Jasmine Song

11 total papers · 454 total citations
6 papers, 318 citations indexed

About

Jasmine Song is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jasmine Song has authored 6 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jasmine Song's work include EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Jasmine Song is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Jasmine Song collaborates with scholars based in United States. Jasmine Song's co-authors include Phan Luu, Don M. Tucker, Colin Davey, Catherine Poulsen, Sergei Turovets, Erik Anderson, Kai Li, Allen D. Malony, Mark Holmes and Fred Prior and has published in prestigious journals such as PLoS ONE, Journal of Neurology Neurosurgery & Psychiatry and Journal of Neuroscience Methods.

In The Last Decade

Jasmine Song

6 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Jasmine Song	277	54	49	34	30	6	318
Pearce Korb	180 0.6×	64 1.2×	37 0.8×	15 0.4×	27 0.9×	14	297
Trinidad Virues‐Alba	283 1.0×	44 0.8×	32 0.7×	33 1.0×	28 0.9×	7	345
Partha Thirumala	164 0.6×	53 1.0×	33 0.7×	15 0.4×	28 0.9×	9	286
Yousra Bekhti	296 1.1×	27 0.5×	26 0.5×	22 0.6×	31 1.0×	5	345
Liisa Helle	199 0.7×	24 0.4×	29 0.6×	48 1.4×	13 0.4×	13	272
Daniel Cassel	266 1.0×	80 1.5×	33 0.7×	35 1.0×	22 0.7×	12	351
Elham Barzegaran	230 0.8×	71 1.3×	37 0.8×	16 0.5×	32 1.1×	10	299
Rodrigo San-Martin	271 1.0×	70 1.3×	53 1.1×	11 0.3×	19 0.6×	9	362
Matt J. MacDonald	254 0.9×	39 0.7×	59 1.2×	22 0.6×	20 0.7×	13	355
Brenda R. Malcolm	285 1.0×	45 0.8×	21 0.4×	18 0.5×	21 0.7×	8	358

Countries citing papers authored by Jasmine Song

Since Specialization

Citations

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

Fields of papers citing papers by Jasmine Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmine Song

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