Mona Buhusi

1.2k total citations
39 papers, 983 citations indexed

About

Mona Buhusi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Mona Buhusi has authored 39 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 8 papers in Molecular Biology. Recurrent topics in Mona Buhusi's work include Neuroscience and Music Perception (12 papers), Neural dynamics and brain function (7 papers) and Nerve injury and regeneration (7 papers). Mona Buhusi is often cited by papers focused on Neuroscience and Music Perception (12 papers), Neural dynamics and brain function (7 papers) and Nerve injury and regeneration (7 papers). Mona Buhusi collaborates with scholars based in United States, Switzerland and France. Mona Buhusi's co-authors include Patricia F. Maness, Catalin V. Buhusi, Vann Bennett, Shmuel Tuvia, Ann‐Charlotte Granholm, Catalin V. Buhusi, Sorinel A. Oprisan, Lydia H. Davis, Mary C. Reedy and Galina P. Demyanenko and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Mona Buhusi

36 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mona Buhusi United States 17 387 351 206 154 147 39 983
Manja Schubert Germany 17 487 1.3× 659 1.9× 281 1.4× 118 0.8× 91 0.6× 23 1.2k
Catia C. Proenca Switzerland 13 321 0.8× 326 0.9× 214 1.0× 61 0.4× 155 1.1× 18 935
Michael G. Garelick United States 9 679 1.8× 404 1.2× 243 1.2× 149 1.0× 91 0.6× 9 1.2k
Evelyne Ruchti Switzerland 8 396 1.0× 400 1.1× 80 0.4× 174 1.1× 112 0.8× 12 871
Catharina E.E.M. Van der Zee Netherlands 19 510 1.3× 412 1.2× 102 0.5× 191 1.2× 160 1.1× 27 1.1k
Ezekiel P. Carpenter‐Hyland United States 11 429 1.1× 615 1.8× 231 1.1× 93 0.6× 99 0.7× 14 929
Bing Lang China 20 621 1.6× 354 1.0× 100 0.5× 124 0.8× 133 0.9× 65 1.1k
J.J. Barski Poland 17 522 1.3× 478 1.4× 111 0.5× 164 1.1× 110 0.7× 51 1.1k
Agnieszka Bałkowiec United States 15 309 0.8× 735 2.1× 119 0.6× 245 1.6× 286 1.9× 19 1.2k
Luxiang Cao United States 11 401 1.0× 300 0.9× 79 0.4× 141 0.9× 53 0.4× 14 724

Countries citing papers authored by Mona Buhusi

Since Specialization
Citations

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

Fields of papers citing papers by Mona Buhusi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Buhusi

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Buhusi. A scholar is included among the top collaborators of Mona Buhusi 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 Mona Buhusi. Mona Buhusi 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.
Buhusi, Mona, et al.. (2024). NrCAM-deficient mice exposed to chronic stress exhibit disrupted latent inhibition, a hallmark of schizophrenia. Frontiers in Behavioral Neuroscience. 18. 1373556–1373556. 1 indexed citations
2.
Buhusi, Catalin V., Sorinel A. Oprisan, & Mona Buhusi. (2023). The future of integrative neuroscience: The big questions. Frontiers in Integrative Neuroscience. 17. 1113238–1113238. 4 indexed citations
3.
Buhusi, Catalin V. & Mona Buhusi. (2022). A timely glimpse of memories to come. Learning & Behavior. 51(2). 125–126. 1 indexed citations
4.
Buhusi, Catalin V., et al.. (2022). mPFC catecholamines modulate attentional capture by appetitive distracters and attention to time in a peak-interval procedure in rats.. Behavioral Neuroscience. 136(5). 418–429. 1 indexed citations
5.
Buhusi, Catalin V., et al.. (2022). Not All Mice Are Created Equal: Interval Timing Accuracy and Scalar Timing in 129, Swiss-Webster, and C57BL/6 Mice. Timing & Time Perception. 11(1-4). 242–262.
6.
Buhusi, Catalin V., Sorinel A. Oprisan, & Mona Buhusi. (2018). Biological and Cognitive Frameworks for a Mental Timeline. Frontiers in Neuroscience. 12. 377–377. 11 indexed citations
7.
Oprisan, Sorinel A., Mona Buhusi, & Catalin V. Buhusi. (2018). A Population-Based Model of the Temporal Memory in the Hippocampus. Frontiers in Neuroscience. 12. 521–521. 9 indexed citations
8.
Buhusi, Catalin V., et al.. (2018). Inactivation of the Medial-Prefrontal Cortex Impairs Interval Timing Precision, but Not Timing Accuracy or Scalar Timing in a Peak-Interval Procedure in Rats. Frontiers in Integrative Neuroscience. 12. 20–20. 20 indexed citations
9.
Buhusi, Mona, et al.. (2017). Impaired Latent Inhibition in GDNF-Deficient Mice Exposed to Chronic Stress. Frontiers in Behavioral Neuroscience. 11. 177–177. 6 indexed citations
10.
Buhusi, Mona, et al.. (2017). Increased Hippocampal ProBDNF Contributes to Memory Impairments in Aged Mice. Frontiers in Aging Neuroscience. 9. 284–284. 52 indexed citations
11.
12.
Buhusi, Mona, et al.. (2017). Increased temporal discounting after chronic stress in CHL1-deficient mice is reversed by 5-HT2C agonist Ro 60-0175. Neuroscience. 357. 110–118. 9 indexed citations
13.
Buhusi, Mona, et al.. (2016). Stress-Induced Executive Dysfunction in GDNF-Deficient Mice, A Mouse Model of Parkinsonism. Frontiers in Behavioral Neuroscience. 10. 114–114. 8 indexed citations
14.
Iulita, M. Florencia, Sonia Do Carmo, Alison Ower, et al.. (2014). Nerve growth factor metabolic dysfunction in Down’s syndrome brains. Brain. 137(3). 860–872. 66 indexed citations
15.
Dai, Jinxia, Jasbir Dalal, Mark Henkemeyer, et al.. (2012). EphB regulates L1 phosphorylation during retinocollicular mapping. Molecular and Cellular Neuroscience. 50(2). 201–210. 12 indexed citations
16.
Tang, Peter H., Mona Buhusi, Jian‐xing Ma, & Rosalie K. Crouch. (2011). RPE65 Is Present in Human Green/Red Cones and Promotes Photopigment Regeneration in anIn VitroCone Cell Model. Journal of Neuroscience. 31(50). 18618–18626. 38 indexed citations
17.
Buhusi, Mona, et al.. (2009). ALCAM Regulates Mediolateral Retinotopic Mapping in the Superior Colliculus. Journal of Neuroscience. 29(50). 15630–15641. 39 indexed citations
18.
Zaman, Vandana, Heather A. Boger, Ann‐Charlotte Granholm, et al.. (2008). The nigrostriatal dopamine system of aging GFRα‐1 heterozygous mice: neurochemistry, morphology and behavior. European Journal of Neuroscience. 28(8). 1557–1568. 25 indexed citations
19.
Panicker, Anitha K., Mona Buhusi, Ann H. Erickson, & Pin‐Ching Maness. (2005). Endocytosis of β1 integrins is an early event in migration promoted by the cell adhesion molecule L1. Experimental Cell Research. 312(3). 299–307. 44 indexed citations
20.
Buhusi, Mona, et al.. (2003). Close Homolog of L1 Is an Enhancer of Integrin-mediated Cell Migration. Journal of Biological Chemistry. 278(27). 25024–25031. 84 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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