Caroline Dias

63 total papers · 4.9k total citations
19 papers, 987 citations indexed

About

Caroline Dias is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Caroline Dias has authored 19 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Caroline Dias's work include Genetics and Neurodevelopmental Disorders (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Caroline Dias is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Caroline Dias collaborates with scholars based in United States, Canada and Italy. Caroline Dias's co-authors include Eric J. Nestler, Scott J. Russo, Carol A. Tamminga, Pamela Kennedy, Rachael L. Neve, Subroto Ghose, Sam A. Golden, Alfred J. Robison, Michael E. Cahill and Gustavo Turecki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Caroline Dias

18 papers receiving 979 citations

Author Peers

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

Author Last Decade Papers Cites
Caroline Dias 496 420 216 190 177 19 987
Galit Shaltiel 533 1.1× 316 0.8× 240 1.1× 120 0.6× 142 0.8× 29 1.2k
Yoshinori N. Ohnishi 575 1.2× 546 1.3× 188 0.9× 246 1.3× 263 1.5× 17 1.2k
Olivia Engmann 438 0.9× 374 0.9× 146 0.7× 126 0.7× 142 0.8× 30 943
Ekrem Maloku 642 1.3× 335 0.8× 337 1.6× 160 0.8× 165 0.9× 12 1.1k
Adrian Zhubi 593 1.2× 305 0.7× 369 1.7× 186 1.0× 173 1.0× 13 1.1k
Angélica Torres‐Berrío 316 0.6× 357 0.8× 114 0.5× 236 1.2× 207 1.2× 33 999
Fabio Pibiri 358 0.7× 391 0.9× 156 0.7× 356 1.9× 188 1.1× 17 1.1k
Dianne A. Cruz 386 0.8× 446 1.1× 114 0.5× 174 0.9× 212 1.2× 25 1.0k
Sabrina Fritzen 331 0.7× 468 1.1× 167 0.8× 144 0.8× 148 0.8× 12 1.1k
Florian Duclot 447 0.9× 270 0.6× 225 1.0× 303 1.6× 206 1.2× 24 1.2k

Countries citing papers authored by Caroline Dias

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Dias. A scholar is included among the top collaborators of Caroline Dias 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 Caroline Dias. Caroline Dias 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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