Gaia Ferracci

701 citations
13 papers · 559 indexed · 1 hit paper · h-index 8

Gaia Ferracci

13 papers receiving 554 citations

Hit Papers

Gelatin methacryloyl and its hydrogels with an exceptiona...3522019202620212023100200300

Peers

Gaia Ferracci
Comparison fields: 5 of 84
  • Molecular Medicine 63
  • Biomaterials 133
  • Automotive Engineering 114
  • Biomedical Engineering 369
  • Pharmaceutical Science 28
Replace Hitomi Shirahama with:
Hitomi Shirahama Singapore
Afsoon Fallahi United States
Supachai Reakasame Germany
Jennika Karvinen Finland
Laura Koivusalo Finland
Sultan Khetani Canada
Liming Lian United States
Zhizhong Shen China
Nehar Celikkin Poland
Ahmad Rezaei Kolahchi Canada
Gaia Ferracci relative to Hitomi Shirahama Singapore Hitomi Shirahama's profile →
Citations per field
00.5×1.5×
Hitomi Shirahama · 1×
Citations per year

Countries citing papers authored by Gaia Ferracci

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Ferracci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20212
2 202126
3 202011
4 202018
5 202044
6 20201
7
Gelatin methacryloyl and its hydrogels with an exceptional degree of controllability and batch-to-batch consistencybreakdown →
2019352
8 201921
9 20197
10 201834
11 20181
12 201838
13 20174

About Gaia Ferracci

Gaia Ferracci is a scholar working on Biomaterials, Automotive Engineering and Biomedical Engineering, having authored 13 papers that have together received 559 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Plant Reproductive Biology (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Additive Manufacturing and 3D Printing Technologies (3 papers), Proteins in Food Systems (2 papers), Biocrusts and Microbial Ecology (1 paper), Bone Tissue Engineering Materials (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Molecular Medicine (63 citations), Biomaterials (133 citations) and Automotive Engineering (114 citations). Gaia Ferracci has collaborated with scholars based in Singapore, China and South Korea. Frequent co-authors include Nam‐Joon Cho, Bae Hoon Lee, Mengxiang Zhu, Jing Zheng, Yingying Wang, Mohammed Shahrudin Ibrahim, Michael G. Potroz, Lili Wang, Joshua A. Jackman and Ee‐Lin Tan. Their work appears in journals such as Advanced Functional Materials, Macromolecular Rapid Communications, Scientific Reports, International Journal of Biological Macromolecules and Applied Materials Today.

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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