Shanni N. Silberberg

968 total citations
8 papers, 443 citations indexed

About

Shanni N. Silberberg is a scholar working on Developmental Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shanni N. Silberberg has authored 8 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental Neuroscience, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shanni N. Silberberg's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Single-cell and spatial transcriptomics (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Shanni N. Silberberg is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Single-cell and spatial transcriptomics (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Shanni N. Silberberg collaborates with scholars based in United States, Spain and Germany. Shanni N. Silberberg's co-authors include John L.R. Rubenstein, Magnus Sandberg, Axel Visel, Alex S. Nord, Daniel Vogt, Susan Lindtner, Jia Sheng Hu, Linda Su-Feher, James D. Price and Scott C. Baraban and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS ONE.

In The Last Decade

Shanni N. Silberberg

8 papers receiving 440 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanni N. Silberberg United States 8 295 195 161 90 64 8 443
Anna Noren Rubin United Kingdom 11 262 0.9× 194 1.0× 212 1.3× 119 1.3× 94 1.5× 13 486
Kathryn Allaway United States 6 301 1.0× 122 0.6× 122 0.8× 58 0.6× 71 1.1× 6 429
Jia Sheng Hu United States 10 319 1.1× 174 0.9× 188 1.2× 87 1.0× 60 0.9× 11 501
Elisa Murenu Germany 7 318 1.1× 140 0.7× 117 0.7× 76 0.8× 56 0.9× 8 457
Ewoud R.E. Schmidt Netherlands 12 256 0.9× 104 0.5× 230 1.4× 98 1.1× 74 1.2× 13 502
Kelly M. Girskis United States 4 261 0.9× 99 0.5× 199 1.2× 62 0.7× 56 0.9× 4 470
Mariela Zirlinger United States 7 310 1.1× 98 0.5× 127 0.8× 111 1.2× 46 0.7× 7 460
Matthew J. Eckler United States 6 231 0.8× 130 0.7× 89 0.6× 66 0.7× 37 0.6× 6 324
Tianliuyun Gao United States 4 335 1.1× 126 0.6× 81 0.5× 66 0.7× 71 1.1× 4 455
Paloma Merchán Spain 10 261 0.9× 152 0.8× 138 0.9× 55 0.6× 33 0.5× 10 405

Countries citing papers authored by Shanni N. Silberberg

Since Specialization
Citations

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

Fields of papers citing papers by Shanni N. Silberberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shanni N. Silberberg. 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 Shanni N. Silberberg. The network helps show where Shanni N. Silberberg may publish in the future.

Co-authorship network of co-authors of Shanni N. Silberberg

This figure shows the co-authorship network connecting the top 25 collaborators of Shanni N. Silberberg. A scholar is included among the top collaborators of Shanni N. Silberberg 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 Shanni N. Silberberg. Shanni N. Silberberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Su-Feher, Linda, Anna Noren Rubin, Shanni N. Silberberg, et al.. (2022). Single cell enhancer activity distinguishes GABAergic and cholinergic lineages in embryonic mouse basal ganglia. Proceedings of the National Academy of Sciences. 119(15). 15 indexed citations
2.
Lindtner, Susan, Rinaldo Catta-Preta, Hua Tian, et al.. (2019). Genomic Resolution of DLX-Orchestrated Transcriptional Circuits Driving Development of Forebrain GABAergic Neurons. Cell Reports. 28(8). 2048–2063.e8. 65 indexed citations
3.
Hu, Jia Sheng, Daniel Vogt, Susan Lindtner, et al.. (2017). Coup-TF1 and Coup-TF2 control subtype and laminar identity of MGE-derived neocortical interneurons. Development. 144(15). 2837–2851. 41 indexed citations
4.
Silberberg, Shanni N., Leila Taher, Susan Lindtner, et al.. (2016). Subpallial Enhancer Transgenic Lines: a Data and Tool Resource to Study Transcriptional Regulation of GABAergic Cell Fate. Neuron. 92(1). 59–74. 41 indexed citations
5.
Sandberg, Magnus, Pierre Flandin, Shanni N. Silberberg, et al.. (2016). Transcriptional Networks Controlled by NKX2-1 in the Development of Forebrain GABAergic Neurons. Neuron. 91(6). 1260–1275. 89 indexed citations
6.
Vogt, Daniel, Robert F. Hunt, Shyamali Mandal, et al.. (2014). Lhx6 Directly Regulates Arx and CXCR7 to Determine Cortical Interneuron Fate and Laminar Position. Neuron. 82(2). 350–364. 93 indexed citations
7.
Pattabiraman, Kartik, Olga Golonzhka, Susan Lindtner, et al.. (2014). Transcriptional Regulation of Enhancers Active in Protodomains of the Developing Cerebral Cortex. Neuron. 82(5). 989–1003. 73 indexed citations
8.
Chen, Ying-Jiun J., Daniel Vogt, Yanling Wang, et al.. (2013). Use of “MGE Enhancers” for Labeling and Selection of Embryonic Stem Cell-Derived Medial Ganglionic Eminence (MGE) Progenitors and Neurons. PLoS ONE. 8(5). e61956–e61956. 26 indexed citations

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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