Giacomo Sferruzza

607 total citations · 1 hit paper
19 papers, 289 citations indexed

About

Giacomo Sferruzza is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Giacomo Sferruzza has authored 19 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Giacomo Sferruzza's work include Multiple Sclerosis Research Studies (4 papers), Glioma Diagnosis and Treatment (4 papers) and COVID-19 epidemiological studies (2 papers). Giacomo Sferruzza is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Glioma Diagnosis and Treatment (4 papers) and COVID-19 epidemiological studies (2 papers). Giacomo Sferruzza collaborates with scholars based in Italy, United States and Japan. Giacomo Sferruzza's co-authors include Luojia Yang, Sidi Chen, Liqun Zhou, Massimo Filippi, Linda Ottoboni, Yuri Falzone, Filippo Martinelli Boneschi, Erica Butti, Marco Bacigaluppi and Gianvito Martino and has published in prestigious journals such as Nature Biotechnology, Brain Research and Journal of Neurology.

In The Last Decade

Giacomo Sferruzza

17 papers receiving 286 citations

Hit Papers

CAR-T and CAR-NK as cellular cancer immunotherapy for sol... 2024 2026 2025 2024 40 80 120

Peers

Giacomo Sferruzza
Caixia Li China
Emily Nordquist United States
Eunice Kim United States
Oliver Surriga United States
Huixian Hong United States
Peiwen Kuo United States
Ashley Aaroe United States
Winnie Yao United States
Caixia Li China
Giacomo Sferruzza
Citations per year, relative to Giacomo Sferruzza Giacomo Sferruzza (= 1×) peers Caixia Li

Countries citing papers authored by Giacomo Sferruzza

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Sferruzza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Sferruzza

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

All Works

19 of 19 papers shown
1.
Sferruzza, Giacomo, et al.. (2025). Assessing time-trend bias in glioblastoma prognosis over 2 decades of clinical trials. Neuro-Oncology. 27(11). 2991–2999.
2.
Sferruzza, Giacomo, et al.. (2024). Reassessing the efficacy of bevacizumab in newly diagnosed glioblastoma: A systematic review and external pseudodata-based analysis. Neuro-Oncology Advances. 6(1). vdad174–vdad174. 4 indexed citations
3.
Sferruzza, Giacomo, Fedele Dono, Giacomo Evangelista, et al.. (2024). Correction to: A systematic review of immunotherapy in high‑grade glioma: learning from the past to shape future perspectives. Neurological Sciences. 45(6). 2945–2945. 1 indexed citations
4.
Sferruzza, Giacomo, et al.. (2024). CAR-T and CAR-NK as cellular cancer immunotherapy for solid tumors. Cellular and Molecular Immunology. 21(10). 1089–1108. 145 indexed citations breakdown →
5.
Renauer, Paul, Giacomo Sferruzza, Luojia Yang, et al.. (2024). In vivo AAV–SB-CRISPR screens of tumor-infiltrating primary NK cells identify genetic checkpoints of CAR-NK therapy. Nature Biotechnology. 43(5). 752–761. 26 indexed citations
6.
Sferruzza, Giacomo, Fedele Dono, Giacomo Evangelista, et al.. (2024). A systematic review of immunotherapy in high-grade glioma: learning from the past to shape future perspectives. Neurological Sciences. 45(6). 2561–2578. 11 indexed citations
7.
Sferruzza, Giacomo, Yuri Falzone, Luca Leonardi, et al.. (2024). Muscle hypertrophy following acquired neurogenic injury: systematic review and analysis of existing literature. Annals of Clinical and Translational Neurology. 11(8). 2123–2137.
8.
Sferruzza, Giacomo, Laura Pozzi, Federica Agosta, et al.. (2023). Unveiling the SOD1-mediated ALS phenotype: insights from a comprehensive meta-analysis. Journal of Neurology. 271(3). 1342–1354. 6 indexed citations
9.
Pieri, Valentina, Rosina Paterra, Giacomo Sferruzza, et al.. (2023). CSF-based liquid biopsy pointing to a diagnosis of diffuse glioma in a patient with supposed neurodegenerative disorder. Neurological Sciences. 44(9). 3271–3277. 3 indexed citations
10.
Sferruzza, Giacomo, Ferdinando Clarelli, Elisabetta Mascia, et al.. (2022). Transcriptional Effects of Fingolimod Treatment on Peripheral T Cells in Relapsing Remitting Multiple Sclerosis Patients. Pharmacogenomics. 23(3). 161–171. 1 indexed citations
11.
Falzone, Yuri, Giacomo Sferruzza, Tommaso Russo, et al.. (2022). Evaluation of the combined effect of mobility and seasonality on the COVID-19 pandemic: a Lombardy-based study.. PubMed. 93(4). e2022212–e2022212. 5 indexed citations
12.
Sferruzza, Giacomo, Ferdinando Clarelli, Elisabetta Mascia, et al.. (2021). Transcriptomic Analysis of Peripheral Monocytes upon Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients. Molecular Neurobiology. 58(10). 4816–4827. 9 indexed citations
13.
Sferruzza, Giacomo, Teresa Calimeri, Sara Steffanoni, et al.. (2021). Quantitative muscle mass biomarkers are independent prognosis factors in primary central nervous system lymphoma: The role of L3-skeletal muscle index and temporal muscle thickness. European Journal of Radiology. 143. 109945–109945. 19 indexed citations
14.
Falzone, Yuri, et al.. (2021). Evaluation of the Combined Effect of Mobility and Seasonality on the COVID-19 Pandemic: A Lombardy-Based Study. SSRN Electronic Journal. 1 indexed citations
15.
Sferruzza, Giacomo, Andrea Citterio, Paolo Vezzulli, et al.. (2021). U-Fiber Leukoencephalopathy Due to a Novel Mutation in the TACO1 Gene. Neurology Genetics. 7(2). e573–e573. 10 indexed citations
16.
Sferruzza, Giacomo, et al.. (2021). Neurofilament light chain as a biological marker for amyotrophic lateral sclerosis: a meta-analysis study. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 23(5-6). 446–457. 10 indexed citations
17.
Bacigaluppi, Marco, Giacomo Sferruzza, Erica Butti, Linda Ottoboni, & Gianvito Martino. (2019). Endogenous neural precursor cells in health and disease. Brain Research. 1730. 146619–146619. 17 indexed citations
18.
Esposito, Federica, Laura Ferrè, Ferdinando Clarelli, et al.. (2018). Effectiveness and baseline factors associated to fingolimod response in a real-world study on multiple sclerosis patients. Journal of Neurology. 265(4). 896–905. 11 indexed citations
19.
Ferrè, Laura, Ferdinando Clarelli, Giacomo Sferruzza, et al.. (2018). Basal vitamin D levels and disease activity in multiple sclerosis patients treated with fingolimod. Neurological Sciences. 39(8). 1467–1470. 10 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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