Edith Suss-Toby

19 total papers · 1.1k total citations
17 papers, 884 citations indexed

About

Edith Suss-Toby is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Edith Suss-Toby has authored 17 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Edith Suss-Toby's work include Neurobiology and Insect Physiology Research (5 papers), Herpesvirus Infections and Treatments (2 papers) and Developmental Biology and Gene Regulation (2 papers). Edith Suss-Toby is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Herpesvirus Infections and Treatments (2 papers) and Developmental Biology and Gene Regulation (2 papers). Edith Suss-Toby collaborates with scholars based in Israel, United States and Czechia. Edith Suss-Toby's co-authors include Joshua Zimmerberg, Gary E. Ward, Baruch Minke, Zvi Selinger, Asher Peretz, Alexandr Chanturiya, Elphège P. Nora, Leonid Chernomordik, Israël Vlodavsky and Neta Ilan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Edith Suss-Toby

17 papers receiving 867 citations

Author Peers

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

Author Last Decade Papers Cites
Edith Suss-Toby 452 188 176 143 135 17 884
Jacqueline Schmuckli‐Maurer 578 1.3× 160 0.9× 119 0.7× 205 1.4× 76 0.6× 25 1.0k
Hannah N. Bell 444 1.0× 225 1.2× 60 0.3× 229 1.6× 154 1.1× 26 998
Magali Chemali 448 1.0× 110 0.6× 80 0.5× 529 3.7× 98 0.7× 9 1.0k
Anna Kabanova 281 0.6× 118 0.6× 99 0.6× 540 3.8× 39 0.3× 24 943
Manish Sharma 441 1.0× 25 0.1× 121 0.7× 185 1.3× 108 0.8× 32 843
Olivier Lucas 375 0.8× 445 2.4× 59 0.3× 295 2.1× 82 0.6× 23 884
Kazuhiro Nagaike 470 1.0× 44 0.2× 133 0.8× 265 1.9× 30 0.2× 30 1.0k
Kurt S. Cannon 636 1.4× 34 0.2× 153 0.9× 58 0.4× 164 1.2× 9 1.0k
Maya Kono 228 0.5× 219 1.2× 44 0.3× 160 1.1× 44 0.3× 27 884
Paul W. Howard 495 1.1× 31 0.2× 54 0.3× 223 1.6× 76 0.6× 23 941

Countries citing papers authored by Edith Suss-Toby

Since Specialization
Citations

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

Fields of papers citing papers by Edith Suss-Toby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edith Suss-Toby. 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 Edith Suss-Toby. The network helps show where Edith Suss-Toby may publish in the future.

Co-authorship network of co-authors of Edith Suss-Toby

This figure shows the co-authorship network connecting the top 25 collaborators of Edith Suss-Toby. A scholar is included among the top collaborators of Edith Suss-Toby 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 Edith Suss-Toby. Edith Suss-Toby 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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