Riccardo Levato: h-index, Total Citations, and Citation Map
Riccardo Levato's h-index is 45 (75 i10-index, 9,251+ total citations across 5+ publications) according to Google Scholar as of May 2026. Riccardo Levato is affiliated with University Medical Center Utrecht.
Riccardo Levato is a researcher affiliated with University Medical Center Utrecht, specializing in Regenerative Medicine, Biofabrication, Biomaterials. Their work has been cited 9,251 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Riccardo Levato's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 45
- i10-Index
- 75
- Total Citations
- 9,251
- Citing Countries
- 6
As of May 2026.
Riccardo Levato has an h-index of 45 and 9,251 total citations across 5 publications, with research cited by institutions in 6 countries.
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We've mapped 5,000 of 9,251 citations for Riccardo Levato
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Global Impact Map
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Top Cited Works
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Printability and Shape Fidelity of Bioinks in 3D Bioprinting
20201,452
Top Citing Countries
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Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established foundational criteria for bioink printability and shape fidelity, a seminal contribution that has garnered over 1,400 citations and widespread independent adoption in 3D bioprinting.
The researcher pioneered the biofabrication of tissue constructs through the 3D bioprinting of cell-laden microcarriers, establishing a foundational methodology for advanced tissue engineering.
The researcher established a critical framework for assessing bioink shape fidelity, providing essential metrics to guide material development and improve precision in 3D bioprinting applications.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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