Noa Bregman

833 total citations
33 papers, 499 citations indexed

About

Noa Bregman is a scholar working on Cognitive Neuroscience, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Noa Bregman has authored 33 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Physiology and 12 papers in Psychiatry and Mental health. Recurrent topics in Noa Bregman's work include Dementia and Cognitive Impairment Research (10 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Alzheimer's disease research and treatments (6 papers). Noa Bregman is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Alzheimer's disease research and treatments (6 papers). Noa Bregman collaborates with scholars based in Israel, United States and Canada. Noa Bregman's co-authors include Nir Giladi, Anat Mirelman, Tamara Shiner, Avi Orr‐Urtreger, Tanya Gurevich, Avner Thaler, Anat Bar‐Shira, Luanda Grazette, Kevin S. King and Robert A. Kloner and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Noa Bregman

31 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noa Bregman Israel 14 203 155 127 100 89 33 499
Raffaella Di Giacopo Italy 11 309 1.5× 70 0.5× 142 1.1× 52 0.5× 38 0.4× 18 574
Niels Hansen Germany 11 274 1.3× 167 1.1× 41 0.3× 137 1.4× 93 1.0× 65 567
Robin Borchert United Kingdom 9 211 1.0× 311 2.0× 192 1.5× 152 1.5× 196 2.2× 16 726
James D. Stefaniak United Kingdom 13 75 0.4× 101 0.7× 175 1.4× 138 1.4× 136 1.5× 22 553
Muhammad Saad Yousuf Canada 13 203 1.0× 145 0.9× 29 0.2× 47 0.5× 40 0.4× 42 466
Satoshi Tomita Japan 13 327 1.6× 111 0.7× 51 0.4× 52 0.5× 68 0.8× 21 463
J.M.L. Henselmans Netherlands 10 126 0.6× 59 0.4× 84 0.7× 42 0.4× 32 0.4× 13 374
Liana S. Rosenthal United States 16 549 2.7× 121 0.8× 117 0.9× 107 1.1× 98 1.1× 63 810
Corneliu Luca United States 14 370 1.8× 64 0.4× 60 0.5× 121 1.2× 63 0.7× 45 623

Countries citing papers authored by Noa Bregman

Since Specialization
Citations

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

Fields of papers citing papers by Noa Bregman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noa Bregman

This figure shows the co-authorship network connecting the top 25 collaborators of Noa Bregman. A scholar is included among the top collaborators of Noa Bregman 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 Noa Bregman. Noa Bregman 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.
Carli, Giulia, Remco J. Renken, Tamara Shiner, et al.. (2025). IRMA: Machine learning-based harmonization of $$^{18}$$F-FDG PET brain scans in multi-center studies. European Journal of Nuclear Medicine and Molecular Imaging. 52(8). 2941–2958.
2.
Sharon, O., Tamara Shiner, Matthew P. Walker, et al.. (2025). Slow wave synchrony during NREM sleep tracks cognitive impairment in prodromal Alzheimer's disease. Alzheimer s & Dementia. 21(5). e70247–e70247. 1 indexed citations
3.
Shiner, Tamara, Gitit Kavé, Anat Mirelman, et al.. (2024). Effect of GBA1 Mutations and APOE Polymorphisms on Survival and Progression Among Ashkenazi Jews with Dementia with Lewy Bodies. Movement Disorders. 39(12). 2280–2285. 1 indexed citations
4.
Shiner, Tamara, et al.. (2024). Anti-amyloid treatments for Alzheimer's disease: A study on physicians’ perspectives. Journal of Alzheimer s Disease. 102(3). 627–632.
5.
Bregman, Noa, Gitit Kavé, Arnon Karni, et al.. (2024). Long-term cognitive outcomes in Susac syndrome: A case series. Journal of Neuroimmunology. 393. 578396–578396. 1 indexed citations
6.
Bregman, Noa, Tamara Shiner, Gitit Kavé, et al.. (2023). The natural history study of preclinical genetic Creutzfeldt-Jakob Disease (CJD): a prospective longitudinal study protocol. BMC Neurology. 23(1). 151–151. 3 indexed citations
8.
Biran, Iftah, et al.. (2022). Body Structural Description Impairment in Complex Regional Pain Syndrome Type I. Frontiers in Psychology. 13. 853641–853641. 3 indexed citations
9.
Bregman, Noa, et al.. (2021). Associations between visual hallucinations and impaired visuo-spatial abilities in dementia with Lewy bodies.. Neuropsychology. 35(3). 276–284. 4 indexed citations
10.
Kizony, Rachel, Jesse M. Cedarbaum, Noa Bregman, et al.. (2021). Quantitative digital clock drawing test as a sensitive tool to detect subtle cognitive impairments in early stage Parkinson's disease. Parkinsonism & Related Disorders. 90. 84–89. 8 indexed citations
12.
Kavé, Gitit, et al.. (2021). On the importance of using local tests and local norms in the assessment of memory. Applied Neuropsychology Adult. 29(6). 1492–1498. 4 indexed citations
13.
Bregman, Noa, et al.. (2020). Memory impairment and Alzheimer's disease pathology in individuals with MCI who underestimate or overestimate their decline. International Journal of Geriatric Psychiatry. 35(5). 581–588. 15 indexed citations
14.
Mitelpunkt, Alexis, et al.. (2020). Novel Alzheimer’s disease subtypes identified using a data and knowledge driven strategy. Scientific Reports. 10(1). 1327–1327. 24 indexed citations
15.
Bregman, Noa, et al.. (2018). Dissociation in awareness of memory and language decline in Alzheimer's disease. International Journal of Geriatric Psychiatry. 34(4). 548–554. 8 indexed citations
16.
Thaler, Avner, Noa Bregman, Tanya Gurevich, et al.. (2018). Parkinson's disease phenotype is influenced by the severity of the mutations in the GBA gene. Parkinsonism & Related Disorders. 55. 45–49. 88 indexed citations
17.
Thaler, Avner, Efrat Kliper, Talia Herman, et al.. (2018). Cerebral Imaging Markers of GBA and LRRK2 Related Parkinson’s Disease and Their First-Degree Unaffected Relatives. Brain Topography. 31(6). 1029–1036. 21 indexed citations
18.
Havakuk, Ofer, Kevin S. King, Luanda Grazette, et al.. (2017). Heart Failure-Induced Brain Injury. Journal of the American College of Cardiology. 69(12). 1609–1616. 99 indexed citations
19.
Bregman, Noa, Avner Thaler, Anat Mirelman, et al.. (2016). A cognitive fMRI study in non-manifesting LRRK2 and GBA carriers. Brain Structure and Function. 222(3). 1207–1218. 16 indexed citations
20.
Sherman, Shany, Dan Justo, Tal Engel, et al.. (2012). Cytomegalovirus‐associated cerebral sinus vein thrombosis. Journal of Medical Virology. 84(12). 1934–1936. 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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