Ippeita Dan

12.1k total citations · 8 hit papers
127 papers, 8.8k citations indexed

About

Ippeita Dan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Ippeita Dan has authored 127 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cognitive Neuroscience, 47 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Biomedical Engineering. Recurrent topics in Ippeita Dan's work include Optical Imaging and Spectroscopy Techniques (45 papers), Functional Brain Connectivity Studies (35 papers) and EEG and Brain-Computer Interfaces (23 papers). Ippeita Dan is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (45 papers), Functional Brain Connectivity Studies (35 papers) and EEG and Brain-Computer Interfaces (23 papers). Ippeita Dan collaborates with scholars based in Japan, United States and United Kingdom. Ippeita Dan's co-authors include Daisuke Tsuzuki, Masako Okamoto, Valer Jurcak, Haruka Dan, Archana Singh, Norinobu Watanabe, Akihiro Kusumi, Yasushi Kyutoku, Archana Singh and Hideaki Soya and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ippeita Dan

124 papers receiving 8.7k citations

Hit Papers

10/20, 10/10, and 10/5 systems revisited: Their validity ... 2001 2026 2009 2017 2007 2003 2005 2001 2007 250 500 750 1000
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.

  1. 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems
    2007 1.1k citations Valer Jurcak, Daisuke Tsuzuki et al. NeuroImage profile →
  2. Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping
    2003 1.1k citations Masako Okamoto, Haruka Dan et al. NeuroImage profile →
  3. Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI
    2005 579 citations Archana Singh, Masako Okamoto et al. NeuroImage profile →
  4. The Ste20 group kinases as regulators of MAP kinase cascades
    2001 528 citations Ippeita Dan et al. profile →
  5. Virtual spatial registration of stand-alone fNIRS data to MNI space
    2007 507 citations Daisuke Tsuzuki, Valer Jurcak et al. NeuroImage profile →
  6. Acute moderate exercise elicits increased dorsolateral prefrontal activation and improves cognitive performance with Stroop test
    2009 461 citations Hiroki Yanagisawa, Ippeita Dan et al. NeuroImage profile →
  7. Positive effect of acute mild exercise on executive function via arousal-related prefrontal activations: An fNIRS study
    2014 314 citations Ippeita Dan, Hideaki Soya et al. NeuroImage profile →
  8. Anatomical guidance for functional near-infrared spectroscopy: AtlasViewer tutorial
    2015 297 citations Daisuke Tsuzuki, Ippeita Dan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ippeita Dan Japan 42 4.4k 2.9k 1.8k 1.5k 835 127 8.8k
Ann‐Christine Ehlis Germany 53 5.3k 1.2× 2.7k 0.9× 1.8k 1.1× 1.2k 0.8× 1.8k 2.1× 231 9.1k
Monica Fabiani United States 58 8.1k 1.8× 1.8k 0.6× 685 0.4× 1.3k 0.9× 638 0.8× 165 11.2k
Masako Okamoto Japan 25 2.1k 0.5× 1.5k 0.5× 882 0.5× 761 0.5× 350 0.4× 68 4.4k
Karen D. Davis Canada 75 8.3k 1.9× 1.7k 0.6× 1.4k 0.8× 243 0.2× 3.0k 3.5× 242 18.0k
Martin Wiesmann Germany 49 1.9k 0.4× 1.1k 0.4× 301 0.2× 790 0.5× 796 1.0× 280 8.4k
Fabrizio Esposito Italy 54 6.8k 1.5× 2.1k 0.7× 345 0.2× 285 0.2× 1.8k 2.1× 258 11.9k
José V. Pardo United States 37 5.5k 1.2× 534 0.2× 571 0.3× 638 0.4× 1000 1.2× 82 9.0k
Shen‐Hsing Annabel Chen Singapore 37 2.8k 0.6× 633 0.2× 1.2k 0.7× 426 0.3× 479 0.6× 119 6.0k
Chiang‐Shan R. Li United States 59 8.9k 2.0× 1.2k 0.4× 683 0.4× 290 0.2× 1.6k 1.9× 338 13.1k
Nicola Toschi Italy 45 1.8k 0.4× 1.5k 0.5× 624 0.4× 371 0.3× 872 1.0× 246 7.1k

Countries citing papers authored by Ippeita Dan

Since Specialization
Citations

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

Fields of papers citing papers by Ippeita Dan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippeita Dan

