Francesco Grussu

2.2k total citations
48 papers, 943 citations indexed

About

Francesco Grussu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, Francesco Grussu has authored 48 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pathology and Forensic Medicine and 8 papers in Orthopedics and Sports Medicine. Recurrent topics in Francesco Grussu's work include Advanced Neuroimaging Techniques and Applications (35 papers), MRI in cancer diagnosis (18 papers) and Advanced MRI Techniques and Applications (17 papers). Francesco Grussu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (35 papers), MRI in cancer diagnosis (18 papers) and Advanced MRI Techniques and Applications (17 papers). Francesco Grussu collaborates with scholars based in United Kingdom, Spain and Italy. Francesco Grussu's co-authors include Claudia A. M. Gandini Wheeler‐Kingshott, Daniel C. Alexander, Torben Schneider, Hui Zhang, Ferrán Prados, Marios Yiannakas, Carmen Tur, Andrada Ianuș, Richard L. Yates and Gabriele C. DeLuca and has published in prestigious journals such as PLoS ONE, NeuroImage and Brain.

In The Last Decade

Francesco Grussu

44 papers receiving 936 citations

Peers

Countries citing papers authored by Francesco Grussu

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Grussu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Grussu

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Grussu. A scholar is included among the top collaborators of Francesco Grussu 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 Francesco Grussu. Francesco Grussu 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	The Sense of Smell ( SoS ) Atlas: Its Creation and First Application to Investigate COVID ‐19 Related Anosmia With a Comprehensive Quantitative MRI Protocol 2025 ·Journal of Magnetic Resonance Imaging ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Marco Battiston, Francesco Grussu, Baris Kanber, Ferrán Prados, Rebecca S. Samson, Janine Makaronidis, Marios Yiannakas, Michael S. Zandi, Rachel L. Batterham, Egidio D’Angelo, Fulvia Palesi, Claudia A. M. Gandini Wheeler‐Kingshott	0
2	ESR Essentials: diffusion-weighted MRI—practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology 2025 ·European Radiology ·Marco Palombo, Benedetta Bodini, Francesco Grussu, Denis Le Bihan, Markus Nilsson, Raquel Pérez-López, E.H. Oei, Ivo G. Schoots, Marion Smits, Ileana Jelescu	0
3	Radiomics signature for dynamic monitoring of tumor inflamed microenvironment and immunotherapy response prediction 2025 ·Journal for ImmunoTherapy of Cancer ·Kinga Bernatowicz, Ramon Amat, (unknown), Joan Frigola, Marta Ligero, Francesco Grussu, (unknown), Garazi Serna, Paolo Nucíforo, Rodrigo A. Toledo, Manuel Escobar, Elena Garralda, Enriqueta Felip, Raquel Pérez-López	9
4	Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer 2024 ·Radiology Artificial Intelligence ·(unknown), (unknown), Vı́ctor Navarro, (unknown), Marta Ligero, Alonso García-Ruiz, Garazi Serna, S. Simonetti, Irene Braña, María Vieito, Manuel Escobar, Jaume Capdevila, Annette T. Byrne, Rodrigo Dienstmann, Rodrigo A. Toledo, Paolo Nucíforo, Elena Garralda, Francesco Grussu, Kinga Bernatowicz, Raquel Pérez-López	15
5	What contributes to disability in progressive MS? A brain and cervical cord–matched quantitative MRI study 2024 ·Multiple Sclerosis Journal ·Carmen Tur, Marco Battiston, Marios Yiannakas, Sara Collorone, Alberto Calvi, Ferrán Prados, Baris Kanber, Francesco Grussu, (unknown), (unknown), Daniele Martinelli, Torben Schneider, Olga Ciccarelli, Rebecca S. Samson, Claudia A. M. Gandini Wheeler‐Kingshott	2
6	Advanced Diffusion‐Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology 2023 ·Journal of Magnetic Resonance Imaging ·(unknown), Juan A. Hernández‐Tamames, Andrada Ianuș, Markus Nilsson, Chantal M. W. Tax, Raquel Pérez-López, Francesco Grussu	8
