Yu Katsuyama

2.8k total citations · 1 hit paper
51 papers, 2.2k citations indexed

About

Yu Katsuyama is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu Katsuyama has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Developmental Neuroscience and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu Katsuyama's work include Neurogenesis and neuroplasticity mechanisms (18 papers), Axon Guidance and Neuronal Signaling (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Yu Katsuyama is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (18 papers), Axon Guidance and Neuronal Signaling (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Yu Katsuyama collaborates with scholars based in Japan, Croatia and Bosnia and Herzegovina. Yu Katsuyama's co-authors include Xi He, Yoichi Kato, Chunming Liu, Keiko Tamai, Rebecca Spokony, Fred Hess, Jean‐Pierre Saint‐Jeannet, Mikhail A. Semenov, Toshio Terashima and Anders M. Näär and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Yu Katsuyama

46 papers receiving 2.2k citations

Hit Papers

LDL-receptor-related proteins in Wnt signal transduction 2000 2026 2008 2017 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Katsuyama Japan 15 1.6k 349 338 276 267 51 2.2k
Rajini Srinivasan United States 22 1.4k 0.9× 437 1.3× 242 0.7× 251 0.9× 246 0.9× 26 2.0k
Florian A. Siebzehnrübl United Kingdom 25 1.2k 0.8× 297 0.9× 195 0.6× 314 1.1× 448 1.7× 45 2.1k
Dorit Donoviel United States 22 1.8k 1.1× 370 1.1× 373 1.1× 332 1.2× 181 0.7× 37 2.8k
Raja Kittappa United States 11 1.2k 0.8× 458 1.3× 185 0.5× 439 1.6× 175 0.7× 16 1.7k
Akinori Tokunaga Japan 21 1.5k 0.9× 220 0.6× 215 0.6× 425 1.5× 367 1.4× 32 1.9k
Chuntao Zhao United States 24 1.3k 0.8× 354 1.0× 274 0.8× 540 2.0× 453 1.7× 38 2.0k
Andrée Gauthier-Fisher Canada 17 892 0.5× 310 0.9× 233 0.7× 486 1.8× 156 0.6× 34 1.5k
Raffaella Scardigli Italy 21 1.9k 1.1× 549 1.6× 264 0.8× 652 2.4× 215 0.8× 42 2.4k
Carol Hicks United States 13 1.6k 1.0× 410 1.2× 237 0.7× 358 1.3× 200 0.7× 14 2.3k
Ki‐Jun Yoon South Korea 20 1.4k 0.9× 177 0.5× 184 0.5× 291 1.1× 357 1.3× 42 1.8k

Countries citing papers authored by Yu Katsuyama

Since Specialization
Citations

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

Fields of papers citing papers by Yu Katsuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Katsuyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Katsuyama. A scholar is included among the top collaborators of Yu Katsuyama 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 Katsuyama. Yu Katsuyama 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.
Filipović, Natalija, et al.. (2025). Expression Pattern of Dab1, Reelin, PGP9.5 and Sox2 in the Stomach of Yotari (Dab1−/−) Mice. Genes. 16(9). 1013–1013.
2.
Furutani, Naoki, Yuki Saito, Yasutaka Niwa, et al.. (2025). Utility of complexity analysis in electroencephalography and electromyography for automated classification of sleep-wake states in mice. Scientific Reports. 15(1). 3080–3080. 1 indexed citations
3.
Katsuyama, Yu, et al.. (2025). How do neurons live long and healthy? The mechanism of neuronal genome integrity. Frontiers in Neuroscience. 19. 1552790–1552790. 1 indexed citations
4.
Znaor, Ljubo, Mirna Saraga‐Babić, Natalija Filipović, et al.. (2024). Connexin Expression Is Altered in the Eye Development of Yotari Mice: A Preliminary Study. Biomolecules. 14(9). 1174–1174.
5.
Haque, Ejazul, et al.. (2024). Autophagy markers expression pattern in developing liver of the yotari (dab1 -/-) mice and humans. Acta Histochemica. 127(1). 152224–152224.
6.
Haque, Ejazul, et al.. (2023). Immunoexpression Pattern of Autophagy Markers in Developing and Postnatal Kidneys of Dab1−/−(yotari) Mice. Biomolecules. 13(3). 402–402. 8 indexed citations
7.
Katsuyama, Yu, et al.. (2023). Genomic variation in neurons. Development Growth & Differentiation. 66(1). 35–42. 3 indexed citations
9.
Šoljić, Violeta, et al.. (2022). The Interplay of Cx26, Cx32, Cx37, Cx40, Cx43, Cx45, and Panx1 in Inner-Ear Development of Yotari (dab1−/−) Mice and Humans. Biomedicines. 10(3). 589–589. 2 indexed citations
10.
Katsuyama, Yu, et al.. (2022). Immunohistochemical Expression Pattern of FGFR1, FGFR2, RIP5, and HIP2 in Developing and Postnatal Kidneys of Dab1−/− (yotari) Mice. International Journal of Molecular Sciences. 23(4). 2025–2025. 6 indexed citations
12.
Donato, Vincenzo Di, Miki Takeuchi, Yoshikatsu Sato, et al.. (2019). Role of Reelin in cell positioning in the cerebellum and the cerebellum-like structure in zebrafish. Developmental Biology. 455(2). 393–408. 17 indexed citations
13.
Watanabe, Koichiro, et al.. (2019). Age-related dysfunction of the DNA damage response in intestinal stem cells. Inflammation and Regeneration. 39(1). 8–8. 16 indexed citations
14.
Watanabe, Koichiro, et al.. (2018). Functional similarities of microRNAs across different types of tissue stem cells in aging. Inflammation and Regeneration. 38(1). 9–9. 4 indexed citations
15.
Sonoshita, Masahiro, Yoshiro Itatani, Fumihiko Kakizaki, et al.. (2014). Promotion of Colorectal Cancer Invasion and Metastasis through Activation of NOTCH–DAB1–ABL–RHOGEF Protein TRIO. Cancer Discovery. 5(2). 198–211. 82 indexed citations
16.
Yoshihara, Yasuo, et al.. (2010). Cortical layer V neurons in the auditory and visual cortices of normal, reeler, and yotari mice.. PubMed. 56(2). E50–9. 10 indexed citations
17.
Katsuyama, Yu & Toshio Terashima. (2009). Developmental anatomy of reeler mutant mouse. Development Growth & Differentiation. 51(3). 271–286. 51 indexed citations
18.
Katsuyama, Yu, et al.. (2007). Expression of zebrafish ROR alpha gene in cerebellar‐like structures. Developmental Dynamics. 236(9). 2694–2701. 17 indexed citations
19.
Baba, Kousuke, et al.. (2006). A mouse homologue of Strawberry Notch is transcriptionally regulated by Reelin signal. Biochemical and Biophysical Research Communications. 350(4). 842–849. 11 indexed citations
20.
NISHIKAWA, Tomozo, et al.. (1974). Preparation of Alkali-substituted β -Alumina by lmmersion in Aqueous Solution of Alkali Hydroxides. NIPPON KAGAKU KAISHI. 1048–1052. 5 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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