Rosa Q. So

63 total papers · 955 total citations
40 papers, 628 citations indexed

About

Rosa Q. So is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Rosa Q. So has authored 40 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 28 papers in Cognitive Neuroscience and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Rosa Q. So's work include Neuroscience and Neural Engineering (29 papers), EEG and Brain-Computer Interfaces (27 papers) and Neural dynamics and brain function (14 papers). Rosa Q. So is often cited by papers focused on Neuroscience and Neural Engineering (29 papers), EEG and Brain-Computer Interfaces (27 papers) and Neural dynamics and brain function (14 papers). Rosa Q. So collaborates with scholars based in Singapore, United States and Canada. Rosa Q. So's co-authors include Warren M. Grill, George C. McConnell, Alexander R. Kent, Dennis A. Turner, David T. Brocker, Brandon D. Swan, Robert E. Gross, Camilo Libedinsky, Kai Keng Ang and Cuntai Guan and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Journal of neurosurgery.

In The Last Decade

Rosa Q. So

39 papers receiving 622 citations

Author Peers

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

Author						Papers	Cites
Rosa Q. So	475	353	295	97	41	40	628
Jennifer A. Kim	246 0.5×	178 0.5×	238 0.8×	39 0.4×	28 0.7×	32	721
Peng Cong	478 1.0×	337 1.0×	309 1.0×	106 1.1×	54 1.3×	29	698
Alan Lai	302 0.6×	128 0.4×	475 1.6×	36 0.4×	101 2.5×	38	721
Morgan B. Lee	206 0.4×	179 0.5×	433 1.5×	30 0.3×	92 2.2×	17	645
Adam G. Rouse	349 0.7×	102 0.3×	455 1.5×	90 0.9×	23 0.6×	33	570
Guoming Luan	183 0.4×	126 0.4×	229 0.8×	32 0.3×	83 2.0×	60	618
Ying Yu	398 0.8×	278 0.8×	430 1.5×	99 1.0×	118 2.9×	49	757
Mariana P. Branco	459 1.0×	89 0.3×	653 2.2×	151 1.6×	17 0.4×	32	775
David J. Guggenmos	430 0.9×	119 0.3×	395 1.3×	166 1.7×	137 3.3×	36	679
Guosheng Yi	322 0.7×	74 0.2×	533 1.8×	127 1.3×	79 1.9×	90	720

Countries citing papers authored by Rosa Q. So

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Q. So

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Q. So. 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 Rosa Q. So. The network helps show where Rosa Q. So may publish in the future.

Co-authorship network of co-authors of Rosa Q. So

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Q. So. A scholar is included among the top collaborators of Rosa Q. So 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 Rosa Q. So. Rosa Q. So 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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