Massimo Marrelli

3.6k total citations
59 papers, 2.6k citations indexed

About

Massimo Marrelli is a scholar working on Surgery, Urology and Oral Surgery. According to data from OpenAlex, Massimo Marrelli has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 16 papers in Urology and 16 papers in Oral Surgery. Recurrent topics in Massimo Marrelli's work include Mesenchymal stem cell research (14 papers), Periodontal Regeneration and Treatments (14 papers) and Tissue Engineering and Regenerative Medicine (13 papers). Massimo Marrelli is often cited by papers focused on Mesenchymal stem cell research (14 papers), Periodontal Regeneration and Treatments (14 papers) and Tissue Engineering and Regenerative Medicine (13 papers). Massimo Marrelli collaborates with scholars based in Italy, United Kingdom and Russia. Massimo Marrelli's co-authors include Marco Tatullo, Francesco Paduano, Francesco Inchingolo, Gianna Dipalma, Kevin M. Shakesheff, Lisa J. White, Angelo Michele Inchingolo, Bruna Codispoti, Alessio Danilo Inchingolo and Francesca Palmieri and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Massimo Marrelli

59 papers receiving 2.6k citations

Peers

Massimo Marrelli
Comparison fields: 5 of 146
  • Oral Surgery 730
  • Urology 695
  • Genetics 680
  • Surgery 621
  • Molecular Biology 493
Replace Homayoun H. Zadeh with:
Homayoun H. Zadeh United States
Karim M. Fawzy El‐Sayed Germany
Weihua Guo China
Stefano Tetè Italy
José M. Moraleda Spain
Xiaohui Rausch‐Fan Austria
Sergio Caputi Italy
Takanori Iwata Japan
Márcia Martins Marques Brazil
Miron Weinreb Israel
Homayoun H. Zadeh United States View profile →
Citations per field, relative to Massimo Marrelli
Massimo Marrelli · 1×
Citations per year, relative to Massimo Marrelli
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Countries citing papers authored by Massimo Marrelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Marrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Marrelli

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 102
2 80
3 48
4 117
5 48
6 45
7 6
8 66
9 55
10 93
11 79
12 4
13 127
14
Trial with Platelet-Rich Fibrin and Bio-Oss used as grafting materials in the treatment of the severe maxillar bone atrophy: clinical and radiological evaluations.
76
15 23
16 14
17 2
18 27
19 35
20 8

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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