Ravit Madar

730 total citations
22 papers, 519 citations indexed

About

Ravit Madar is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Ravit Madar has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Ravit Madar's work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Zebrafish Biomedical Research Applications (5 papers). Ravit Madar is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Zebrafish Biomedical Research Applications (5 papers). Ravit Madar collaborates with scholars based in Israel, United States and Australia. Ravit Madar's co-authors include Eitan Okun, Tomer Illouz, Kathleen J. Griffioen, Mohamed R. Mughal, Thiruma V. Arumugam, Mark P. Mattson, Noa Feldman, Boaz Barak, Aviva Rotter-Maskowitz and Asael Roichman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Ravit Madar

21 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravit Madar Israel 12 156 141 133 130 78 22 519
P. Lorenzo Bozzelli United States 12 179 1.1× 175 1.2× 210 1.6× 183 1.4× 78 1.0× 15 601
Tomer Illouz Israel 10 195 1.3× 87 0.6× 125 0.9× 177 1.4× 49 0.6× 14 487
Paola Bossù Italy 12 145 0.9× 168 1.2× 139 1.0× 206 1.6× 82 1.1× 15 530
Zbigniew Sołtys Poland 13 174 1.1× 143 1.0× 118 0.9× 69 0.5× 57 0.7× 37 536
Adeline Rachalski Canada 12 218 1.4× 122 0.9× 163 1.2× 134 1.0× 105 1.3× 16 616
Jiao Ma China 10 349 2.2× 151 1.1× 155 1.2× 99 0.8× 59 0.8× 20 637
Jonah J. Scott-McKean United States 11 147 0.9× 132 0.9× 238 1.8× 127 1.0× 73 0.9× 19 685
Giuseppe P. Cortese United States 11 116 0.7× 163 1.2× 274 2.1× 119 0.9× 56 0.7× 12 660
Paula A. Pousinha France 12 233 1.5× 272 1.9× 241 1.8× 167 1.3× 51 0.7× 20 808
Balázs Pósfai Hungary 9 278 1.8× 236 1.7× 180 1.4× 65 0.5× 123 1.6× 13 597

Countries citing papers authored by Ravit Madar

Since Specialization
Citations

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

Fields of papers citing papers by Ravit Madar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravit Madar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravit Madar. A scholar is included among the top collaborators of Ravit Madar 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 Ravit Madar. Ravit Madar 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.
Shoval, Irit, Hagit Hauschner, Ravit Madar, et al.. (2025). Dural ectopic lymphatic structures accumulate during aging and exhibit dysregulation in neurodegenerative diseases. Proceedings of the National Academy of Sciences. 122(33). e2425081122–e2425081122.
2.
Illouz, Tomer, et al.. (2024). Unbiased analysis of spatial learning strategies in a modified Barnes maze using convolutional neural networks. Scientific Reports. 14(1). 15944–15944. 2 indexed citations
3.
Madar, Ravit, et al.. (2022). HCAR1-Mediated l-Lactate Signaling Suppresses Microglial Phagocytosis. NeuroMolecular Medicine. 24(4). 399–404. 11 indexed citations
4.
Illouz, Tomer, et al.. (2021). Induction of an effective anti-Amyloid-β humoral response in aged mice. Vaccine. 39(34). 4817–4829. 6 indexed citations
5.
Illouz, Tomer, et al.. (2021). Maternal antibodies facilitate Amyloid-β clearance by activating Fc-receptor-Syk-mediated phagocytosis. Communications Biology. 4(1). 329–329. 9 indexed citations
6.
Illouz, Tomer, Ravit Madar, & Eitan Okun. (2020). A modified Barnes maze for an accurate assessment of spatial learning in mice. Journal of Neuroscience Methods. 334. 108579–108579. 11 indexed citations
7.
Rotter-Maskowitz, Aviva, Noa Feldman, Asael Roichman, et al.. (2019). L-Lactate Promotes Adult Hippocampal Neurogenesis. Frontiers in Neuroscience. 13. 403–403. 104 indexed citations
8.
Madar, Ravit, et al.. (2018). Dopamine receptors in the rat entopeduncular nucleus. Brain Structure and Function. 223(6). 2673–2684. 11 indexed citations
9.
Illouz, Tomer, Ravit Madar, Arya Biragyn, & Eitan Okun. (2018). Restoring microglial and astroglial homeostasis using DNA immunization in a Down Syndrome mouse model. Brain Behavior and Immunity. 75. 163–180. 18 indexed citations
10.
Benninger, Felix, Ravit Madar, Tomer Illouz, et al.. (2017). Toll‐like receptor 3 deficiency decreases epileptogenesis in a pilocarpine model of SE ‐induced epilepsy in mice. Epilepsia. 58(4). 586–596. 49 indexed citations
11.
Almog, Mara, et al.. (2017). Dopaminergic Modulation of Synaptic Integration and Firing Patterns in the Rat Entopeduncular Nucleus. Journal of Neuroscience. 37(30). 7177–7187. 15 indexed citations
12.
Illouz, Tomer, Ravit Madar, Kathleen J. Griffioen, & Eitan Okun. (2017). A protocol for quantitative analysis of murine and human amyloid-β1-40 and 1-42. Journal of Neuroscience Methods. 291. 28–35. 10 indexed citations
13.
Okun, Eitan, Daniel M. Cohen, Kathleen J. Griffioen, et al.. (2017). Sirt6 alters adult hippocampal neurogenesis. PLoS ONE. 12(6). e0179681–e0179681. 19 indexed citations
14.
Illouz, Tomer, et al.. (2016). Unbiased classification of spatial strategies in the Barnes maze. Bioinformatics. 32(21). 3314–3320. 49 indexed citations
15.
Madar, Ravit, Hiba Waldman Ben‐Asher, Mohamed R. Mughal, et al.. (2015). Postnatal TLR2 activation impairs learning and memory in adulthood. Brain Behavior and Immunity. 48. 301–312. 16 indexed citations
16.
Illouz, Tomer, et al.. (2015). Unraveling cognitive traits using the Morris water maze unbiased strategy classification (MUST-C) algorithm. Brain Behavior and Immunity. 52. 132–144. 40 indexed citations
17.
Barak, Boaz, Eitan Okun, Yoav Ben‐Simon, et al.. (2013). Neuron-Specific Expression of Tomosyn1 in the Mouse Hippocampal Dentate Gyrus Impairs Spatial Learning and Memory. NeuroMolecular Medicine. 15(2). 351–363. 12 indexed citations
18.
Okun, Eitan, Boaz Barak, Ravit Madar, et al.. (2012). Evidence for a Developmental Role for TLR4 in Learning and Memory. PLoS ONE. 7(10). e47522–e47522. 107 indexed citations
19.
20.
Madar, Ravit, Nimrod Miller, & Abraham J. Susswein. (2012). Autaptic muscarinic self-excitation and nitrergic self-inhibition in neurons initiating Aplysia feeding are revealed when the neurons are cultured in isolation. Journal of Molecular Histology. 43(4). 431–436. 8 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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