Matteo Fanuli

12 total papers · 644 total citations
5 papers, 492 citations indexed

About

Matteo Fanuli is a scholar working on Epidemiology, Pathology and Forensic Medicine and Periodontics. According to data from OpenAlex, Matteo Fanuli has authored 5 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Pathology and Forensic Medicine and 2 papers in Periodontics. Recurrent topics in Matteo Fanuli's work include Cancer Diagnosis and Treatment (1 paper), Autoimmune Bullous Skin Diseases (1 paper) and Tumors and Oncological Cases (1 paper). Matteo Fanuli is often cited by papers focused on Cancer Diagnosis and Treatment (1 paper), Autoimmune Bullous Skin Diseases (1 paper) and Tumors and Oncological Cases (1 paper). Matteo Fanuli collaborates with scholars based in Italy. Matteo Fanuli's co-authors include Giampietro Farronato, Lorenzo Mortara, Antonino Bruno, Barbara Bassani, Elisabetta Gini, Denisa Baci, Manuela Rizzi, Mario Migliario, Filippo Renò and Luca Viganò and has published in prestigious journals such as Journal of Immunology Research, Lasers in Medical Science and MDPI (MDPI AG).

In The Last Decade

Matteo Fanuli

5 papers receiving 480 citations

Hit Papers

Macrophage Polarization i... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Matteo Fanuli 201 141 86 54 54 5 492
Liduine A. van den Bersselaar 175 0.9× 205 1.5× 44 0.5× 40 0.7× 45 0.8× 8 511
William P. Arend 327 1.6× 111 0.8× 39 0.5× 54 1.0× 33 0.6× 10 547
H. Buerki 207 1.0× 130 0.9× 52 0.6× 38 0.7× 37 0.7× 10 481
Ricarda Cortés-Vieyra 179 0.9× 155 1.1× 17 0.2× 35 0.6× 38 0.7× 10 413
Seiya Miyajima 50 0.2× 110 0.8× 76 0.9× 32 0.6× 72 1.3× 9 484
Kazuhiko Yamamoto 228 1.1× 90 0.6× 46 0.5× 26 0.5× 109 2.0× 8 472
Masato Tada 228 1.1× 120 0.9× 63 0.7× 72 1.3× 32 0.6× 4 466
Guozhang Feng 197 1.0× 138 1.0× 38 0.4× 31 0.6× 18 0.3× 5 476
Yanlai Lai 76 0.4× 163 1.2× 25 0.3× 34 0.6× 75 1.4× 8 456
Marvin S. Hausman 228 1.1× 86 0.6× 35 0.4× 44 0.8× 31 0.6× 8 414

Countries citing papers authored by Matteo Fanuli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Fanuli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Fanuli

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

All Works

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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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