Yonit Tsatskis

17 total papers · 970 total citations
9 papers, 722 citations indexed

About

Yonit Tsatskis is a scholar working on Molecular Biology, Cell Biology and Condensed Matter Physics. According to data from OpenAlex, Yonit Tsatskis has authored 9 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Condensed Matter Physics. Recurrent topics in Yonit Tsatskis's work include RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Yonit Tsatskis is often cited by papers focused on RNA Research and Splicing (3 papers), Ubiquitin and proteasome pathways (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Yonit Tsatskis collaborates with scholars based in Canada, United States and United Kingdom. Yonit Tsatskis's co-authors include Helen McNeill, Laura Gardano, Elizabeth Silva, Nicolas Tapon, Neha Agrawal, Pierre Léopold, Sevan Hopyan, Yu Sun, Xian Wang and Rénald Delanoue and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Yonit Tsatskis

9 papers receiving 716 citations

Author Peers

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

Author Last Decade Papers Cites
Yonit Tsatskis 363 349 125 116 71 9 722
Stéphane Rigaud 317 0.9× 327 0.9× 49 0.4× 150 1.3× 39 0.5× 11 746
Michael Smutny 642 1.8× 397 1.1× 62 0.5× 191 1.6× 28 0.4× 14 861
Vanessa Barone 381 1.0× 372 1.1× 86 0.7× 167 1.4× 142 2.0× 16 874
Justina Sanny 527 1.5× 482 1.4× 118 0.9× 92 0.8× 61 0.9× 9 767
Lawrence Sulak 612 1.7× 415 1.2× 88 0.7× 146 1.3× 39 0.5× 9 784
Charlène Guillot 430 1.2× 339 1.0× 41 0.3× 141 1.2× 26 0.4× 6 672
Graham A. Anderson 337 0.9× 661 1.9× 130 1.0× 53 0.5× 59 0.8× 6 834
Aynur Kaya-Çopur 572 1.6× 416 1.2× 115 0.9× 121 1.0× 37 0.5× 7 804
Sham Tlili 495 1.4× 272 0.8× 74 0.6× 239 2.1× 43 0.6× 25 703
Akankshi Munjal 504 1.4× 271 0.8× 99 0.8× 128 1.1× 17 0.2× 7 644

Countries citing papers authored by Yonit Tsatskis

Since Specialization
Citations

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

Fields of papers citing papers by Yonit Tsatskis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonit Tsatskis

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