Netta Vidavsky

26 total papers · 929 total citations
19 papers, 699 citations indexed

About

Netta Vidavsky is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Netta Vidavsky has authored 19 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 6 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Netta Vidavsky's work include Calcium Carbonate Crystallization and Inhibition (5 papers), Lipid Membrane Structure and Behavior (3 papers) and Bone Tissue Engineering Materials (3 papers). Netta Vidavsky is often cited by papers focused on Calcium Carbonate Crystallization and Inhibition (5 papers), Lipid Membrane Structure and Behavior (3 papers) and Bone Tissue Engineering Materials (3 papers). Netta Vidavsky collaborates with scholars based in Israel, United States and Germany. Netta Vidavsky's co-authors include Lia Addadi, Steve Weiner, Lara A. Estroff, Jennie A. M. R. Kunitake, David BenEzra, Muki Shpigel, Yoseph Addadi, Andreas Schertel, Aaron E. Chiou and Eyal Shimoni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Biomaterials.

In The Last Decade

Netta Vidavsky

18 papers receiving 698 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Netta Vidavsky 293 180 151 113 75 19 699
Tzu-En Hua 127 0.4× 135 0.8× 152 1.0× 224 2.0× 149 2.0× 15 891
Sanja Sviben 216 0.7× 86 0.5× 145 1.0× 53 0.5× 49 0.7× 18 628
T. Arad 317 1.1× 204 1.1× 395 2.6× 33 0.3× 109 1.5× 19 888
Melanie A. Kimm 59 0.2× 158 0.9× 405 2.7× 23 0.2× 45 0.6× 47 842
Roy Ziblat 237 0.8× 320 1.8× 449 3.0× 31 0.3× 100 1.3× 16 881
Elena Rosseeva 208 0.7× 73 0.4× 209 1.4× 32 0.3× 224 3.0× 19 729
Jong Seto 515 1.8× 40 0.2× 215 1.4× 172 1.5× 158 2.1× 21 753
Alexander DuChesne 185 0.6× 61 0.3× 154 1.0× 42 0.4× 121 1.6× 9 693
Julia C. Marxen 440 1.5× 46 0.3× 215 1.4× 185 1.6× 44 0.6× 16 629
Stephan Wenzl 369 1.3× 433 2.4× 36 0.2× 113 1.0× 73 1.0× 21 761

Countries citing papers authored by Netta Vidavsky

Since Specialization
Citations

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

Fields of papers citing papers by Netta Vidavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Netta Vidavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Netta Vidavsky. A scholar is included among the top collaborators of Netta Vidavsky 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 Netta Vidavsky. Netta Vidavsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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