Maya Groysman

2.0k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Maya Groysman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Maya Groysman has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Maya Groysman's work include Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Maya Groysman is often cited by papers focused on Memory and Neural Mechanisms (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Maya Groysman collaborates with scholars based in Israel, United States and Canada. Maya Groysman's co-authors include Inbal Goshen, Tirzah Kreisel, Michael London, Shulamit Katzav, Ron Refaeli, A. Doron, Limor Regev, Nofar Ozeri-Engelhard, Henrike Horn and Ami Citri and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Maya Groysman

21 papers receiving 1.2k citations

Hit Papers

Astrocytic Activation Generates De Novo Neuronal Potentia... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Astrocytic Activation Generates De Novo Neuronal Potentiation and Memory Enhancement
    2018 413 citations Tirzah Kreisel, A. Doron et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Groysman Israel 15 623 413 350 350 161 22 1.3k
Keitaro Yoshida Japan 14 459 0.7× 312 0.8× 240 0.7× 267 0.8× 95 0.6× 19 979
Anthony T. Lee United States 16 855 1.4× 698 1.7× 390 1.1× 328 0.9× 219 1.4× 28 1.6k
Michael T. Craig United States 15 941 1.5× 609 1.5× 421 1.2× 244 0.7× 147 0.9× 24 1.4k
Marco Cambiaghi Italy 19 376 0.6× 312 0.8× 319 0.9× 370 1.1× 102 0.6× 47 1.1k
Kea Joo Lee South Korea 18 417 0.7× 279 0.7× 447 1.3× 201 0.6× 158 1.0× 47 1.1k
Xiao-Bo Liu United States 14 657 1.1× 222 0.5× 394 1.1× 198 0.6× 185 1.1× 23 1.0k
Noriaki Ohkawa Japan 16 544 0.9× 390 0.9× 357 1.0× 137 0.4× 163 1.0× 34 1.1k
Graziella Di Cristo Canada 12 1.0k 1.6× 566 1.4× 464 1.3× 187 0.5× 249 1.5× 19 1.5k
Akash Datwani United States 9 713 1.1× 212 0.5× 370 1.1× 316 0.9× 248 1.5× 10 1.1k
Massimiliano Renzi Italy 18 791 1.3× 218 0.5× 511 1.5× 413 1.2× 114 0.7× 31 1.3k

Countries citing papers authored by Maya Groysman

Since Specialization
Citations

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

Fields of papers citing papers by Maya Groysman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Groysman

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Groysman. A scholar is included among the top collaborators of Maya Groysman 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 Maya Groysman. Maya Groysman 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.
Atlan, Gal, Noa Matosevich, Noa Peretz‐Rivlin, et al.. (2024). Claustrum neurons projecting to the anterior cingulate restrict engagement during sleep and behavior. Nature Communications. 15(1). 5415–5415. 11 indexed citations
2.
Refaeli, Ron, et al.. (2024). Astrocytes control recent and remote memory strength by affecting the recruitment of the CA1→ACC projection to engrams. Cell Reports. 43(3). 113943–113943. 9 indexed citations
3.
Refaeli, Ron, et al.. (2023). Engram stability and maturation during systems consolidation. Current Biology. 33(18). 3942–3950.e3. 16 indexed citations
4.
5.
Refaeli, Ron, A. Doron, Maya Groysman, et al.. (2021). Features of hippocampal astrocytic domains and their spatial relation to excitatory and inhibitory neurons. Glia. 69(10). 2378–2390. 23 indexed citations
6.
Groysman, Maya, et al.. (2020). Astrocytes contribute to remote memory formation by modulating hippocampal–cortical communication during learning. Nature Neuroscience. 23(10). 1229–1239. 187 indexed citations
7.
Tasaka, Gen‐ichi, et al.. (2020). Young adult-born neurons improve odor coding by mitral cells. Nature Communications. 11(1). 5867–5867. 14 indexed citations
8.
Tasaka, Gen‐ichi, Maya Groysman, Laura A. DeNardo, et al.. (2020). The Temporal Association Cortex Plays a Key Role in Auditory-Driven Maternal Plasticity. Neuron. 107(3). 566–579.e7. 57 indexed citations
9.
Terem, Anna, Ben J. Gonzales, Noa Peretz‐Rivlin, et al.. (2020). Claustral Neurons Projecting to Frontal Cortex Mediate Contextual Association of Reward. Current Biology. 30(18). 3522–3532.e6. 38 indexed citations
10.
Terem, Anna, et al.. (2020). A Claustro-Frontal Dopamine-Driven Circuit Essential For Contextual Association of Reward. SSRN Electronic Journal. 1 indexed citations
11.
Tasaka, Gen‐ichi, Maya Groysman, Laura A. DeNardo, et al.. (2019). Temporal Association Cortex - A Cortical Hub for Processing Infant Vocalizations. SSRN Electronic Journal. 1 indexed citations
12.
Atlan, Gal, Anna Terem, Noa Peretz‐Rivlin, et al.. (2018). The Claustrum Supports Resilience to Distraction. Current Biology. 28(17). 2752–2762.e7. 98 indexed citations
13.
Kreisel, Tirzah, A. Doron, Nofar Ozeri-Engelhard, et al.. (2018). Astrocytic Activation Generates De Novo Neuronal Potentiation and Memory Enhancement. Cell. 174(1). 59–71.e14. 413 indexed citations breakdown →
14.
Schechtman, Eitan, et al.. (2012). Enhanced Synaptic Integration of Adult-Born Neurons in the Olfactory Bulb of Lactating Mothers. Journal of Neuroscience. 32(22). 7519–7527. 39 indexed citations
15.
Groysman, Maya, Irit Shoval, & Chaya Kalcheim. (2008). A negative modulatory role for rho and rho-associated kinase signaling in delamination of neural crest cells. Neural Development. 3(1). 27–27. 57 indexed citations
16.
Pikarsky, Eli, et al.. (2003). The haematopoietic specific signal transducer Vav1 is expressed in a subset of human neuroblastomas. The Journal of Pathology. 199(4). 526–533. 58 indexed citations
17.
Bar‐Shavit, Rachel, et al.. (2002). Signalling pathways induced by protease‐activated receptors and integrins in T cells. Immunology. 105(1). 35–46. 36 indexed citations
18.
Groysman, Maya, et al.. (2002). Vav1 and Ly-GDI Two Regulators of Rho GTPases, Function Cooperatively as Signal Transducers in T Cell Antigen Receptor-induced Pathways. Journal of Biological Chemistry. 277(51). 50121–50130. 63 indexed citations
19.
Groysman, Maya, et al.. (2000). Vav, a GDP/GTP nucleotide exchange factor, interacts with GDIs, proteins that inhibit GDP/GTP dissociation. FEBS Letters. 467(1). 75–80. 35 indexed citations
20.
Groysman, Maya, Makoto Nagano, Boaz Shaanan, & Shulamit Katzav. (1998). Mutagenic analysis of Vav reveals that an intact SH3 domain is required for transformation. Oncogene. 17(12). 1597–1606. 29 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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