Go Okada

5.4k total citations · 1 hit paper
79 papers, 3.2k citations indexed

About

Go Okada is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Go Okada has authored 79 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 33 papers in Experimental and Cognitive Psychology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Go Okada's work include Functional Brain Connectivity Studies (46 papers), Mental Health Research Topics (24 papers) and Neural and Behavioral Psychology Studies (21 papers). Go Okada is often cited by papers focused on Functional Brain Connectivity Studies (46 papers), Mental Health Research Topics (24 papers) and Neural and Behavioral Psychology Studies (21 papers). Go Okada collaborates with scholars based in Japan, United States and United Kingdom. Go Okada's co-authors include Shigeto Yamawaki, Yasumasa Okamoto, Kazutaka Ueda, Kenji Doya, Saori Tanaka, Masahiro Takamura, Yoshihiko Kunisato, Keiichi Onoda, Hidehisa Yamashita and N. Yokota and has published in prestigious journals such as Nature Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Go Okada

77 papers receiving 3.1k 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.

Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops

2004 605 citations Saori Tanaka, Kenji Doya et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Go Okada Japan	31	2.0k	969	549	464	356	79	3.2k
Heather C. Abercrombie United States	26	2.1k 1.0×	826 0.9×	460 0.8×	422 0.9×	202 0.6×	48	3.6k
Stacey M. Schaefer United States	26	2.1k 1.0×	910 0.9×	439 0.8×	761 1.6×	282 0.8×	53	3.7k
Henry W. Chase United States	29	1.9k 0.9×	793 0.8×	577 1.1×	625 1.3×	231 0.6×	84	3.1k
Veronika Müller Germany	26	1.9k 0.9×	821 0.8×	436 0.8×	346 0.7×	393 1.1×	56	2.9k
Poornima Kumar United States	24	1.4k 0.7×	941 1.0×	471 0.9×	414 0.9×	205 0.6×	52	2.4k
Marie‐José van Tol Netherlands	39	2.5k 1.2×	1.4k 1.5×	868 1.6×	942 2.0×	594 1.7×	104	4.5k
Desmond J. Oathes United States	24	2.4k 1.2×	1.1k 1.1×	593 1.1×	621 1.3×	649 1.8×	61	3.6k
M. Justin Kim United States	22	1.5k 0.8×	775 0.8×	477 0.9×	540 1.2×	468 1.3×	48	2.7k
Andrew S. Fox United States	10	2.0k 1.0×	826 0.9×	427 0.8×	664 1.4×	215 0.6×	12	3.1k
Marina López‐Solà Spain	34	2.3k 1.2×	929 1.0×	866 1.6×	1.0k 2.3×	384 1.1×	66	3.7k

Countries citing papers authored by Go Okada

Since Specialization

Citations

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

Fields of papers citing papers by Go Okada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Go Okada

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Takamura, Masahiro, Go Okada, Miyuki Kato, et al.. (2023). Application of functional connectivity neurofeedback in patients with treatment-resistant depression: A preliminary report. Journal of Affective Disorders Reports. 14. 100644–100644. 1 indexed citations

Fermin, Alan S. R., T Maekawa, Hui-Ling Chan, et al.. (2023). Insula neuroanatomical networks predict interoceptive awareness. Heliyon. 9(8). e18307–e18307. 12 indexed citations

Yokoyama, Satoshi, et al.. (2022). Trace of depression: Network structure of depressive symptoms in different clinical conditions. European Psychiatry. 65(1). 1–30. 5 indexed citations

Fermin, Alan S. R., Toko Kiyonari, Yoshie Matsumoto, et al.. (2022). The neuroanatomy of social trust predicts depression vulnerability. Scientific Reports. 12(1). 16724–16724. 8 indexed citations

Nakano, T., Masahiro Takamura, Haruki Nishimura, et al.. (2021). Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training. NeuroImage. 245. 118733–118733. 3 indexed citations