7	Feasibility of in vivo multi-parametric quantitative magnetic resonance imaging of the healthy sciatic nerve with a unified signal readout protocol 2023 ·Scientific Reports ·(unknown), Marco Battiston, Francesco Grussu, (unknown), Alberto Calvi, Rebecca S. Samson, Claudia A. M. Gandini Wheeler‐Kingshott, Marios Yiannakas	0
8	Multi‐echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla 2022 ·Magnetic Resonance in Medicine ·Emma Biondetti, (unknown), Francesco Grussu, Marco Battiston, Marios Yiannakas, David L. Thomas, Karin Shmueli	7
9	Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique 2021 ·NeuroImage Clinical ·Carmen Tur, Francesco Grussu, Floriana De Angelis, Ferrán Prados, Baris Kanber, Alberto Calvi, Arman Eshaghi, (unknown), Rosa Cortese, Declan Chard, Jeremy Chataway, Alan J. Thompson, Olga Ciccarelli, Claudia A. M. Gandini Wheeler‐Kingshott	4
10	Assessing Lumbar Plexus and Sciatic Nerve Damage in Relapsing-Remitting Multiple Sclerosis Using Magnetisation Transfer Ratio 2021 ·Frontiers in Neurology ·(unknown), Rebecca S. Samson, Carmen Tur, Marco Battiston, Francesco Grussu, Torben Schneider, Masami Yoneyama, Ferrán Prados, (unknown), Sara Collorone, Rosa Cortese, Olga Ciccarelli, Claudia A. M. Gandini Wheeler‐Kingshott, Marios Yiannakas	6
11	Diffusion-Weighted Imaging: Recent Advances and Applications 2021 ·Seminars in Ultrasound CT and MRI ·Eloy Martínez‐Heras, Francesco Grussu, Ferrán Prados, Elisabeth Solana, Sara Llufriú	46
12	Robust imaging habitat computation using voxel-wise radiomics features 2021 ·Scientific Reports ·Kinga Bernatowicz, Francesco Grussu, Marta Ligero, Alonso García-Ruiz, (unknown), Raquel Pérez-López	17
13	Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising 2020 ·NeuroImage ·Francesco Grussu, Marco Battiston, Jelle Veraart, Torben Schneider, Julien Cohen‐Adad, Timothy M. Shepherd, Daniel C. Alexander, Els Fieremans, Dmitry S. Novikov, Claudia A. M. Gandini Wheeler‐Kingshott	24
14	Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy 2019 ·NeuroImage ·Ferrán Prados, Marcello Moccia, (unknown), Marios Yiannakas, Francesco Grussu, M. Jorge Cardoso, Olga Ciccarelli, Sébastien Ourselin, Frederik Barkhof, Claudia A. M. Gandini Wheeler‐Kingshott	14
15	Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms 2019 ·NeuroImage ·Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, Umesh Rudrapatna, John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalá, Cyril Charron, Sławomir Kuśmia, David E.J. Linden, Derek K. Jones, Jelle Veraart	65
16	Reduced Field-of-View Diffusion-Weighted Imaging of the Lumbosacral Enlargement: A Pilot In Vivo Study of the Healthy Spinal Cord at 3T 2016 ·PLoS ONE ·Marios Yiannakas, Francesco Grussu, (unknown), Ferrán Prados, Rebecca S. Samson, Marco Battiston, Daniel R. Altmann, Sébastien Ourselin, David H. Miller, Claudia A. M. Gandini Wheeler‐Kingshott	11
17	A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord 2016 ·Journal of Neuroscience Methods ·Francesco Grussu, Torben Schneider, Richard L. Yates, Hui Zhang, Claudia A. M. Gandini Wheeler‐Kingshott, Gabriele C. DeLuca, Daniel C. Alexander	20
18	Quantitative histological validation of NODDI MRI indices of neurite morphology in multiple sclerosis spinal cord 2015 ·UCL Discovery (University College London) ·Francesco Grussu, Torben Schneider, (unknown), Mohamed Tachrount, Carmen Tur, Jia Newcombe, (unknown), Daniel C. Alexander, (unknown), Claudia A. M. Gandini Wheeler‐Kingshott	1
19	Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo 2015 ·NeuroImage ·Francesco Grussu, Torben Schneider, Hui Zhang, Daniel C. Alexander, Claudia A. M. Gandini Wheeler‐Kingshott	90
20	Single-shell diffusion MRI NODDI with in vivo cervical cord data 2014 ·Francesco Grussu, Torben Schneider, (unknown), Daniel C. Alexander, Claudia A. M. Gandini Wheeler‐Kingshott	5

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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