Jasmine Kwasa

463 total citations
11 papers, 242 citations indexed

About

Jasmine Kwasa is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jasmine Kwasa has authored 11 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Health, Toxicology and Mutagenesis and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jasmine Kwasa's work include Health, Environment, Cognitive Aging (4 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Jasmine Kwasa is often cited by papers focused on Health, Environment, Cognitive Aging (4 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Jasmine Kwasa collaborates with scholars based in United States and Canada. Jasmine Kwasa's co-authors include E. Kate Webb, Termara Parker, Avram J. Holmes, Elvisha Dhamala, Barbara Shinn‐Cunningham, Laura M. Marquardt, Shelly E. Sakiyama‐Elbert, Nithya Jesuraj, Hannah Peterson and Daniel E. Bradford and has published in prestigious journals such as Science, Nature Neuroscience and Brain Research.

In The Last Decade

Jasmine Kwasa

10 papers receiving 238 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jasmine Kwasa United States	7	129	51	30	30	27	11	242
Pascal Pas Netherlands	10	157 1.2×	46 0.9×	43 1.4×	22 0.7×	17 0.6×	15	259
Ashley C. Parr United States	11	146 1.1×	49 1.0×	44 1.5×	22 0.7×	40 1.5×	26	283
Mauro Muszkat Brazil	10	178 1.4×	35 0.7×	77 2.6×	13 0.4×	18 0.7×	48	418
Suzanne C. Swagerman Netherlands	9	167 1.3×	84 1.6×	35 1.2×	69 2.3×	8 0.3×	9	308
Chelsie E. Benca‐Bachman United States	9	116 0.9×	64 1.3×	54 1.8×	31 1.0×	16 0.6×	23	296
Max de Leeuw Netherlands	13	207 1.6×	68 1.3×	72 2.4×	68 2.3×	29 1.1×	24	380
René S. Kahn Netherlands	3	82 0.6×	33 0.6×	14 0.5×	51 1.7×	18 0.7×	3	258
Jewel Elias Crasta United States	8	149 1.2×	15 0.3×	48 1.6×	17 0.6×	6 0.2×	28	270
Nora Penzel Germany	10	142 1.1×	82 1.6×	70 2.3×	62 2.1×	26 1.0×	19	299
Jesús Adrián‐Ventura Spain	10	177 1.4×	60 1.2×	27 0.9×	32 1.1×	19 0.7×	26	301

Countries citing papers authored by Jasmine Kwasa

Since Specialization

Citations

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

Fields of papers citing papers by Jasmine Kwasa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmine Kwasa

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

All Works

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11 of 11 papers shown

Kwasa, Jasmine, et al.. (2024). Pilot Evaluation of Sevo Systems for Epilepsy: Equitable EEG for Coarse, Dense, and Curly Hair. PubMed. 2024. 1–7.

Kwasa, Jasmine. (2024). Untangling bias: Racial and phenotypic bias in neuroimaging methods must be addressed. Science. 386(6722). 631–632. 2 indexed citations

Kwasa, Jasmine, et al.. (2023). Demographic reporting and phenotypic exclusion in fNIRS. Frontiers in Neuroscience. 17. 1086208–1086208. 34 indexed citations

Parker, Termara, et al.. (2022). Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data. Nature Neuroscience. 26(1). 4–11. 65 indexed citations

Kwasa, Jasmine, et al.. (2022). Top-down auditory attention modulates neural responses more strongly in neurotypical than ADHD young adults. Brain Research. 1798. 148144–148144. 4 indexed citations

Bradford, Daniel E., Emily R. Perkins, Jasmine Kwasa, et al.. (2022). Whose Signals Are Being Amplified? Toward a More Equitable Clinical Psychophysiology. Clinical Psychological Science. 12(2). 237–252. 31 indexed citations

Webb, E. Kate, et al.. (2022). Addressing racial and phenotypic bias in human neuroscience methods. Nature Neuroscience. 25(4). 410–414. 61 indexed citations

Kwasa, Jasmine, et al.. (2022). Defining attention from an auditory perspective. Wiley Interdisciplinary Reviews Cognitive Science. 14(1). e1610–e1610. 12 indexed citations

Bressler, Scott, et al.. (2020). Effects of Visual Scene Complexity on Neural Signatures of Spatial Attention. Frontiers in Human Neuroscience. 14. 91–91. 10 indexed citations

10.

Jesuraj, Nithya, Laura M. Marquardt, Jasmine Kwasa, & Shelly E. Sakiyama‐Elbert. (2014). Glial cell line-derived neurotrophic factor promotes increased phenotypic marker expression in femoral sensory and motor-derived Schwann cell cultures. Experimental Neurology. 257. 10–18. 22 indexed citations

11.

Kwasa, Jasmine, et al.. (2013). eyeReader EEG Brain Computer Interface for Turning eBook Pages. Open Scholarship Institutional Repository (Washington University in St. Louis). 1 indexed citations

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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