Raffaele Lodi

10.0k total citations
231 papers, 6.5k citations indexed

About

Raffaele Lodi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Raffaele Lodi has authored 231 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 64 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Neurology. Recurrent topics in Raffaele Lodi's work include Mitochondrial Function and Pathology (64 papers), Advanced MRI Techniques and Applications (38 papers) and Genetic Neurodegenerative Diseases (33 papers). Raffaele Lodi is often cited by papers focused on Mitochondrial Function and Pathology (64 papers), Advanced MRI Techniques and Applications (38 papers) and Genetic Neurodegenerative Diseases (33 papers). Raffaele Lodi collaborates with scholars based in Italy, United Kingdom and United States. Raffaele Lodi's co-authors include Caterina Tonon, Bruno Barbiroli, David Neil Manners, Stefano Iotti, Claudia Testa, Peter Styles, Anthony H.V. Schapira, Pietro Cortelli, P. Zaniol and Doris J. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Raffaele Lodi

220 papers receiving 6.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raffaele Lodi 3.2k 1.6k 1.5k 1.1k 719 231 6.5k
Joseph C. LaManna 3.8k 1.2× 1.9k 1.2× 1.4k 0.9× 1.0k 0.9× 305 0.4× 265 10.0k
Karen D. Pettigrew 1.7k 0.5× 2.3k 1.5× 1.2k 0.8× 2.0k 1.8× 564 0.8× 75 7.4k
Roland N. Auer 2.2k 0.7× 3.1k 2.0× 1.6k 1.1× 411 0.4× 534 0.7× 146 8.5k
Susan J. Vannucci 3.6k 1.1× 1.9k 1.2× 1.0k 0.7× 503 0.4× 380 0.5× 120 11.0k
Anders Paetau 5.1k 1.6× 1.4k 0.9× 3.1k 2.0× 523 0.5× 889 1.2× 223 11.3k
Sami I. Harik 2.3k 0.7× 1.9k 1.2× 1.3k 0.8× 502 0.4× 377 0.5× 158 6.7k
Caterina Tonon 1.0k 0.3× 762 0.5× 1.2k 0.8× 762 0.7× 519 0.7× 161 3.7k
Edward G. Stopa 2.4k 0.7× 2.2k 1.4× 1.5k 0.9× 404 0.4× 482 0.7× 128 9.4k
Wolfgang Kuschinsky 1.8k 0.6× 1.3k 0.8× 1.5k 1.0× 992 0.9× 210 0.3× 162 6.2k
Merja Haaparanta‐Solin 1.4k 0.5× 1.7k 1.1× 1.5k 1.0× 2.1k 1.8× 900 1.3× 191 8.0k

Countries citing papers authored by Raffaele Lodi

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Lodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Lodi

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Lodi. A scholar is included among the top collaborators of Raffaele Lodi 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 Raffaele Lodi. Raffaele Lodi 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.
Bragazzi, Nicola Luigi, Carlotta Mutti, Alberto Sardella, et al.. (2025). The Complex Interplay Between Sleep and Healthy Aging: A Scoping Review. Nature and Science of Sleep. Volume 17. 3085–3100.
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Pellegrini, Camilla, Francesco Ravaioli, Sara De Fanti, et al.. (2024). Detection of Brain-Derived Cell-Free DNA in Plasma. Diagnostics. 14(22). 2541–2541. 1 indexed citations
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Xie, Yuting, Fulvio Zaccagna, Leonardo Rundo, et al.. (2024). IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI. Diagnostics. 14(10). 997–997. 1 indexed citations
6.
Remondini, Daniel, Claudia Testa, Raffaele Lodi, et al.. (2024). Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset. eNeuro. 11(5). ENEURO.0458–22.2023. 3 indexed citations
7.
Manners, David Neil, Lorenzo Motta, Fulvio Zaccagna, et al.. (2024). Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysis. Scientific Data. 11(1). 575–575. 5 indexed citations
8.
Gramegna, Laura Ludovica, Claudia Godi, Laura Piccolo, et al.. (2024). The Contribution of Vessel Wall Magnetic Resonance Imaging to the Diagnosis of Primary and Secondary Central Nervous System Vasculitis. Diagnostics. 14(9). 927–927. 2 indexed citations
9.
Evangelisti, Camilla, Giulia Ramazzotti, Sofia Asioli, et al.. (2023). Phospholipases in Gliomas: Current Knowledge and Future Perspectives from Bench to Bedside. Biomolecules. 13(5). 798–798. 1 indexed citations
10.
Redolfi, Alberto, Fabrizio Tagliavini, Raffaele Lodi, et al.. (2022). Italian, European, and international neuroinformatics efforts: An overview. European Journal of Neuroscience. 57(12). 2017–2039. 4 indexed citations
11.
Grist, James T., Frank Riemer, Maria Lyasheva, et al.. (2022). Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI. Diagnostics. 12(9). 2125–2125. 13 indexed citations
12.
Nunno, Vincenzo Di, Giuseppe Minniti, Sofia Asioli, et al.. (2022). Machine learning in neuro-oncology: toward novel development fields. Journal of Neuro-Oncology. 159(2). 333–346. 8 indexed citations
13.
Manners, David Neil, Laura Ludovica Gramegna, Chiara La Morgia, et al.. (2022). Multishell Diffusion MR Tractography Yields Morphological and Microstructural Information of the Anterior Optic Pathway: A Proof-of-Concept Study in Patients with Leber’s Hereditary Optic Neuropathy. International Journal of Environmental Research and Public Health. 19(11). 6914–6914. 2 indexed citations
14.
Riefolo, Mattia, Tiziana Lazzarotto, Liliana Gabrielli, et al.. (2022). COVID-19 and the Brain: The Neuropathological Italian Experience on 33 Adult Autopsies. Biomolecules. 12(5). 629–629. 12 indexed citations
15.
Nunno, Vincenzo Di, Ilaria Maggio, Lidia Gatto, et al.. (2021). Clinical Efficacy of Immune Checkpoint Inhibitors in Patients with Brain Metastases. Immunotherapy. 13(5). 419–432. 9 indexed citations
16.
Maggio, Ilaria, Enrico Franceschi, Alicia Tosoni, et al.. (2021). Meningioma: not always a benign tumor. A review of advances in the treatment of meningiomas. CNS Oncology. 10(2). CNS72–CNS72. 82 indexed citations
17.
Bizzi, Alberto, Riccardo Pascuzzo, Janis Blevins, et al.. (2020). Subtype Diagnosis of Sporadic Creutzfeldt–Jakob Disease with Diffusion Magnetic Resonance Imaging. Annals of Neurology. 89(3). 560–572. 31 indexed citations
18.
Mitolo, Micaela, Michelangelo Stanzani Maserati, Sabina Capellari, et al.. (2019). Predicting conversion from mild cognitive impairment to Alzheimer's disease using brain 1H-MRS and volumetric changes: A two- year retrospective follow-up study. NeuroImage Clinical. 23. 101843–101843. 41 indexed citations
19.
Talozzi, Lia, Claudia Testa, Stefania Evangelisti, et al.. (2018). Along-tract analysis of the arcuate fasciculus using the Laplacian operator to evaluate different tractography methods. Magnetic Resonance Imaging. 54. 183–193. 8 indexed citations
20.
Testa, Claudia, Giovanna Calandra–Buonaura, Stefania Evangelisti, et al.. (2018). Stridor-related gray matter alterations in multiple system atrophy: A pilot study. Parkinsonism & Related Disorders. 62. 226–230. 3 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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