Matteo Figini

1.1k citations
42 papers · 719 · h-index 15

Impact in

Papers in

Matteo Figini

39 papers receiving 710 citations

Peers

Matteo Figini
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 226
  • Genetics 86
  • Biotechnology 69
  • Psychiatry and Mental health 97
  • Immunology 135
Replace Pik‐to Cheung with:
Pik‐to Cheung Hong Kong
Esteban Velarde United States
Gene R. DiResta United States
Jean-François Mayol France
Manuel Fischer Germany
Hongyan Chen China
Young-Soo Park Japan
Judy Drazba United States
Hilary P. Benton United States
Wensheng Wang China
Matteo Figini relative to Pik‐to Cheung Hong Kong Pik‐to Cheung's profile →
Citations per field
00.5×8.6×
Pik‐to Cheung · 1×
Citations per year

Countries citing papers authored by Matteo Figini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Figini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Figini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matteo Figini Line = papers co-authored together Matteo Figini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dendritic cells based immunotherapy.
201792
2 201473
3 201560
4 201451
5 201850
6 201840
7 201733
8 201929
9 201728
10 201825
11 201424
12 201718
13 202316
14
Multi-parameter evaluation of lumbar intervertebral disc degeneration using quantitative magnetic resonance imaging techniques.
201816
15 201914
16 202114
17 202013
18 201413
19 202311
20
Mouse dendritic cell migration in abdominal lymph nodes by intraperitoneal administration.
20189

About Matteo Figini

Matteo Figini is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering, Biotechnology and Immunology, having authored 42 papers that have together received 719 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (9 papers), Microbial Inactivation Methods (8 papers), MRI in cancer diagnosis (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Glioma Diagnosis and Treatment (5 papers), Epilepsy research and treatment (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (226 citations), Genetics (86 citations), Biotechnology (69 citations), Psychiatry and Mental health (97 citations) and Immunology (135 citations). Matteo Figini has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zhuoli Zhang, Junjie Shangguan, Chong Sun, Liang Pan, Ileana Zucca, Na Shang, Quanhong Ma, Enzo Errichetti, Giuseppe Stinco and Alessandro Scotti. Their work appears in journals such as Neuroradiology, Epilepsia, Cancers, Radiology and Journal of Immunological Methods.

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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