Kobi J. Simpson-Lavy

30 total papers · 429 total citations
19 papers, 310 citations indexed

About

Kobi J. Simpson-Lavy is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kobi J. Simpson-Lavy has authored 19 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Kobi J. Simpson-Lavy's work include Ubiquitin and proteasome pathways (8 papers), Fungal and yeast genetics research (8 papers) and Microtubule and mitosis dynamics (6 papers). Kobi J. Simpson-Lavy is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Fungal and yeast genetics research (8 papers) and Microtubule and mitosis dynamics (6 papers). Kobi J. Simpson-Lavy collaborates with scholars based in Israel, United States and Ireland. Kobi J. Simpson-Lavy's co-authors include Martin Kupiec, Mark Johnston, Michael Brandeis, Alex Bronstein, Drora Zenvirth, Avinash K. Persaud, Ilan Attali, Reuven Wiener, Yifat S. Oren and Khatereh Motamedchaboki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Kobi J. Simpson-Lavy

19 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Kobi J. Simpson-Lavy 280 72 56 51 26 19 310
Sandra Claret 256 0.9× 149 2.1× 22 0.4× 48 0.9× 9 0.3× 16 343
Viviane A. Andrade 164 0.6× 40 0.6× 42 0.8× 38 0.7× 33 1.3× 13 343
Piet van Egmond 233 0.8× 44 0.6× 54 1.0× 108 2.1× 11 0.4× 14 312
Xavier Robellet 289 1.0× 51 0.7× 40 0.7× 91 1.8× 12 0.5× 12 334
Juliana Helena Costa Smetana 216 0.8× 48 0.7× 68 1.2× 94 1.8× 24 0.9× 18 330
Peter W. Bircham 203 0.7× 98 1.4× 14 0.3× 39 0.8× 15 0.6× 13 323
Xenia Peñate 223 0.8× 90 1.3× 12 0.2× 24 0.5× 15 0.6× 16 298
Amangeldy Bissenbaev 225 0.8× 33 0.5× 12 0.2× 53 1.0× 26 1.0× 22 330
Ekaterina A. Smirnova 214 0.8× 27 0.4× 29 0.5× 28 0.5× 7 0.3× 19 304
Yuriy R. Boretsky 218 0.8× 31 0.4× 58 1.0× 50 1.0× 6 0.2× 22 316

Countries citing papers authored by Kobi J. Simpson-Lavy

Since Specialization
Citations

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

Fields of papers citing papers by Kobi J. Simpson-Lavy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kobi J. Simpson-Lavy. 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 Kobi J. Simpson-Lavy. The network helps show where Kobi J. Simpson-Lavy may publish in the future.

Co-authorship network of co-authors of Kobi J. Simpson-Lavy

This figure shows the co-authorship network connecting the top 25 collaborators of Kobi J. Simpson-Lavy. A scholar is included among the top collaborators of Kobi J. Simpson-Lavy 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 Kobi J. Simpson-Lavy. Kobi J. Simpson-Lavy 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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