Yoshino, Atsuo, Yasumasa Okamoto, Go Okada, et al.. (2020). Importance of the Habenula for Avoidance Learning Including Contextual Cues in the Human Brain: A Preliminary fMRI Study. Frontiers in Human Neuroscience. 14. 165–165. 10 indexed citations

Mori, Asako, Manfred Klöbl, Go Okada, et al.. (2019). Predicting Ventral Striatal Activation During Reward Anticipation From Functional Connectivity at Rest. Frontiers in Human Neuroscience. 13. 289–289. 3 indexed citations

Yoshimoto, Junichiro, Yu Shimizu, Go Okada, et al.. (2018). Identification of depression subtypes and relevant brain regions using a data-driven approach. Scientific Reports. 8(1). 14082–14082. 93 indexed citations

Mori, Asako, Yasumasa Okamoto, Go Okada, et al.. (2018). Effects of behavioural activation on the neural circuit related to intrinsic motivation. BJPsych Open. 4(5). 317–323. 10 indexed citations

10.

Yoshino, Atsuo, Yasumasa Okamoto, Mitsuru Doi, et al.. (2017). Regional brain functions in the resting state indicative of potential differences between depression and chronic pain. Scientific Reports. 7(1). 3003–3003. 13 indexed citations

11.

Shimizu, Yu, Junichiro Yoshimoto, Masahiro Takamura, et al.. (2017). Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression. PLoS ONE. 12(7). e0179638–e0179638. 51 indexed citations

12.

Yokoyama, Satoshi, Yasumasa Okamoto, Koki Takagaki, et al.. (2017). Effects of behavioral activation on default mode network connectivity in subthreshold depression: A preliminary resting-state fMRI study. Journal of Affective Disorders. 227. 156–163. 25 indexed citations

13.

Matsuo, Koji, Kenichiro Harada, Yusuke Fujita, et al.. (2017). Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder. Cerebral Cortex. 29(1). 202–214. 44 indexed citations

14.

Kaichi, Yoko, Go Okada, Masahiro Takamura, et al.. (2016). Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder. Journal of Affective Disorders. 194. 135–143. 36 indexed citations

15.

Sean, T., James L. Abelson, Go Okada, Stephan F. Taylor, & Israel Liberzon. (2016). Neural circuitry of emotion regulation: Effects of appraisal, attention, and cortisol administration. Cognitive Affective & Behavioral Neuroscience. 17(2). 437–451. 53 indexed citations

16.

Yoshimura, Shinpei, Yasumasa Okamoto, Miki Matsunaga, et al.. (2016). Cognitive behavioral therapy changes functional connectivity between medial prefrontal and anterior cingulate cortices. Journal of Affective Disorders. 208. 610–614. 30 indexed citations

17.

Yoshimura, Shinpei, Yasumasa Okamoto, Keiichi Onoda, et al.. (2013). Cognitive behavioral therapy for depression changes medial prefrontal and ventral anterior cingulate cortex activity associated with self-referential processing. Social Cognitive and Affective Neuroscience. 9(4). 487–493. 147 indexed citations

18.

Takami, Hiroshi, Yasumasa Okamoto, Hidehisa Yamashita, Go Okada, & Shigeto Yamawaki. (2007). Attenuated Anterior Cingulate Activation During a Verbal Fluency Task in Elderly Patients With a History of Multiple-Episode Depression. American Journal of Geriatric Psychiatry. 15(7). 594–603. 36 indexed citations

19.

Tanaka, Saori, Kazuyuki Samejima, Go Okada, et al.. (2006). Brain mechanism of reward prediction under predictable and unpredictable environmental dynamics. Neural Networks. 19(8). 1233–1241. 58 indexed citations

20.

Tanaka, Saori, Kenji Doya, Go Okada, et al.. (2003). Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales. Neural Information Processing Systems. 16. 701–708. 2 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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