Federico Ferro

1.4k citations
35 papers · 1.0k indexed · h-index 15
Topics
Mesenchymal stem cell research (7 papers)Tissue Engineering and Regenerative Medicine (4 papers)Bone Tissue Engineering Materials (4 papers)

In The Last Decade

Federico Ferro

35 papers receiving 987 citations

Peers

Federico Ferro
Comparison fields: 5 of 103
  • Molecular Biology 337
  • Surgery 276
  • Genetics 235
  • Rheumatology 145
  • Biomedical Engineering 143
Replace Kazumasa Nakao with:
Kazumasa Nakao Japan
Kunio Ichijima Japan
Rika Yasuhara Japan
Louisa Titus United States
Dawei Liu China
Estefanía Nova‐Lamperti Chile
Paula Hoff Germany
Anne Poliard France
Stefan Recknagel Germany
Masae Kitagawa Japan
Federico Ferro relative to Kazumasa Nakao Japan Kazumasa Nakao's profile →
Citations per field
00.5×3.3×
Kazumasa Nakao · 1×
Citations per year

Countries citing papers authored by Federico Ferro

Since Specialization
Citations

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

Fields of papers citing papers by Federico Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Ferro

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Ferro. A scholar is included among the top collaborators of Federico Ferro 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 Federico Ferro. Federico Ferro 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
#WorkIndexed citations
1 7
2 6
3 9
4 6
5 12
6 22
7 87
8 64
9 149
10 54
11 4
12 36
13 50
14 35
15 14
16 75
17
[Clinical and experimental observations on the effect of the preparation U 9189 (tricyano-amino-propene)].
1
18 20
19 4
20
Clinical and anatomical aspects of 53 cases of metastases in the central nervous system.
1

About Federico Ferro

Federico Ferro is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Genetics (235 citations), Urology (101 citations) and Periodontics (46 citations). Federico Ferro has collaborated with scholars based in Italy, United States and Ireland. Frequent co-authors include Renza Spelat, Chelsea S. Bahney, Theodore Miclau, Ralph Marcucio, Antonio Paolo Beltrami, Francesco Curcio, Frank Yang, Wenhan Chang, Diane Hu and Gianfranco Sinagra. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

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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