Dan Gazit

192 papers and 8.0k indexed citations i.

About

Dan Gazit is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Dan Gazit has authored 192 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 44 papers in Biomedical Engineering and 40 papers in Genetics. Recurrent topics in Dan Gazit’s work include Mesenchymal stem cell research (40 papers), Bone Tissue Engineering Materials (22 papers) and Virus-based gene therapy research (18 papers). Dan Gazit is often cited by papers focused on Mesenchymal stem cell research (40 papers), Bone Tissue Engineering Materials (22 papers) and Virus-based gene therapy research (18 papers). Dan Gazit collaborates with scholars based in Israel, United States and Switzerland. Dan Gazit's co-authors include Gadi Pelled, Zulma Gazit, Yoram Zilberman, Gadi Turgeman, Dmitriy Sheyn, Ilan Kallai, A. J. Kahn, Itai Bab, Shuanhu Zhou and Wafa Tawackoli and has published in prestigious journals such as Science, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Dan Gazit i

Fields of papers citing papers by Dan Gazit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Gazit

Since Specialization
Citations

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

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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2025