignoli, Alessia, Elena Mori, Samantha Di Donato, et al.. (2021). Exploring Serum NMR-Based Metabolomic Fingerprint of Colorectal Cancer Patients: Effects of Surgery and Possible Associations with Cancer Relapse. Applied Sciences. 11(23). 11120–11120. 3 indexed citations

13.

Corona, Giuseppe, et al.. (2021). 1H-NMR Plasma Lipoproteins Profile Analysis Reveals Lipid Metabolism Alterations in HER2-Positive Breast Cancer Patients. Cancers. 13(22). 5845–5845. 11 indexed citations

14.

Vignoli, Alessia, Elena Muraro, Gianmaria Miolo, et al.. (2020). Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy. Cancers. 12(2). 314–314. 24 indexed citations

15.

Vignoli, Alessia, Silvia Paciotti, Leonardo Tenori, et al.. (2020). Fingerprinting Alzheimer’s Disease by ¹H Nuclear Magnetic Resonance Spectroscopy of Cerebrospinal Fluid. Journal of Proteome Research. 19(4). 1696–1705. 33 indexed citations

16.

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

17.

McCartney, Amelia, Alessia Vignoli, Leonardo Tenori, et al.. (2019). Metabolomic analysis of serum may refine 21-gene expression assay risk recurrence stratification. npj Breast Cancer. 5(1). 26–26. 14 indexed citations

18.

Vignoli, Alessia, Veronica Ghini, Gaia Meoni, et al.. (2018). High‐Throughput Metabolomics by 1D NMR. Angewandte Chemie International Edition. 58(4). 968–994. 276 indexed citations

19.

Vignoli, Alessia, Veronica Ghini, Gaia Meoni, et al.. (2018). Hochdurchsatz‐Metabolomik mit 1D‐NMR. INFM-OAR (INFN Catania). 131(4). 980–1007. 10 indexed citations

20.

Rittweger, Jörn, Kirsten Albracht, Martin Flück, et al.. (2018). Sarcolab pilot study into skeletal muscle’s adaptation to long-term spaceflight. npj Microgravity. 4(1). 18–18. 61 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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