Saki Amagai

420 total citations · 1 hit paper
9 papers, 201 citations indexed

About

Saki Amagai is a scholar working on Experimental and Cognitive Psychology, General Health Professions and Applied Psychology. According to data from OpenAlex, Saki Amagai has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Experimental and Cognitive Psychology, 2 papers in General Health Professions and 2 papers in Applied Psychology. Recurrent topics in Saki Amagai's work include Dementia and Cognitive Impairment Research (2 papers), Identity, Memory, and Therapy (1 paper) and Meta-analysis and systematic reviews (1 paper). Saki Amagai is often cited by papers focused on Dementia and Cognitive Impairment Research (2 papers), Identity, Memory, and Therapy (1 paper) and Meta-analysis and systematic reviews (1 paper). Saki Amagai collaborates with scholars based in United States and Philippines. Saki Amagai's co-authors include Richard Gershon, Cindy J. Nowinski, Aaron J. Kaat, Sarah Pila, Rina S. Fox, Manrui Zhang, Corinne H. Miller, Julie N. Hook, Edward F. Vonesh and John Devin Peipert and has published in prestigious journals such as Neurology, Journal of Medical Internet Research and Journal of Clinical and Experimental Neuropsychology.

In The Last Decade

Saki Amagai

9 papers receiving 196 citations

Hit Papers

Challenges in Participant Engagement and Retention Using ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saki Amagai United States 4 92 69 31 29 20 9 201
Sumathy Ravi Australia 3 148 1.6× 136 2.0× 57 1.8× 18 0.6× 37 1.9× 6 327
Maciej Hyzy United Kingdom 3 66 0.7× 36 0.5× 14 0.5× 15 0.5× 16 0.8× 4 164
Robin Chatters United Kingdom 9 98 1.1× 21 0.3× 45 1.5× 34 1.2× 22 1.1× 22 294
Soyun Hong South Korea 10 71 0.8× 53 0.8× 68 2.2× 22 0.8× 58 2.9× 21 262
Fawad Taj Pakistan 9 85 0.9× 51 0.7× 40 1.3× 80 2.8× 16 0.8× 13 344
Peter Hoang Canada 7 104 1.1× 65 0.9× 63 2.0× 20 0.7× 25 1.3× 24 287
Peter Gamble United Kingdom 5 128 1.4× 132 1.9× 32 1.0× 46 1.6× 37 1.9× 5 317
Cynthia M. Khan United States 10 54 0.6× 67 1.0× 69 2.2× 10 0.3× 55 2.8× 17 383
Lucy Kervin Canada 6 83 0.9× 35 0.5× 50 1.6× 27 0.9× 41 2.0× 15 286
David Dias Neto Portugal 7 43 0.5× 55 0.8× 94 3.0× 16 0.6× 29 1.4× 36 183

Countries citing papers authored by Saki Amagai

Since Specialization
Citations

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

Fields of papers citing papers by Saki Amagai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saki Amagai

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

All Works

9 of 9 papers shown
1.
Young, S., Miriam A. Novack, Aaron J. Kaat, et al.. (2024). Development and Validation the Mobile Toolbox (MTB) Spelling Test. The Journal of Prevention of Alzheimer s Disease. 11(6). 1673–1681. 1 indexed citations
2.
Amagai, Saki, Edward F. Vonesh, James G. Adams, & Yuan Luo. (2024). Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era. npj Digital Medicine. 7(1). 217–217. 3 indexed citations
3.
Rentz, Dorene M., Jerry Slotkin, Aaron J. Kaat, et al.. (2024). Validity and reliability of the Mobile Toolbox Faces and Names memory test. Journal of Neuropsychology. 19(2). 390–396. 2 indexed citations
4.
Novack, Miriam A., Aaron J. Kaat, Cindy J. Nowinski, et al.. (2024). Development and validation of an episodic memory measure in the Mobile Toolbox (MTB): Arranging Pictures. Journal of Clinical and Experimental Neuropsychology. 46(4). 364–373. 3 indexed citations
5.
Rentz, Dorene M., et al.. (2023). Face Name Associative Memory Exam and biomarker status in the ARMADA study: Advancing reliable measurement in Alzheimer's disease and cognitive aging. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(3). e12473–e12473. 7 indexed citations
6.
Amagai, Saki, Sarah Pila, Aaron J. Kaat, Cindy J. Nowinski, & Richard Gershon. (2022). Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research. 24(4). e35120–e35120. 157 indexed citations breakdown →
7.
Curtis, Laura M., Saki Amagai, Julia Yoshino Benavente, et al.. (2022). Validation of MyCog: A Self-Administered Rapid Detection Tool for Cognitive Impairment in Everyday Clinical Settings (P14-3.001). Neurology. 98(18_supplement). 1 indexed citations
8.
Fox, Rina S., Manrui Zhang, Saki Amagai, et al.. (2022). Uses of the NIH Toolbox® in Clinical Samples. Neurology Clinical Practice. 12(4). 307–319. 26 indexed citations
9.
Kaat, Aaron J., Sarah Pila, Cindy J. Nowinski, et al.. (2022). Initial Validity Evidence for the Mobile Toolbox (MTB): A Completely Remote Platform for Cognitive Research (P13-3.005). Neurology. 98(18_supplement). 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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