Daniela Babovic

772 total citations
7 papers, 618 citations indexed

About

Daniela Babovic is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Daniela Babovic has authored 7 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Daniela Babovic's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neurological disorders and treatments (2 papers). Daniela Babovic is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neurological disorders and treatments (2 papers). Daniela Babovic collaborates with scholars based in Ireland, Australia and Germany. Daniela Babovic's co-authors include John L. Waddington, David T. Croke, Colm O’Tuathaigh, Jeremiah J. Clifford, Gerard J. O’Sullivan, Orna Tighe, Martine Daoust, Catherine Ledent, Hakim Houchi and Mickaël Naassïla and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuroscience and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Daniela Babovic

7 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Babovic Ireland 7 374 252 153 111 80 7 618
Danièle Verrier France 11 369 1.0× 203 0.8× 118 0.8× 65 0.6× 103 1.3× 13 836
Morten S. Thomsen Denmark 21 351 0.9× 731 2.9× 133 0.9× 53 0.5× 61 0.8× 36 976
Nicole Lewandowski United States 8 340 0.9× 345 1.4× 52 0.3× 73 0.7× 195 2.4× 10 744
Alexandre Bacq France 10 179 0.5× 203 0.8× 48 0.3× 130 1.2× 35 0.4× 14 515
Alipi V. Naydenov United States 16 381 1.0× 260 1.0× 197 1.3× 79 0.7× 119 1.5× 18 751
Rebecca E. Horton United States 7 309 0.8× 193 0.8× 38 0.2× 35 0.3× 52 0.7× 9 477
Marco Peters United Kingdom 12 286 0.8× 261 1.0× 76 0.5× 53 0.5× 150 1.9× 18 541
Eva Drews Germany 14 225 0.6× 121 0.5× 184 1.2× 25 0.2× 152 1.9× 18 616
Manabu Takaki Japan 13 309 0.8× 244 1.0× 163 1.1× 85 0.8× 78 1.0× 23 626
M. P. Malloy United Kingdom 12 234 0.6× 733 2.9× 130 0.8× 373 3.4× 103 1.3× 13 1.0k

Countries citing papers authored by Daniela Babovic

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Babovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Babovic

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

All Works

7 of 7 papers shown
1.
Babovic, Daniela, Ilse Gantois, Andrew J. Lawrence, et al.. (2009). Age-related behavioural phenotype and cellular characterisation of mice with progressive ablation of D1 dopamine receptor-expressing cells. Behavioural Brain Research. 206(1). 78–87. 11 indexed citations
2.
Babovic, Daniela, Colm O’Tuathaigh, Gerard J. O’Sullivan, et al.. (2008). Phenotypic characterization of cognition and social behavior in mice with heterozygous versus homozygous deletion of catechol-O-methyltransferase. Neuroscience. 155(4). 1021–1029. 62 indexed citations
3.
Babovic, Daniela, Colm O’Tuathaigh, Gerard J. O’Sullivan, et al.. (2007). Exploratory and habituation phenotype of heterozygous and homozygous COMT knockout mice. Behavioural Brain Research. 183(2). 236–239. 35 indexed citations
4.
O’Tuathaigh, Colm, Daniela Babovic, Gerard J. O’Sullivan, et al.. (2007). Phenotypic characterization of spatial cognition and social behavior in mice with ‘knockout’ of the schizophrenia risk gene neuregulin 1. Neuroscience. 147(1). 18–27. 183 indexed citations
5.
Gantois, Ilse, Ke Fang, Daniela Babovic, et al.. (2007). Ablation of D1 dopamine receptor-expressing cells generates mice with seizures, dystonia, hyperactivity, and impaired oral behavior. Proceedings of the National Academy of Sciences. 104(10). 4182–4187. 54 indexed citations
6.
O’Tuathaigh, Colm, Daniela Babovic, Gillian F. O’Meara, et al.. (2006). Susceptibility genes for schizophrenia: Characterisation of mutant mouse models at the level of phenotypic behaviour. Neuroscience & Biobehavioral Reviews. 31(1). 60–78. 116 indexed citations
7.
Houchi, Hakim, Daniela Babovic, Olivier Pierrefiche, et al.. (2004). CB1 Receptor Knockout Mice Display Reduced Ethanol-Induced Conditioned Place Preference and Increased Striatal Dopamine D2 Receptors. Neuropsychopharmacology. 30(2). 339–349. 157 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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