Shahar Sukenik

115 total papers · 2.1k total citations
46 papers, 1.3k citations indexed

About

Shahar Sukenik is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Shahar Sukenik has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Materials Chemistry and 10 papers in Spectroscopy. Recurrent topics in Shahar Sukenik's work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (11 papers) and Tardigrade Biology and Ecology (7 papers). Shahar Sukenik is often cited by papers focused on Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (11 papers) and Tardigrade Biology and Ecology (7 papers). Shahar Sukenik collaborates with scholars based in United States, Israel and United Kingdom. Shahar Sukenik's co-authors include Martin Gruebele, Daniel Harries, Eduardo Flores, Alex S. Holehouse, Jennifer Lippincott‐Schwartz, Danfeng Cai, Zhe Liu, Natalie Porat‐Shliom, Daniel Feliciano and Peng Dong and has published in prestigious journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

Shahar Sukenik

45 papers receiving 1.3k citations

Hit Papers

Phase separation of YAP r... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Shahar Sukenik 993 227 225 153 95 46 1.3k
H. Formanek 772 0.8× 196 0.9× 361 1.6× 155 1.0× 134 1.4× 49 1.3k
Felix Friedberg 1.1k 1.2× 157 0.7× 282 1.3× 206 1.3× 102 1.1× 90 1.8k
René Brunisholz 1.4k 1.4× 109 0.5× 159 0.7× 111 0.7× 124 1.3× 54 1.7k
Samuel B. Horowitz 903 0.9× 74 0.3× 179 0.8× 74 0.5× 83 0.9× 31 1.4k
Jeffrey W. Nelson 1.1k 1.1× 212 0.9× 169 0.8× 78 0.5× 59 0.6× 31 1.6k
Dénes Kovács 1.1k 1.1× 172 0.8× 148 0.7× 435 2.8× 50 0.5× 21 1.4k
Anne Bremer 1.3k 1.3× 155 0.7× 103 0.5× 133 0.9× 51 0.5× 21 1.5k
S.P. Spragg 1.2k 1.2× 286 1.3× 152 0.7× 111 0.7× 59 0.6× 38 1.8k
Klaus Dose 775 0.8× 102 0.4× 77 0.3× 180 1.2× 75 0.8× 93 1.3k
Ichiro Nishii 798 0.8× 218 1.0× 212 0.9× 109 0.7× 43 0.5× 26 1.2k

Countries citing papers authored by Shahar Sukenik

Since Specialization
Citations

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

Fields of papers citing papers by Shahar Sukenik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahar Sukenik

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