Rachel Babij

980 total citations
19 papers, 700 citations indexed

About

Rachel Babij is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Rachel Babij has authored 19 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Neurology and 7 papers in Cognitive Neuroscience. Recurrent topics in Rachel Babij's work include Neuroscience and Neuropharmacology Research (10 papers), Neurological disorders and treatments (10 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Rachel Babij is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neurological disorders and treatments (10 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Rachel Babij collaborates with scholars based in United States and France. Rachel Babij's co-authors include Etty Cortés, Elan D. Louis, Phyllis L. Faust, Michelle Lee, Jean-Paul G. Vonsattel, Karen Ma, Jean‐Paul G. Vonsattel, Natalia V. De Marco García, Alicia Che and Conor Liston and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rachel Babij

19 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Babij United States 14 488 398 139 116 58 19 700
Aurélie Méneret France 14 195 0.4× 240 0.6× 45 0.3× 159 1.4× 68 1.2× 46 704
Arin Pamukcu United States 7 299 0.6× 140 0.4× 79 0.6× 106 0.9× 22 0.4× 7 450
Lena E. Hjermind Denmark 18 403 0.8× 388 1.0× 30 0.2× 405 3.5× 52 0.9× 47 904
Eleanor Grant United Kingdom 8 207 0.4× 118 0.3× 142 1.0× 110 0.9× 9 0.2× 8 412
Jin‐Young Koh United States 12 187 0.4× 131 0.3× 59 0.4× 233 2.0× 13 0.2× 24 543
RoseAnn Berlin United States 13 227 0.5× 84 0.2× 89 0.6× 157 1.4× 182 3.1× 16 704
Jeffrey Politsky United States 6 255 0.5× 209 0.5× 192 1.4× 121 1.0× 4 0.1× 6 493
Dervila Glynn United Kingdom 9 276 0.6× 113 0.3× 32 0.2× 248 2.1× 35 0.6× 14 483
Robert S. Raike United States 15 500 1.0× 401 1.0× 49 0.4× 225 1.9× 13 0.2× 28 659
Vicki Wheelock United States 12 230 0.5× 332 0.8× 170 1.2× 131 1.1× 16 0.3× 21 563

Countries citing papers authored by Rachel Babij

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Babij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Babij

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Babij. A scholar is included among the top collaborators of Rachel Babij 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 Rachel Babij. Rachel Babij is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Babij, Rachel, A. Buch, Hongtao Ma, et al.. (2022). Gabrb3 is required for the functional integration of pyramidal neuron subtypes in the somatosensory cortex. Neuron. 111(2). 256–274.e10. 17 indexed citations
2.
Cheng, Du, Rachel Babij, Daniel Cabrera, et al.. (2022). Effective Low-Cost Ophthalmological Screening With a Novel iPhone Fundus Camera at Community Centers. Cureus. 14(8). e28121–e28121. 2 indexed citations
3.
Fetcho, Robert N., Delaney K. Fischer, Baila S. Hall, et al.. (2019). Correction: Cocaine- and stress-primed reinstatement of drug-associated memories elicit differential behavioral and frontostriatal circuit activity patterns via recruitment of L-type Ca2+ channels. Molecular Psychiatry. 25(10). 2642–2642. 1 indexed citations
4.
Mòdol, Laura, Thomas Tressard, Agnès Baude, et al.. (2019). Assemblies of Perisomatic GABAergic Neurons in the Developing Barrel Cortex. Neuron. 105(1). 93–105.e4. 52 indexed citations
5.
Che, Alicia, Laura Mòdol, Rachel Babij, et al.. (2019). GABAergic Restriction of Network Dynamics Regulates Interneuron Survival in the Developing Cortex. Neuron. 105(1). 75–92.e5. 70 indexed citations
6.
Fetcho, Robert N., Delaney K. Fischer, Baila S. Hall, et al.. (2019). Cocaine- and stress-primed reinstatement of drug-associated memories elicit differential behavioral and frontostriatal circuit activity patterns via recruitment of L-type Ca2+ channels. Molecular Psychiatry. 25(10). 2373–2391. 13 indexed citations
7.
Che, Alicia, Rachel Babij, Robert N. Fetcho, et al.. (2018). Layer I Interneurons Sharpen Sensory Maps during Neonatal Development. Neuron. 99(1). 98–116.e7. 60 indexed citations
8.
Babij, Rachel, et al.. (2016). Neuronal activity controls the development of interneurons in the somatosensory cortex. Frontiers in Biology. 11(6). 459–470. 13 indexed citations
9.
Perumal, Jai & Rachel Babij. (2015). Comparative efficacy of alemtuzumab and established treatment in the management of multiple sclerosis. Neuropsychiatric Disease and Treatment. 11. 1221–1221. 6 indexed citations
10.
Louis, Elan D., Michelle Lee, Rachel Babij, et al.. (2014). Reduced Purkinje cell dendritic arborization and loss of dendritic spines in essential tremor. Brain. 137(12). 3142–3148. 102 indexed citations
11.
Babij, Rachel, et al.. (2014). Odd harvest. Neurology. 82(2). 184–186. 1 indexed citations
12.
Babij, Rachel, Michelle Lee, Etty Cortés, et al.. (2013). Purkinje cell axonal anatomy: quantifying morphometric changes in essential tremor versus control brains. Brain. 136(10). 3051–3061. 144 indexed citations
13.
Louis, Elan D., Rachel Babij, Etty Cortés, Jean‐Paul G. Vonsattel, & Phyllis L. Faust. (2013). The inferior olivary nucleus: A postmortem study of essential tremor cases versus controls. Movement Disorders. 28(6). 779–786. 51 indexed citations
14.
Louis, Elan D., Rachel Babij, Michelle Lee, Etty Cortés, & Jean‐Paul G. Vonsattel. (2013). Quantification of cerebellar hemispheric purkinje cell linear density: 32 ET cases versus 16 controls. Movement Disorders. 28(13). 1854–1859. 59 indexed citations
15.
Ma, Karen, Rachel Babij, Etty Cortés, Jean‐Paul G. Vonsattel, & Elan D. Louis. (2012). Cerebellar Pathology of a Dual Clinical Diagnosis: Patients with Essential Tremor and Dystonia. Tremor and Other Hyperkinetic Movements. 2(0). 12–12. 12 indexed citations
16.
Kuo, Sheng‐Han, Guomei Tang, Karen Ma, et al.. (2012). Macroautophagy Abnormality in Essential Tremor. PLoS ONE. 7(12). e53040–e53040. 14 indexed citations
17.
Louis, Elan D., Karen Ma, Rachel Babij, et al.. (2012). Neurofilament protein levels: Quantitative analysis in essential tremor cerebellar cortex. Neuroscience Letters. 518(1). 49–54. 23 indexed citations
18.
Louis, Elan D., Rachel Babij, Karen Ma, Etty Cortés, & Jean-Paul G. Vonsattel. (2012). Essential Tremor Followed by Progressive Supranuclear Palsy: Postmortem Reports of 11 Patients. Journal of Neuropathology & Experimental Neurology. 72(1). 8–17. 40 indexed citations
19.
Ma, Karen, Rachel Babij, Etty Cortés, Jean‐Paul G. Vonsattel, & Elan D. Louis. (2012). Cerebellar Pathology of a Dual Clinical Diagnosis: Patients with Essential Tremor and Dystonia. SHILAP Revista de lepidopterología. 2. 20 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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