Takako Kikkawa

826 total citations
30 papers, 539 citations indexed

About

Takako Kikkawa is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Takako Kikkawa has authored 30 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Developmental Neuroscience. Recurrent topics in Takako Kikkawa's work include Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Takako Kikkawa is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (6 papers) and Epigenetics and DNA Methylation (6 papers). Takako Kikkawa collaborates with scholars based in Japan, United States and Thailand. Takako Kikkawa's co-authors include Noriko Osumi, Hitoshi Inada, Masanori Takahashi, Yukio Sasaki, Kaichi Yoshizaki, Kotaro Hiraoka, Tewarit Sarachana, Valerie W. Hu, Surangrat Thongkorn and Nobuyuki Sakayori and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Development.

In The Last Decade

Takako Kikkawa

29 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takako Kikkawa Japan 14 304 159 71 64 62 30 539
Gabriela G. Cezar United States 10 608 2.0× 129 0.8× 82 1.2× 49 0.8× 69 1.1× 12 946
Dorota A. Crawford Canada 13 195 0.6× 102 0.6× 115 1.6× 24 0.4× 38 0.6× 17 470
Yue Cui United States 11 356 1.2× 294 1.8× 94 1.3× 39 0.6× 37 0.6× 15 558
Laura S. Lubbers United States 17 223 0.7× 247 1.6× 36 0.5× 50 0.8× 21 0.3× 35 822
In Tag Yu South Korea 9 232 0.8× 140 0.9× 66 0.9× 51 0.8× 228 3.7× 10 687
Atom J. Lesiak United States 11 205 0.7× 73 0.5× 67 0.9× 35 0.5× 43 0.7× 21 564
Derek Drake United States 6 508 1.7× 123 0.8× 30 0.4× 29 0.5× 75 1.2× 11 907
Jeffrey J. Moffat United States 10 231 0.8× 139 0.9× 79 1.1× 24 0.4× 42 0.7× 15 398
Francesco Rusconi Italy 15 428 1.4× 105 0.7× 26 0.4× 27 0.4× 23 0.4× 22 663
V.M. Miller United States 13 107 0.4× 69 0.4× 122 1.7× 25 0.4× 36 0.6× 18 486

Countries citing papers authored by Takako Kikkawa

Since Specialization
Citations

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

Fields of papers citing papers by Takako Kikkawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Kikkawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takako Kikkawa. A scholar is included among the top collaborators of Takako Kikkawa 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 Takako Kikkawa. Takako Kikkawa 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.
Kikkawa, Takako, Yohei Minakuchi, Satoshi Miyashita, et al.. (2025). A Transcriptomic Dataset of Embryonic Murine Telencephalon of Fmr1-Deficient Mice. Scientific Data. 12(1). 927–927.
2.
3.
Kikkawa, Takako, et al.. (2024). A Transcriptomic Dataset of Embryonic Murine Telencephalon. Scientific Data. 11(1). 586–586. 2 indexed citations
4.
Iemura, Kenji, Satoshi Miyashita, Mikio Hoshino, et al.. (2024). Kinesin-like motor protein KIF23 maintains neural stem and progenitor cell pools in the developing cortex. The EMBO Journal. 44(2). 331–355. 5 indexed citations
5.
Thongkorn, Surangrat, Depicha Jindatip, Valerie W. Hu, et al.. (2024). Sex-specific impacts of prenatal bisphenol A exposure on genes associated with cortical development, social behaviors, and autism in the offspring’s prefrontal cortex. Biology of Sex Differences. 15(1). 40–40. 7 indexed citations
6.
Kikkawa, Takako, et al.. (2023). Investigating the impact of paternal aging on murine sperm miRNA profiles and their potential link to autism spectrum disorder. Scientific Reports. 13(1). 20608–20608. 5 indexed citations
7.
Kikkawa, Takako, et al.. (2022). Thirty Years’ History since the Discovery of Pax6: From Central Nervous System Development to Neurodevelopmental Disorders. International Journal of Molecular Sciences. 23(11). 6115–6115. 28 indexed citations
8.
Inada, Hitoshi, et al.. (2022). The subcommissural organ maintains features of neuroepithelial cells in the adult mouse. Journal of Anatomy. 241(3). 820–830. 6 indexed citations
9.
Kanatsu‐Shinohara, Mito, Naoki Honda, Takashi Tanaka, et al.. (2022). Regulation of male germline transmission patterns by the Trp53-Cdkn1a pathway. Stem Cell Reports. 17(9). 1924–1941. 1 indexed citations
10.
Yoshizaki, Kaichi, Ryuichi Kimura, Hisato Kobayashi, et al.. (2021). Paternal age affects offspring via an epigenetic mechanism involving REST/NRSF. EMBO Reports. 22(2). e51524–e51524. 49 indexed citations
11.
Thongkorn, Surangrat, Depicha Jindatip, Valerie W. Hu, et al.. (2021). Autism-Related Transcription Factors Underlying the Sex-Specific Effects of Prenatal Bisphenol A Exposure on Transcriptome-Interactome Profiles in the Offspring Prefrontal Cortex. International Journal of Molecular Sciences. 22(24). 13201–13201. 29 indexed citations
12.
Thongkorn, Surangrat, Depicha Jindatip, Valerie W. Hu, et al.. (2021). Sex differences in the effects of prenatal bisphenol A exposure on autism-related genes and their relationships with the hippocampus functions. Scientific Reports. 11(1). 1241–1241. 44 indexed citations
13.
14.
Yoshikawa, Takeo, et al.. (2020). Chronic brain histamine depletion in adult mice induced depression-like behaviours and impaired sleep-wake cycle. Neuropharmacology. 175. 108179–108179. 29 indexed citations
15.
Kikkawa, Takako, et al.. (2018). The role of Pax6 in brain development and its impact on pathogenesis of autism spectrum disorder. Brain Research. 1705. 95–103. 38 indexed citations
16.
Hiraoka, Kotaro, Akira Sumiyoshi, Hiroi Nonaka, et al.. (2016). Regional Volume Decreases in the Brain of Pax6 Heterozygous Mutant Rats: MRI Deformation-Based Morphometry. PLoS ONE. 11(6). e0158153–e0158153. 11 indexed citations
17.
Ueharu, Hiroki, Saishu Yoshida, Takako Kikkawa, et al.. (2016). Gene tracing analysis reveals the contribution of neural crest‐derived cells in pituitary development. Journal of Anatomy. 230(3). 373–380. 26 indexed citations
18.
Sakayori, Nobuyuki, Takako Kikkawa, Hisanori Tokuda, et al.. (2015). Maternal dietary imbalance between omega-6 and omega-3 polyunsaturated fatty acids impairs neocortical development via epoxy metabolites. Stem Cells. 34(2). 470–482. 54 indexed citations
19.
Takahashi, Masanori, et al.. (2014). Preparation of Rat Serum Suitable for Mammalian Whole Embryo Culture. Journal of Visualized Experiments. e51969–e51969. 23 indexed citations
20.
Kikkawa, Takako, et al.. (2013). Dmrta1 regulates proneural gene expression downstream of Pax6 in the mammalian telencephalon. Genes to Cells. 18(8). 636–649. 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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2026