Iftach Dolev

831 total citations
13 papers, 672 citations indexed

About

Iftach Dolev is a scholar working on Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Iftach Dolev has authored 13 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cognitive Neuroscience. Recurrent topics in Iftach Dolev's work include Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Functional Brain Connectivity Studies (3 papers). Iftach Dolev is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Functional Brain Connectivity Studies (3 papers). Iftach Dolev collaborates with scholars based in Israel, United States and Australia. Iftach Dolev's co-authors include Inna Slutsky, Hilla Fogel, Giuseppe D. Ciccotosto, Daniel M. Michaelson, Yevgeny Berdichevsky, Noa Lipstein, Nils Brose, Neta Gazit, Haim Belinson and Tal Laviv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Iftach Dolev

13 papers receiving 667 citations

Peers

Iftach Dolev
Abigail G. Herrmann United Kingdom
Yan Jouroukhin United States
Christine Remmers United States
Yin‐Guo Lin United States
Kevin R. Kay United States
Huixin Xu United States
Iftach Dolev
Citations per year, relative to Iftach Dolev Iftach Dolev (= 1×) peers Hilla Fogel

Countries citing papers authored by Iftach Dolev

Since Specialization
Citations

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

Fields of papers citing papers by Iftach Dolev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iftach Dolev

This figure shows the co-authorship network connecting the top 25 collaborators of Iftach Dolev. A scholar is included among the top collaborators of Iftach Dolev 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 Iftach Dolev. Iftach Dolev 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.
Thaler, Avner, Iftach Dolev, Anat Mirelman, et al.. (2024). TMS-evoked potentials unveil occipital network involvement in patients diagnosed with Parkinson’s disease within 5 years of inclusion. npj Parkinson s Disease. 10(1). 182–182. 1 indexed citations
2.
Fogel, Hilla, et al.. (2021). Brain Network Integrity Changes in Subjective Cognitive Decline: A Possible Physiological Biomarker of Dementia. Frontiers in Neurology. 12. 699014–699014. 12 indexed citations
3.
Sasson, Efrat, Shai Efrati, Dallas C. Hack, et al.. (2020). Evaluation of White Matter Integrity Utilizing the DELPHI (TMS-EEG) System. Frontiers in Neuroscience. 14. 589107–589107. 6 indexed citations
4.
Efrati, Shai, et al.. (2019). Introducing a Novel Approach for Evaluation and Monitoring of Brain Health Across Life Span Using Direct Non-invasive Brain Network Electrophysiology. Frontiers in Aging Neuroscience. 11. 248–248. 7 indexed citations
5.
Dolev, Iftach, Hilla Fogel, Yevgeny Berdichevsky, et al.. (2013). Spike bursts increase amyloid-β 40/42 ratio by inducing a presenilin-1 conformational change. Nature Neuroscience. 16(5). 587–595. 74 indexed citations
6.
Laviv, Tal, Inbal Riven, Iftach Dolev, et al.. (2010). Basal GABA Regulates GABABR Conformation and Release Probability at Single Hippocampal Synapses. Neuron. 67(2). 253–267. 41 indexed citations
7.
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
8.
Belinson, Haim, et al.. (2008). Activation of the Amyloid Cascade by Intracerebroventricular Injection of the Protease Inhibitor Phosphoramidon. Neurodegenerative Diseases. 5(3-4). 166–169. 10 indexed citations
9.
Levi, Ofir, Iftach Dolev, Haim Belinson, & Daniel M. Michaelson. (2007). Intraneuronal amyloid‐β plays a role in mediating the synergistic pathological effects of apoE4 and environmental stimulation. Journal of Neurochemistry. 103(3). 1031–1040. 19 indexed citations
10.
Belinson, Haim, Iftach Dolev, & Daniel M. Michaelson. (2006). Neuron-specific susceptibility to apolipoprotein E4. Neurobiology of Aging. 28(5). 689–692. 2 indexed citations
11.
Dolev, Iftach & Daniel M. Michaelson. (2006). The nucleation growth and reversibility of Amyloid-β deposition in vivo. Journal of Alzheimer s Disease. 10(2-3). 291–301. 11 indexed citations
12.
13.
Dolev, Iftach & Daniel M. Michaelson. (2004). A nontransgenic mouse model shows inducible amyloid-β (Aβ) peptide deposition and elucidates the role of apolipoprotein E in the amyloid cascade. Proceedings of the National Academy of Sciences. 101(38). 13909–13914. 85 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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