Reut Peer

13 papers and 322 indexed citations i.

About

Reut Peer is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Reut Peer has authored 13 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Reut Peer’s work include Phytochemistry and biological activities of Ficus species (7 papers), Plant Physiology and Cultivation Studies (5 papers) and Plant tissue culture and regeneration (3 papers). Reut Peer is often cited by papers focused on Phytochemistry and biological activities of Ficus species (7 papers), Plant Physiology and Cultivation Studies (5 papers) and Plant tissue culture and regeneration (3 papers). Reut Peer collaborates with scholars based in Israel, The Netherlands and China. Reut Peer's co-authors include B. Schippers, Moshe A. Flaishman, Amit Gal‐On, Moshe Lapidot, Tzvi Tzfira, Alexander Vainstein, Zohar Freiman, Yardena Dahan, Lyudmila Shlizerman and Avi Sadka and has published in prestigious journals such as Journal of Experimental Botany, Frontiers in Plant Science and Planta.

In The Last Decade

Co-authorship network of co-authors of Reut Peer i

Fields of papers citing papers by Reut Peer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Reut Peer

Since Specialization
Citations

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