Yu Takagi

586 total citations · 1 hit paper
10 papers, 243 citations indexed

About

Yu Takagi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yu Takagi has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yu Takagi's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Yu Takagi is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Yu Takagi collaborates with scholars based in Japan, United Kingdom and Netherlands. Yu Takagi's co-authors include Shinji Nishimoto, Saori Tanaka, Yoshinari Abe, Yuki Sakai, Seiji Nishida, Jin Narumoto, Ignacio Martínez‐Zalacaín, Ben J. Harrison, Carles Soriano‐Mas and Miriam C. Klein-Flügge and has published in prestigious journals such as Nature Communications, NeuroImage and Scientific Reports.

In The Last Decade

Yu Takagi

9 papers receiving 237 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.

High-resolution image reconstruction with latent diffusion models from human brain activity

2023 93 citations Yu Takagi, Shinji Nishimoto profile →

Peers

Yu Takagi

CN

ECP

CVPR

CP

RNMI

Petra Hermann Hungary

Tao Tu United States

Javid Dadashkarimi United States

Byung-Hoon Kim South Korea

Corbin A. Cunningham United States

Soheil Keshmiri Japan

Shengwen Guo China

Christian Morillas Spain

Manjari Narayan United States

Lena J. Skalaban United States

Petra Hermann Hungary

Yu Takagi

208 ×1.4

CN

52 ×1.1

ECP

27 ×0.7

CVPR

21 ×0.6

CP

71 ×2.1

RNMI

Citations per year, relative to Yu Takagi Yu Takagi (= 1×) peers Petra Hermann

Countries citing papers authored by Yu Takagi

Since Specialization

Citations

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

Fields of papers citing papers by Yu Takagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Takagi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Takagi. A scholar is included among the top collaborators of Yu Takagi 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 Yu Takagi. Yu Takagi 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:

10 of 10 papers shown

1.

Inui, Kentaro, et al.. (2025). How a Bilingual LM Becomes Bilingual: Tracing Internal Representations with Sparse Autoencoders. 13458–13470. 1 indexed citations

2.

Takagi, Yu, et al.. (2025). Cross-modal deep generative models reveal the cortical representation of dancing. Nature Communications. 16(1). 9937–9937.

3.

Matsuyama, Takuya, et al.. (2024). Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models. 20313–20338. 1 indexed citations

4.

Takagi, Yu & Shinji Nishimoto. (2023). High-resolution image reconstruction with latent diffusion models from human brain activity. 14453–14463. 93 indexed citations breakdown →

5.

Klein-Flügge, Miriam C., Daria E. A. Jensen, Yu Takagi, et al.. (2022). Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans. Nature Human Behaviour. 6(12). 1705–1722. 31 indexed citations

6.

Takagi, Yu, Laurence T. Hunt, Mark W. Woolrich, Timothy E.J. Behrens, & Miriam C. Klein-Flügge. (2021). Adapting non-invasive human recordings along multiple task-axes shows unfolding of spontaneous and over-trained choice. eLife. 10. 9 indexed citations

7.

Takagi, Yu, Naohiro Okada, Shuntaro Ando, et al.. (2021). Intergenerational transmission of the patterns of functional and structural brain networks. iScience. 24(7). 102708–102708. 5 indexed citations

8.

Takagi, Yu, Jun-ichiro Hirayama, & Saori Tanaka. (2019). State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits. NeuroImage. 201. 116036–116036. 8 indexed citations

9.

Takagi, Yu, Yuki Sakai, Yoshinari Abe, et al.. (2018). A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity. NeuroImage. 172. 506–516. 52 indexed citations

10.

Takagi, Yu, Yuki Sakai, Giuseppe Lisi, et al.. (2017). A Neural Marker of Obsessive-Compulsive Disorder from Whole-Brain Functional Connectivity. Scientific Reports. 7(1). 7538–7538. 43 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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