Dino J. Ravnic
- Automotive Engineering top 5%
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research 20
- Bone Tissue Engineering Materials 5
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 12
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 5
- Surgery top 10%
- Tissue Engineering and Regenerative Medicine 8
-
- Angiogenesis and VEGF in Cancer 6
-
- Barrier Structure and Function Studies 5
- Co-authors
- Ashley N. Leberfingerİbrahim T. ÖzbolatSrinivas V. KoduruYang WuSteven J. MentzerHarold T. HussAman DhawanAkira Tsuda
- Journals
- The Anatomical Record (4 papers)Microvascular Research (4 papers)Advanced Functional Materials (4 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Dino J. Ravnic
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 127
- Automotive Engineering 280
- Biomedical Engineering 698
- Biomaterials 199
- Cancer Research 229
- Surgery 452
Countries citing papers authored by Dino J. Ravnic
This map shows the geographic impact of Dino J. Ravnic'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 Dino J. Ravnic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dino J. Ravnic more than expected).
Fields of papers citing papers by Dino J. Ravnic
This network shows the impact of papers produced by Dino J. Ravnic. 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 Dino J. Ravnic. The network helps show where Dino J. Ravnic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dino J. Ravnic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 42 | |
| 10 | 2018 | 12 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 84 | |
| 13 | 2010 | 48 | |
| 14 | 2008 | 16 | |
| 15 | 2007 | 14 | |
| 16 | 2006 | 1 | |
| 17 | 2006 | 30 | |
| 18 | 2006 | 22 | |
| 19 | 2006 | 36 | |
| 20 | 2005 | 31 |
About Dino J. Ravnic
Dino J. Ravnic is a scholar working on Biomaterials, Neurology, Biomedical Engineering, Immunology and Allergy and Urology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (20 papers), Electrospun Nanofibers in Biomedical Applications (12 papers), Tissue Engineering and Regenerative Medicine (8 papers), Angiogenesis and VEGF in Cancer (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), Bone Tissue Engineering Materials (5 papers) and Barrier Structure and Function Studies (5 papers). The work is most often cited by research in Automotive Engineering (280 citations), Biomedical Engineering (698 citations), Biomaterials (199 citations), Cancer Research (229 citations) and Surgery (452 citations). Dino J. Ravnic has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ashley N. Leberfinger, İbrahim T. Özbolat, Srinivas V. Koduru, Yang Wu, Steven J. Mentzer, Harold T. Huss, Aman Dhawan, Akira Tsuda, Moritz A. Konerding and Donald R. Mackay. Their work appears in journals such as The Anatomical Record, Microvascular Research, Advanced Functional Materials, Journal of Surgical Research and Advanced Healthcare Materials.
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.