Suzanne Paradis

6.3k total citations · 2 hit papers
56 papers, 5.0k citations indexed

About

Suzanne Paradis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Suzanne Paradis has authored 56 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Suzanne Paradis's work include Neuroscience and Neuropharmacology Research (22 papers), Transition Metal Oxide Nanomaterials (13 papers) and Axon Guidance and Neuronal Signaling (8 papers). Suzanne Paradis is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Transition Metal Oxide Nanomaterials (13 papers) and Axon Guidance and Neuronal Signaling (8 papers). Suzanne Paradis collaborates with scholars based in United States, Canada and France. Suzanne Paradis's co-authors include Gary Ruvkun, Scott Ogg, S Gottlieb, Heidi A. Tissenbaum, Garth I. Patterson, Linda Lee, Michael E. Greenberg, Graeme W. Davis, Michael Ailion and Alex Toker and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Suzanne Paradis

54 papers receiving 4.9k citations

Hit Papers

The Fork head transcription factor DAF-16 transduces insu... 1997 2026 2006 2016 1997 1998 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Paradis United States 23 2.3k 1.9k 1.1k 754 656 56 5.0k
Miriam B. Goodman United States 47 2.4k 1.0× 2.8k 1.5× 1.6k 1.5× 1.8k 2.4× 1.4k 2.2× 119 6.4k
Varda Lev‐Ram United States 29 2.5k 1.1× 238 0.1× 2.2k 2.0× 348 0.5× 542 0.8× 47 5.1k
Piali Sengupta United States 50 3.1k 1.3× 3.5k 1.9× 1.7k 1.5× 2.5k 3.3× 1.1k 1.6× 127 7.8k
Yishi Jin United States 53 5.3k 2.3× 3.6k 1.9× 3.6k 3.3× 1.2k 1.6× 804 1.2× 163 9.9k
Sreekanth H. Chalasani United States 23 1.1k 0.5× 1.3k 0.7× 1.9k 1.7× 1.0k 1.3× 325 0.5× 45 4.2k
Kang Shen United States 54 4.8k 2.1× 2.1k 1.1× 4.3k 3.9× 954 1.3× 831 1.3× 158 9.3k
Kwanghun Chung United States 29 2.0k 0.9× 245 0.1× 1.2k 1.1× 123 0.2× 331 0.5× 55 5.9k
Takafumi Inoue Japan 50 3.7k 1.6× 65 0.0× 2.1k 1.9× 219 0.3× 586 0.9× 253 7.7k
Jennifer Johnston United States 23 2.7k 1.2× 164 0.1× 784 0.7× 50 0.1× 840 1.3× 41 5.8k
Jesse Gray United States 21 3.1k 1.3× 1.3k 0.7× 1.1k 1.0× 991 1.3× 445 0.7× 35 5.4k

Countries citing papers authored by Suzanne Paradis

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Paradis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Paradis

