Susana Silberstein

41 total papers · 1.7k total citations
35 papers, 1.3k citations indexed

About

Susana Silberstein is a scholar working on Molecular Biology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Susana Silberstein has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Behavioral Neuroscience and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Susana Silberstein's work include Stress Responses and Cortisol (10 papers), Fungal and yeast genetics research (8 papers) and Receptor Mechanisms and Signaling (6 papers). Susana Silberstein is often cited by papers focused on Stress Responses and Cortisol (10 papers), Fungal and yeast genetics research (8 papers) and Receptor Mechanisms and Signaling (6 papers). Susana Silberstein collaborates with scholars based in Argentina, Germany and United States. Susana Silberstein's co-authors include Reid Gilmore, Eduardo Arzt, Herta Flor, Juán José Bonfiglio, D J Kelleher, P G Collins, Günter K. Stalla, Juan Gerez, Marcelo Páez-Pereda and Carolina Perez-Castro and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Susana Silberstein

34 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Susana Silberstein 882 239 180 158 143 35 1.3k
Xiaoning Chen 551 0.6× 103 0.4× 144 0.8× 133 0.8× 99 0.7× 61 1.2k
Fayaz Seifuddin 716 0.8× 165 0.7× 82 0.5× 72 0.5× 169 1.2× 39 1.4k
Sebastiaan H. Meijsing 933 1.1× 151 0.6× 266 1.5× 93 0.6× 142 1.0× 27 1.6k
Chiseko Noda 997 1.1× 266 1.1× 284 1.6× 42 0.3× 105 0.7× 44 1.6k
Ilja Vietor 857 1.0× 112 0.5× 205 1.1× 50 0.3× 227 1.6× 42 1.5k
Kathy E. O’Neill 979 1.1× 118 0.5× 141 0.8× 83 0.5× 45 0.3× 22 1.5k
Torben Særmark 664 0.8× 148 0.6× 136 0.8× 44 0.3× 71 0.5× 63 1.4k
Michael W. Collard 885 1.0× 170 0.7× 205 1.1× 31 0.2× 65 0.5× 32 1.6k
Wayne Grant 861 1.0× 425 1.8× 56 0.3× 46 0.3× 45 0.3× 33 1.8k
Graciela Piwien‐Pilipuk 998 1.1× 132 0.6× 242 1.3× 82 0.5× 143 1.0× 42 1.6k

Countries citing papers authored by Susana Silberstein

Since Specialization
Citations

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

Fields of papers citing papers by Susana Silberstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susana Silberstein

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