Shmuel Shen

16 total papers · 1.2k total citations
12 papers, 569 citations indexed

About

Shmuel Shen is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Shmuel Shen has authored 12 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Shmuel Shen's work include Plant nutrient uptake and metabolism (7 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Reproductive Biology (3 papers). Shmuel Shen is often cited by papers focused on Plant nutrient uptake and metabolism (7 papers), Postharvest Quality and Shelf Life Management (4 papers) and Plant Reproductive Biology (3 papers). Shmuel Shen collaborates with scholars based in Israel. Shmuel Shen's co-authors include Rachel Shaked, Nurit Firon, Etan Pressman, Arthur A. Schaffer, Ron Ophir, Marina Petreikov, Ilan Levin, Moshe Bar, Yelena Yeselson and Yosef Burger and has published in prestigious journals such as Journal of Experimental Botany, Planta and Physiologia Plantarum.

In The Last Decade

Shmuel Shen

11 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Shmuel Shen 504 294 62 33 31 12 569
Stefan Reuscher 542 1.1× 245 0.8× 71 1.1× 21 0.6× 15 0.5× 13 617
Yuanhao Ding 583 1.2× 414 1.4× 27 0.4× 42 1.3× 21 0.7× 24 691
Fausto Rodríguez-Zapata 472 0.9× 133 0.5× 48 0.8× 23 0.7× 17 0.5× 8 529
Yveline Pailles 448 0.9× 123 0.4× 59 1.0× 21 0.6× 19 0.6× 8 500
Xingbei Liu 529 1.0× 251 0.9× 30 0.5× 13 0.4× 36 1.2× 14 638
Jacques Escoute 491 1.0× 238 0.8× 22 0.4× 41 1.2× 55 1.8× 20 607
Xiaozhen Yang 453 0.9× 256 0.9× 45 0.7× 21 0.6× 28 0.9× 17 602
Satoshi Matsuo 459 0.9× 293 1.0× 36 0.6× 19 0.6× 16 0.5× 19 521
Zhongxia Luo 393 0.8× 276 0.9× 92 1.5× 36 1.1× 55 1.8× 15 602
Luqin Guo 419 0.8× 252 0.9× 98 1.6× 12 0.4× 21 0.7× 16 502

Countries citing papers authored by Shmuel Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shmuel Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shmuel Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shmuel Shen. A scholar is included among the top collaborators of Shmuel Shen 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 Shmuel Shen. Shmuel Shen 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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