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

All Works

20 of 20 papers shown
1.
Kyutoku, Yasushi, et al.. (2025). Psychological Factors that Influence Behavioral Intentions towards Bottled Green Tea in the Japanese Market. International Journal of Affective Engineering. 24(1). 103–114. 1 indexed citations
2.
Kyutoku, Yasushi, et al.. (2025). Deconstructing the Psychological Factors behind Brand Perceptions of Bottled Japanese Green Tea in Competitive Japanese Market. International Journal of Affective Engineering. 24(1). 115–127. 1 indexed citations
3.
Minami, Yuko, et al.. (2023). Exploring Japanese Consumers’ Motivators Related to Eating Soy Meat. International Journal of Affective Engineering. 22(2). 137–144. 1 indexed citations
4.
Kim, MinWoo, Seon‐Jin Lee, Ippeita Dan, & Sungho Tak. (2022). A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS. Journal of Neural Engineering. 19(1). 16017–16017. 13 indexed citations
5.
Dan, Ippeita, et al.. (2021). A Willingness-to-Pay Associated Right Prefrontal Activation During a Single, Real Use of Lipsticks as Assessed Using Functional Near-Infrared Spectroscopy. SHILAP Revista de lepidopterología. 2. 731160–731160. 4 indexed citations
6.
7.
Ishii, Rie, et al.. (2019). Biases in paired preference tests: Cross‐cultural comparison of Japanese and American consumers. Journal of Sensory Studies. 34(3). 3 indexed citations
8.
9.
Tak, Sungho, Minako Uga, Guillaume Flandin, Ippeita Dan, & W.D. Penny. (2016). Sensor space group analysis for fNIRS data. Journal of Neuroscience Methods. 264. 103–112. 56 indexed citations
10.
Matsui, Mié, Fumitaka Homae, Daisuke Tsuzuki, et al.. (2014). Referential framework for transcranial anatomical correspondence for fNIRS based on manually traced sulci and gyri of an infant brain. Neuroscience Research. 80. 55–68. 26 indexed citations
11.
Dan, Haruka, Ippeita Dan, Yasushi Kyutoku, et al.. (2013). Language-specific cortical activation patterns for verbal fluency tasks in Japanese as assessed by multichannel functional near-infrared spectroscopy. Brain and Language. 126(2). 208–216. 22 indexed citations
12.
Masuda, Tomohiro, Atsushi Kimura, Ippeita Dan, & Yuji Wada. (2011). Effects of environmental context on temporal perception bias in apparent motion. Vision Research. 51(15). 1728–1740. 7 indexed citations
13.
Nemoto, Kiyotaka, Ippeita Dan, Chris Rorden, et al.. (2011). Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis. BMC Medical Imaging. 11(1). 3–3. 28 indexed citations
14.
Tsuzuki, Daisuke, Dongsheng Cai, Haruka Dan, et al.. (2011). Stable and convenient spatial registration of stand-alone NIRS data through anchor-based probabilistic registration. Neuroscience Research. 72(2). 163–171. 69 indexed citations
15.
Okamoto, Masako, et al.. (2009). Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration. Clinical Neurophysiology. 120(7). 1320–1328. 42 indexed citations
16.
Yanagisawa, Hiroki, Hideaki Soya, & Ippeita Dan. (2009). Effect of Duration of Acute Moderate Exercise on Exercise-elicited Cortical Activation and Cognitive Performance on Stroop Task: a Preliminary Examination. 3(2). 111–132. 2 indexed citations
17.
Wada, Yuji, Daisuke Tsuzuki, Kaoru Kohyama, & Ippeita Dan. (2008). Effect of illusory thermal sensation on hardness perception(Summary of Awarded Presentation at the 26th Annual Meeting). 27(1). 117–118. 1 indexed citations
18.
Okamoto, Masako & Ippeita Dan. (2007). Functional near-infrared spectroscopy for human brain mapping of taste-related cognitive functions. Journal of Bioscience and Bioengineering. 103(3). 207–215. 19 indexed citations
19.
Jurcak, Valer, Masako Okamoto, Archana Singh, & Ippeita Dan. (2005). Virtual 10–20 measurement on MR images for inter-modal linking of transcranial and tomographic neuroimaging methods. NeuroImage. 26(4). 1184–1192. 60 indexed citations
20.
Okamoto, Masako & Ippeita Dan. (2005). Automated cortical projection of head-surface locations for transcranial functional brain mapping. NeuroImage. 26(1). 18–28. 210 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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