Noam Nitzan

709 total citations · 1 hit paper
13 papers, 410 citations indexed

About

Noam Nitzan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Noam Nitzan has authored 13 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Noam Nitzan's work include Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (8 papers) and Photoreceptor and optogenetics research (7 papers). Noam Nitzan is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (8 papers) and Photoreceptor and optogenetics research (7 papers). Noam Nitzan collaborates with scholars based in United States, Germany and India. Noam Nitzan's co-authors include György Buzsáki, Dietmar Schmitz, Sam McKenzie, Prateep Beed, Daniel F. English, Yiyao Zhang, Wen‐Biao Gan, Marisol Soula, Martin Sadowski and Peter Hegemann and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Noam Nitzan

13 papers receiving 406 citations

Hit Papers

Forty-hertz light stimulation does not entrain native gam... 2023 2026 2024 2025 2023 25 50 75

Peers

Noam Nitzan
Mohamady El-Gaby United Kingdom
Noam Nitzan
Citations per year, relative to Noam Nitzan Noam Nitzan (= 1×) peers Mohamady El-Gaby

Countries citing papers authored by Noam Nitzan

Since Specialization
Citations

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

Fields of papers citing papers by Noam Nitzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noam Nitzan

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

All Works

13 of 13 papers shown
1.
Nitzan, Noam, et al.. (2024). Mixing novel and familiar cues modifies representations of familiar visual images and affects behavior. Cell Reports. 43(8). 114521–114521. 3 indexed citations
2.
Nitzan, Noam & György Buzsáki. (2024). Physiological characteristics of neurons in the mammillary bodies align with topographical organization of subicular inputs. Cell Reports. 43(8). 114539–114539. 1 indexed citations
3.
Soula, Marisol, Yiyao Zhang, Noam Nitzan, et al.. (2023). Forty-hertz light stimulation does not entrain native gamma oscillations in Alzheimer’s disease model mice. Nature Neuroscience. 26(4). 570–578. 85 indexed citations breakdown →
4.
Nitzan, Noam, et al.. (2022). Brain-wide interactions during hippocampal sharp wave ripples. Proceedings of the National Academy of Sciences. 119(20). e2200931119–e2200931119. 49 indexed citations
5.
Imbrosci, Barbara, Noam Nitzan, Sam McKenzie, et al.. (2021). Subiculum as a generator of sharp wave-ripples in the rodent hippocampus. Cell Reports. 35(3). 109021–109021. 20 indexed citations
6.
Nitzan, Noam, Sam McKenzie, Prateep Beed, et al.. (2020). Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway. Nature Communications. 11(1). 1947–1947. 73 indexed citations
7.
Beed, Prateep, Saikat Ray, Alexander Stumpf, et al.. (2020). Species-specific differences in synaptic transmission and plasticity. Scientific Reports. 10(1). 16557–16557. 11 indexed citations
8.
Imbrosci, Barbara, Nikolaus Maier, Noam Nitzan, et al.. (2020). Subiculum as a Generator of Sharp Wave-Ripples in the Rodent Hippocampus. SSRN Electronic Journal. 1 indexed citations
9.
McKenzie, Sam, Noam Nitzan, & Daniel F. English. (2020). Mechanisms of neural organization and rhythmogenesis during hippocampal and cortical ripples. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1799). 20190237–20190237. 10 indexed citations
10.
Nitzan, Noam, Sam McKenzie, Daniel F. English, et al.. (2019). Propagation of Hippocampal Ripples to the Neocortex by Way of a Subiculum-Retrospleanial Pathway. SSRN Electronic Journal. 2 indexed citations
11.
Awasthi, Ankit, Binu Ramachandran, Saheeb Ahmed, et al.. (2018). Synaptotagmin-3 drives AMPA receptor endocytosis, depression of synapse strength, and forgetting. Science. 363(6422). 93 indexed citations
12.
Wozny, Christian, et al.. (2018). VGLUT2 Functions as a Differential Marker for Hippocampal Output Neurons. Frontiers in Cellular Neuroscience. 12. 337–337. 28 indexed citations
13.
Vierock, Johannes, Christiane Grimm, Noam Nitzan, & Peter Hegemann. (2017). Molecular determinants of proton selectivity and gating in the red-light activated channelrhodopsin Chrimson. Scientific Reports. 7(1). 9928–9928. 34 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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