Francesca Sensi

548 total citations
20 papers, 401 citations indexed

About

Francesca Sensi is a scholar working on Oncology, Surgery and Biomedical Engineering. According to data from OpenAlex, Francesca Sensi has authored 20 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Francesca Sensi's work include Tissue Engineering and Regenerative Medicine (7 papers), Cancer Cells and Metastasis (6 papers) and 3D Printing in Biomedical Research (6 papers). Francesca Sensi is often cited by papers focused on Tissue Engineering and Regenerative Medicine (7 papers), Cancer Cells and Metastasis (6 papers) and 3D Printing in Biomedical Research (6 papers). Francesca Sensi collaborates with scholars based in Italy, United States and United Kingdom. Francesca Sensi's co-authors include Marco Agostini, Edoardo D’Angelo, Salvatore Pucciarelli, Matteo Fassan, Luca Urbani, Gaya Spolverato, Martina Piccoli, Enzo Mammano, Pierluigi Pilati and Massimo Rugge and has published in prestigious journals such as PLoS ONE, Endocrinology and International Journal of Cancer.

In The Last Decade

Francesca Sensi

18 papers receiving 400 citations

Peers

Francesca Sensi
Comparison fields: 5 of 74
  • Oncology 163
  • Biomedical Engineering 141
  • Surgery 118
  • Molecular Biology 87
  • Biomaterials 61
Replace Fenghua Zhao with:
Fenghua Zhao China
Jaimeson Veldhuizen United States
Hongtao Sun China
Hongwei Cheng China
Yunge Gao China
Beatriz de Lucas Spain
Meizhu Zheng China
Francine Hehn de Oliveira Brazil
Hu Guo China
Tania Di Raimo Italy
Fenghua Zhao China View profile →
Citations per field, relative to Francesca Sensi
Francesca Sensi · 1×
Citations per year, relative to Francesca Sensi
Francesca Sensi · 1×

Countries citing papers authored by Francesca Sensi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Sensi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Sensi

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Sensi. A scholar is included among the top collaborators of Francesca Sensi 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 Francesca Sensi. Francesca Sensi 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 0
2 1
3 0
4 3
5 19
6 2
7 19
8 1
9 5
10 16
11 10
12 36
13 50
14 20
15 28
16 19
17 16
18 33
19 64
20 59

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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