Deana M. Apple

10 total papers · 622 total citations
8 papers, 488 citations indexed

About

Deana M. Apple is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Pharmacology. According to data from OpenAlex, Deana M. Apple has authored 8 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 2 papers in Pharmacology. Recurrent topics in Deana M. Apple's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Nerve injury and regeneration (2 papers). Deana M. Apple is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Nerve injury and regeneration (2 papers). Deana M. Apple collaborates with scholars based in United States and Czechia. Deana M. Apple's co-authors include Erzsebet Kokovay, Rene Solano Fonseca, Michael F. Salvatore, Swetha Mahesula, Astrid E. Cardona, Rekha Raghunathan, Jason C. O’Connor, Chang Zhu, Georgianna G. Gould and Lynette C. Daws and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

In The Last Decade

Deana M. Apple

8 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Deana M. Apple	166	160	159	122	66	8	488
Carmen Romero‐Grimaldi	223 1.3×	135 0.8×	171 1.1×	143 1.2×	49 0.7×	10	508
Denis Gallagher	118 0.7×	232 1.4×	98 0.6×	89 0.7×	39 0.6×	11	527
Laura Gritti	155 0.9×	207 1.3×	98 0.6×	143 1.2×	30 0.5×	6	501
Damijana Mojca Jurič	101 0.6×	134 0.8×	223 1.4×	149 1.2×	38 0.6×	17	493
Bruna Cuccurazzu	107 0.6×	94 0.6×	146 0.9×	129 1.1×	26 0.4×	11	458
Eisuke Haneda	109 0.7×	138 0.9×	269 1.7×	109 0.9×	30 0.5×	10	476
Joanne K. Morse	150 0.9×	116 0.7×	204 1.3×	98 0.8×	27 0.4×	8	489
Isabella Farhy-Tselnicker	123 0.7×	161 1.0×	238 1.5×	212 1.7×	19 0.3×	7	489
Vanessa Tortelli	133 0.8×	167 1.0×	195 1.2×	293 2.4×	39 0.6×	6	546
Chun‐Sheng Ruan	90 0.5×	121 0.8×	173 1.1×	119 1.0×	26 0.4×	13	477

Countries citing papers authored by Deana M. Apple

Since Specialization

Citations

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

Fields of papers citing papers by Deana M. Apple

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deana M. Apple. 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 Deana M. Apple. The network helps show where Deana M. Apple may publish in the future.

Co-authorship network of co-authors of Deana M. Apple

This figure shows the co-authorship network connecting the top 25 collaborators of Deana M. Apple. A scholar is included among the top collaborators of Deana M. Apple 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 Deana M. Apple. Deana M. Apple 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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