Matteo Guzzini

900 citations
50 papers · 575 · h-index 15

Impact in

Papers in

    • Orthopedic Surgery and Rehabilitation 19
    • Knee injuries and reconstruction techniques 6
    • Shoulder Injury and Treatment 4
    • Surgical Sutures and Adhesives 3
    • Elbow and Forearm Trauma Treatment 8

Matteo Guzzini

42 papers receiving 562 citations

Peers

Matteo Guzzini
Comparison fields: 5 of 53
  • Orthopedics and Sports Medicine 119
  • Rehabilitation 78
  • Surgery 404
  • Epidemiology 99
  • Cellular and Molecular Neuroscience 17
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Citations per field
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Citations per year

Countries citing papers authored by Matteo Guzzini

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Guzzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Guzzini, 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 Guzzini Line = papers co-authored together Matteo Guzzini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201934
3 201634
4 200330
5 201729
6 201626
7 201726
8 201725
9 201619
10 200919
11 201618
12 201717
13 201717
14 201716
15 201716
16 202314
17 201611
18 202211
19 201611
20 201910

About Matteo Guzzini

Matteo Guzzini is a scholar working on Surgery, Rehabilitation, Epidemiology, Orthopedics and Sports Medicine and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 575 indexed citations. Recurring topics across this work include Orthopedic Surgery and Rehabilitation (19 papers), Bone fractures and treatments (8 papers), Elbow and Forearm Trauma Treatment (8 papers), Knee injuries and reconstruction techniques (6 papers), Shoulder Injury and Treatment (4 papers), Surgical Sutures and Adhesives (3 papers), Tendon Structure and Treatment (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (119 citations), Rehabilitation (78 citations), Surgery (404 citations), Epidemiology (99 citations) and Cellular and Molecular Neuroscience (17 citations). Matteo Guzzini has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Andrea Ferretti, Riccardo Maria Lanzetti, Dario Perugia, Daniele Mazza, Domenico Lupariello, Marco Guidi, Cristina Dominedò, Angelo De Carli, Edoardo Monaco and Mattia Fabbri. Their work appears in journals such as Injury, International Orthopaedics, Journal of Orthopaedics and Traumatology, European Journal of Orthopaedic Surgery & Traumatology and Muscles Ligaments and Tendons Journal.

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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