Inna Slutsky

3.9k total citations
43 papers, 2.8k citations indexed

About

Inna Slutsky is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Inna Slutsky has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 14 papers in Physiology. Recurrent topics in Inna Slutsky's work include Neuroscience and Neuropharmacology Research (24 papers), Alzheimer's disease research and treatments (12 papers) and Neural dynamics and brain function (7 papers). Inna Slutsky is often cited by papers focused on Neuroscience and Neuropharmacology Research (24 papers), Alzheimer's disease research and treatments (12 papers) and Neural dynamics and brain function (7 papers). Inna Slutsky collaborates with scholars based in Israel, United States and United Kingdom. Inna Slutsky's co-authors include Boaz Styr, Samuel Frère, Hilla Fogel, Iftach Dolev, Irena Vertkin, Giuseppe D. Ciccotosto, H. Parnas, I. Parnas, Guosong Liu and Neta Gazit and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Inna Slutsky

42 papers receiving 2.8k citations

Peers

Inna Slutsky

CMN

PHYSI

PHARM

Yinghe Hu China

Tariq Ahmed Belgium

Inga Kadish United States

Sarah Rose United Kingdom

Daniel J. Whitcomb United Kingdom

Luis G. Aguayo Chile

Juan A. Godoy Chile

Caroline E. Herron Ireland

Mauro Fà United States

Benoı̂t Delatour France

Yinghe Hu China

Inna Slutsky

1.1k ×0.8

CMN

695 ×0.7

PHYSI

1.2k ×1.2

375 ×0.7

242 ×0.7

PHARM

Citations per year, relative to Inna Slutsky Inna Slutsky (= 1×) peers Yinghe Hu

Countries citing papers authored by Inna Slutsky

Since Specialization

Citations

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

Fields of papers citing papers by Inna Slutsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Slutsky

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

All Works

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20 of 20 papers shown

Ruggiero, Antonella, et al.. (2024). NMDA receptors regulate the firing rate set point of hippocampal circuits without altering single-cell dynamics. Neuron. 113(2). 244–259.e7. 2 indexed citations

Langberg, Tomer, et al.. (2023). Deep brain stimulation of thalamic nucleus reuniens promotes neuronal and cognitive resilience in an Alzheimer’s disease mouse model. Nature Communications. 14(1). 7002–7002. 14 indexed citations

Benbenishty, Amit, Venkat Raghavan Krishnaswamy, Antonella Ruggiero, et al.. (2023). Longitudinal in vivo imaging of perineuronal nets. Neurophotonics. 10(1). 15008–15008. 7 indexed citations

Shapira, Ilana, Eman M. Abbas, Boaz Styr, et al.. (2022). IGF-1 receptor regulates upward firing rate homeostasis via the mitochondrial calcium uniporter. Proceedings of the National Academy of Sciences. 119(33). e2121040119–e2121040119. 13 indexed citations

Slutsky, Inna, et al.. (2022). Measuring synaptic transmission and plasticity with fEPSP recordings in behaving mice. STAR Protocols. 3(1). 101115–101115. 3 indexed citations

Arnon, Zohar A., Boris P. Yakimov, Ruth Aizen, et al.. (2021). On-off transition and ultrafast decay of amino acid luminescence driven by modulation of supramolecular packing. iScience. 24(7). 102695–102695. 31 indexed citations

Rice, Heather C., An Schreurs, Samuel Frère, et al.. (2019). Secreted amyloid-β precursor protein functions as a GABA _B R1a ligand to modulate synaptic transmission. Science. 363(6423). 206 indexed citations

Styr, Boaz, N Gonen, Antonella Ruggiero, et al.. (2019). Mitochondrial Regulation of the Hippocampal Firing Rate Set Point and Seizure Susceptibility. Neuron. 102(5). 1009–1024.e8. 85 indexed citations

Styr, Boaz & Inna Slutsky. (2018). Imbalance between firing homeostasis and synaptic plasticity drives early-phase Alzheimer’s disease. Nature Neuroscience. 21(4). 463–473. 214 indexed citations

10.

Gazit, Neta, Yael Barhum, Tali Ben‐Zur, et al.. (2017). BDNF overexpression prevents cognitive deficit elicited by adolescent cannabis exposure and host susceptibility interaction. Human Molecular Genetics. 26(13). 2462–2471. 38 indexed citations

11.

Wang, Zemin, Rosemary J. Jackson, Wei Hong, et al.. (2017). Human Brain-Derived Aβ Oligomers Bind to Synapses and Disrupt Synaptic Activity in a Manner That Requires APP. Journal of Neuroscience. 37(49). 11947–11966. 103 indexed citations

12.

Visochek, Leonid, G. A. Grigoryan, Inna Slutsky, et al.. (2016). A PARP1-ERK2 synergism is required for the induction of LTP. Scientific Reports. 6(1). 24950–24950. 20 indexed citations

13.

Kahn, Joy, et al.. (2015). ATP Binding to Synaspsin IIa Regulates Usage and Clustering of Vesicles in Terminals of Hippocampal Neurons. Journal of Neuroscience. 35(3). 985–998. 26 indexed citations

14.

Ben‐Gedalya, Tziona, Lorna Moll, Michal Bejerano‐Sagie, et al.. (2015). Alzheimer's disease‐causing proline substitutions lead to presenilin 1 aggregation and malfunction. The EMBO Journal. 34(22). 2820–2839. 26 indexed citations

15.

Fogel, Hilla, Samuel Frère, Oshik Segev, et al.. (2014). APP Homodimers Transduce an Amyloid-β-Mediated Increase in Release Probability at Excitatory Synapses. Cell Reports. 7(5). 1560–1576. 101 indexed citations

16.

Laviv, Tal, Irena Vertkin, Yevgeny Berdichevsky, et al.. (2011). Compartmentalization of the GABA_BReceptor Signaling Complex Is Required for Presynaptic Inhibition at Hippocampal Synapses. Journal of Neuroscience. 31(35). 12523–12532. 35 indexed citations

17.

Slutsky, Inna, Nashat Abumaria, Long‐Jun Wu, et al.. (2010). Enhancement of Learning and Memory by Elevating Brain Magnesium. Neuron. 65(2). 165–177. 277 indexed citations

18.

Parnas, Moshe, Maximilian Peters, Daniela Dadon, et al.. (2009). Carvacrol is a novel inhibitor of Drosophila TRPL and mammalian TRPM7 channels. Cell Calcium. 45(3). 300–309. 141 indexed citations

19.

Dolev, Iftach, et al.. (2009). Amyloid-β as a positive endogenous regulator of release probability at hippocampal synapses. Nature Neuroscience. 12(12). 1567–1576. 403 indexed citations

20.

Parnas, H., et al.. (2005). Depolarization Initiates Phasic Acetylcholine Release by Relief of a Tonic Block Imposed by Presynaptic M₂ Muscarinic Receptors. Journal of Neurophysiology. 93(6). 3257–3269. 22 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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