Daiki Kasai

574 total citations · 1 hit paper
6 papers, 310 citations indexed

About

Daiki Kasai is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daiki Kasai has authored 6 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in General Health Professions and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daiki Kasai's work include Sports Performance and Training (2 papers), Obesity, Physical Activity, Diet (2 papers) and Children's Physical and Motor Development (2 papers). Daiki Kasai is often cited by papers focused on Sports Performance and Training (2 papers), Obesity, Physical Activity, Diet (2 papers) and Children's Physical and Motor Development (2 papers). Daiki Kasai collaborates with scholars based in Australia and United Kingdom. Daiki Kasai's co-authors include Henry T Blake, Rosa Virgara, Alyson Crozier, Rachel Curtis, Tim Olds, Ty Ferguson, Carol Maher, Dorothea Dumuid, Kylie A. Dankiw and Edward J. O’Connor and has published in prestigious journals such as Sports Medicine, European Journal of Applied Physiology and Health & Social Care in the Community.

In The Last Decade

Daiki Kasai

6 papers receiving 306 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses

2022 245 citations Ty Ferguson, Tim Olds et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daiki Kasai Australia	6	133	96	53	46	36	6	310
Henry T Blake Australia	5	142 1.1×	110 1.1×	56 1.1×	68 1.5×	36 1.0×	10	375
Azliyana Azizan Malaysia	8	152 1.1×	60 0.6×	55 1.0×	30 0.7×	21 0.6×	47	364
Xijuan Luo China	3	161 1.2×	75 0.8×	96 1.8×	34 0.7×	25 0.7×	4	337
Suzan Sayegh Qatar	9	184 1.4×	77 0.8×	122 2.3×	32 0.7×	22 0.6×	20	321
Roberto M. Benzo United States	9	132 1.0×	79 0.8×	75 1.4×	22 0.5×	31 0.9×	26	268
Annika Lena Neuhaus Germany	6	113 0.8×	75 0.8×	80 1.5×	31 0.7×	16 0.4×	9	309
Matteo C. Sattler Austria	10	139 1.0×	50 0.5×	155 2.9×	34 0.7×	26 0.7×	17	332
Sarah L. Mullane United States	9	258 1.9×	139 1.4×	135 2.5×	56 1.2×	36 1.0×	19	400
John Xerri de Malta	4	144 1.1×	64 0.7×	57 1.1×	35 0.8×	15 0.4×	13	237
Boris A. Brühmann Germany	7	204 1.5×	103 1.1×	180 3.4×	39 0.8×	29 0.8×	18	377

Countries citing papers authored by Daiki Kasai

Since Specialization

Citations

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

Fields of papers citing papers by Daiki Kasai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Kasai

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

All Works

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6 of 6 papers shown

1.

Ferguson, Ty, Tim Olds, Rachel Curtis, et al.. (2022). Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. The Lancet Digital Health. 4(8). e615–e626. 245 indexed citations breakdown →

2.

Kasai, Daiki, Margarita D. Tsiros, Roger Eston, & Gaynor Parfitt. (2022). Ratings of perceived exertion from a submaximal 20-m shuttle run test predict peak oxygen uptake in children and the test feels better. European Journal of Applied Physiology. 123(1). 103–111. 5 indexed citations

3.

Jesudason, Shilpanjali, et al.. (2022). Exercise or physical activity-related adverse events in people receiving peritoneal dialysis: A systematic review. Peritoneal Dialysis International. 42(5). 447–459. 7 indexed citations

4.

Fraysse, François, et al.. (2021). Physical Activity Intensity Cut-Points for Wrist-Worn GENEActiv in Older Adults. Frontiers in Sports and Active Living. 2. 579278–579278. 27 indexed citations

5.

Agteren, Joep van, Daiki Kasai, Matthew Doyle, et al.. (2021). Caring for carers: Understanding the physical and psychological well‐being of carers of veterans in Australia. Health & Social Care in the Community. 30(3). e793–e803. 6 indexed citations

6.

Kasai, Daiki, et al.. (2020). The Use of Ratings of Perceived Exertion in Children and Adolescents: A Scoping Review. Sports Medicine. 51(1). 33–50. 20 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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