Tal Dvir

10.9k citations
72 papers · 7.8k indexed · 6 hit papers · h-index 42

Tal Dvir

72 papers receiving 7.8k citations

Hit Papers

3D Printing of Personalized Thick and...80320102026201520202505007501000

Peers

Tal Dvir
Comparison fields: 5 of 154
  • Biomaterials 3.5k
  • Biomedical Engineering 5.1k
  • Automotive Engineering 875
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Medicine 301
Replace Lichun Lu with:
Lichun Lu United States
Samad Ahadian United States
Mehdi Nikkhah United States
Jeffrey T. Borenstein United States
Lijie Grace Zhang United States
Ling Wang China
Xin Zhao China
Mohsen Akbari Canada
Guillermo A. Ameer United States
Ali Khademhosseini United States
Tal Dvir relative to Lichun Lu United States Lichun Lu's profile →
Citations per field
00.5×1.7×
Lichun Lu · 1×
Citations per year

Countries citing papers authored by Tal Dvir

Since Specialization
Citations

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

Fields of papers citing papers by Tal Dvir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202423
3 202310
4 202216
5 202162
6 202023
7 202045
8 20183
9 201726
10 201543
11 201599
12 201432
13 201425
14 201399
15 201282
16
Macroporous Nanowire Nanoelectronic Scaffolds for Synthetic Tissuesbreakdown →
2012508
17
Nanotechnological strategies for engineering complex tissuesbreakdown →
20101075
18 201066
19 201070
20 200816

About Tal Dvir

Tal Dvir is a scholar working on Biomaterials, Biomedical Engineering and Surgery, having authored 72 papers that have together received 7.8k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (45 papers), Electrospun Nanofibers in Biomedical Applications (42 papers), 3D Printing in Biomedical Research (27 papers), Neuroscience and Neural Engineering (10 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Additive Manufacturing and 3D Printing Technologies (8 papers), Graphene and Nanomaterials Applications (7 papers) and Bone Tissue Engineering Materials (6 papers). The work is most often cited by research in Biomaterials (3.5k citations), Biomedical Engineering (5.1k citations) and Automotive Engineering (875 citations). Tal Dvir has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Daniel S. Kohane, Assaf Shapira, Ron Feiner, Brian P. Timko, Róbert Langer, Sharon Fleischer, Idan Gal, Nadav Noor, Michal Shevach and Reuven Edri. Their work appears in journals such as Advanced Materials, Nano Letters, Advanced Science, Tissue Engineering and Biomedical 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.

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