Danielle Guez‐Barber

19 total papers · 824 total citations
12 papers, 625 citations indexed

About

Danielle Guez‐Barber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Danielle Guez‐Barber has authored 12 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Danielle Guez‐Barber's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neonatal and fetal brain pathology (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Danielle Guez‐Barber is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neonatal and fetal brain pathology (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Danielle Guez‐Barber collaborates with scholars based in United States, Canada and United Kingdom. Danielle Guez‐Barber's co-authors include Bruce T. Hope, Jennifer M. Bossert, Eisuke Koya, Brandon K. Harvey, Yavin Shaham, Carl R. Lupica, Fábio Cardoso Cruz, Sanya Fanous, Sam A. Golden and Marina R. Picciotto and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Danielle Guez‐Barber

11 papers receiving 621 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danielle Guez‐Barber 429 269 248 80 56 12 625
Rolinka J. van der Loo 395 0.9× 234 0.9× 316 1.3× 109 1.4× 69 1.2× 17 696
Wiebke Nissen 502 1.2× 195 0.7× 341 1.4× 91 1.1× 52 0.9× 14 663
Catriona M. Houston 436 1.0× 241 0.9× 258 1.0× 86 1.1× 39 0.7× 15 648
Maximiliano José Nigro 388 0.9× 277 1.0× 294 1.2× 78 1.0× 30 0.5× 16 636
Ting‐Jia Lu 375 0.9× 270 1.0× 219 0.9× 107 1.3× 75 1.3× 13 745
Lena A. Khibnik 425 1.0× 224 0.8× 215 0.9× 48 0.6× 98 1.8× 8 603
Tara Wright 386 0.9× 175 0.7× 217 0.9× 43 0.5× 57 1.0× 11 575
Keith Tully 346 0.8× 169 0.6× 305 1.2× 53 0.7× 89 1.6× 9 677
Manavu Tohmi 286 0.7× 173 0.6× 245 1.0× 52 0.7× 59 1.1× 17 604
Pavel Pakhotin 517 1.2× 391 1.5× 221 0.9× 63 0.8× 58 1.0× 18 791

Countries citing papers authored by Danielle Guez‐Barber

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Guez‐Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Guez‐Barber. 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 Danielle Guez‐Barber. The network helps show where Danielle Guez‐Barber may publish in the future.

Co-authorship network of co-authors of Danielle Guez‐Barber

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

All Works

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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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2026