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

All Works

20 of 20 papers shown
1.
Paradis, Suzanne, et al.. (2024). Plexin-B1 and Plexin-B2 play non-redundant roles in GABAergic synapse formation. Molecular and Cellular Neuroscience. 128. 103920–103920. 8 indexed citations
2.
Clarke, Vernon R. J., et al.. (2023). Semaphorin 4D induced inhibitory synaptogenesis decreases epileptiform activity and alters progression to Status Epilepticus in mice. Epilepsy Research. 193. 107156–107156. 2 indexed citations
3.
Xu, Weijin, et al.. (2020). TDP-43 dysfunction restricts dendritic complexity by inhibiting CREB activation and altering gene expression. Proceedings of the National Academy of Sciences. 117(21). 11760–11769. 38 indexed citations
4.
Moore, Anna R., et al.. (2020). Experience-Dependent Development of Dendritic Arbors in Mouse Visual Cortex. Journal of Neuroscience. 40(34). 6536–6556. 12 indexed citations
5.
Paradis, Suzanne, et al.. (2019). Stable memory and computation in randomly rewiring neural networks. Journal of Neurophysiology. 122(1). 66–80. 13 indexed citations
6.
Moore, Anna R., et al.. (2018). Rem2 stabilizes intrinsic excitability and spontaneous firing in visual circuits. eLife. 7. 13 indexed citations
7.
Royer, Leandro, et al.. (2018). The Ras-like GTPase Rem2 is a potent inhibitor of calcium/calmodulin-dependent kinase II activity. Journal of Biological Chemistry. 293(38). 14798–14811. 10 indexed citations
8.
Paradis, Suzanne, et al.. (2018). Class 4 Semaphorins and Plexin-B receptors regulate GABAergic and glutamatergic synapse development in the mammalian hippocampus. Molecular and Cellular Neuroscience. 92. 50–66. 25 indexed citations
9.
Rodal, Avital A., et al.. (2017). TDP-43 misexpression causes defects in dendritic growth. Scientific Reports. 7(1). 15656–15656. 31 indexed citations
10.
Tatavarty, Vedakumar, Ken Sugino, Yasuyuki Shima, et al.. (2016). Upregulation of μ3A Drives Homeostatic Plasticity by Rerouting AMPAR into the Recycling Endosomal Pathway. Cell Reports. 16(10). 2711–2722. 18 indexed citations
11.
Raissi, Aram, et al.. (2014). Enhanced potency of the metalloprotease inhibitor TAPI-2 by multivalent display. Bioorganic & Medicinal Chemistry Letters. 24(8). 2002–2007. 5 indexed citations
12.
Ghiretti, Amy E., Anna R. Moore, Liangfu Chen, et al.. (2014). Rem2 Is an Activity-Dependent Negative Regulator of Dendritic ComplexityIn Vivo. Journal of Neuroscience. 34(2). 392–407. 31 indexed citations
14.
Ghiretti, Amy E., et al.. (2013). CaMKII-Dependent Phosphorylation of the GTPase Rem2 Is Required to Restrict Dendritic Complexity. Journal of Neuroscience. 33(15). 6504–6515. 24 indexed citations
15.
Moore, Anna R., Amy E. Ghiretti, & Suzanne Paradis. (2013). A Loss-Of-Function Analysis Reveals That Endogenous Rem2 Promotes Functional Glutamatergic Synapse Formation and Restricts Dendritic Complexity. PLoS ONE. 8(8). e74751–e74751. 14 indexed citations
16.
Paradis, Suzanne, Dana Harrar, Yingxi Lin, et al.. (2007). An RNAi-Based Approach Identifies Molecules Required for Glutamatergic and GABAergic Synapse Development. Neuron. 53(2). 217–232. 176 indexed citations
17.
Tolias, Kimberley F., Jay B. Bikoff, A Burette, et al.. (2005). The Rac1-GEF Tiam1 Couples the NMDA Receptor to the Activity-Dependent Development of Dendritic Arbors and Spines. Neuron. 45(4). 525–538. 307 indexed citations
18.
Paradis, Suzanne, Sean T. Sweeney, & Graeme W. Davis. (2001). Homeostatic Control of Presynaptic Release Is Triggered by Postsynaptic Membrane Depolarization. Neuron. 30(3). 737–749. 201 indexed citations
19.
Paradis, Suzanne & Gary Ruvkun. (1998). Caenorhabditis elegans Akt/PKB transduces insulin receptor-like signals from AGE-1 PI3 kinase to the DAF-16 transcription factor. Genes & Development. 12(16). 2488–2498. 572 indexed citations breakdown →
20.
Ogg, Scott, Suzanne Paradis, S Gottlieb, et al.. (1997). The Fork head transcription factor DAF-16 transduces insulin-like metabolic and longevity signals in C. elegans. Nature. 389(6654). 994–999. 1603 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026