Dana Silverbush

55 total papers · 4.6k total citations
17 papers, 210 citations indexed

About

Dana Silverbush is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Dana Silverbush has authored 17 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Dana Silverbush's work include Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (4 papers) and Genomics and Chromatin Dynamics (3 papers). Dana Silverbush is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (4 papers) and Genomics and Chromatin Dynamics (3 papers). Dana Silverbush collaborates with scholars based in Israel, United States and Germany. Dana Silverbush's co-authors include Roded Sharan, Tamar Geiger, Gali Arad, Niko Beerenwinkel, Simona Cristea, Jonathan R. Dry, Francoise Powell, Berthold Göttgens, Jasmin Fisher and Dennis Wang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Dana Silverbush

15 papers receiving 208 citations

Author Peers

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

Author Last Decade Papers Cites
Dana Silverbush 174 41 39 28 16 17 210
Nico Voss 216 1.2× 25 0.6× 28 0.7× 23 0.8× 24 1.5× 11 273
Maruan Hijazi 194 1.1× 56 1.4× 38 1.0× 29 1.0× 11 0.7× 12 253
Francisco Campos‐Laborie 179 1.0× 33 0.8× 37 0.9× 28 1.0× 15 0.9× 12 249
Gillian M. Lamont 151 0.9× 20 0.5× 30 0.8× 58 2.1× 9 0.6× 15 237
Isao Yasumatsu 205 1.2× 21 0.5× 37 0.9× 37 1.3× 17 1.1× 17 270
Loredana Martignetti 236 1.4× 29 0.7× 54 1.4× 36 1.3× 30 1.9× 17 290
Yue Cao 204 1.2× 32 0.8× 52 1.3× 45 1.6× 14 0.9× 13 284
Stephanie Dorman 170 1.0× 16 0.4× 74 1.9× 46 1.6× 22 1.4× 13 278
Vasilis S. Dionellis 159 0.9× 37 0.9× 28 0.7× 86 3.1× 8 0.5× 10 245
Enio Gjerga 213 1.2× 41 1.0× 30 0.8× 25 0.9× 11 0.7× 16 273

Countries citing papers authored by Dana Silverbush

Since Specialization
Citations

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

Fields of papers citing papers by Dana Silverbush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Silverbush

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