Rieko Ajima

2.4k total citations
29 papers, 1.6k citations indexed

About

Rieko Ajima is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rieko Ajima has authored 29 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rieko Ajima's work include Wnt/β-catenin signaling in development and cancer (9 papers), Developmental Biology and Gene Regulation (8 papers) and Congenital heart defects research (6 papers). Rieko Ajima is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (9 papers), Developmental Biology and Gene Regulation (8 papers) and Congenital heart defects research (6 papers). Rieko Ajima collaborates with scholars based in Japan, United States and Czechia. Rieko Ajima's co-authors include Terry P. Yamaguchi, Hiroyuki Miyoshi, Thaddeus S. Stappenbeck, Yumiko Saga, Masato T. Kanemaki, Hirofumi Nakaoka, Yusuke Tominari, Kanae Gamo, Naomi Kitamoto and Ken‐ichiro Hayashi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Rieko Ajima

28 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rieko Ajima Japan 17 1.2k 291 221 208 196 29 1.6k
Tristan R. McKay United Kingdom 25 1.1k 0.9× 384 1.3× 248 1.1× 132 0.6× 118 0.6× 60 1.8k
Stefanie Kutsch Germany 9 1.3k 1.1× 318 1.1× 160 0.7× 146 0.7× 184 0.9× 9 1.8k
Oréda Boussadia Germany 10 1.4k 1.2× 255 0.9× 217 1.0× 107 0.5× 174 0.9× 10 1.7k
Suzanne M. Sebald United States 8 1.1k 0.9× 184 0.6× 225 1.0× 240 1.2× 205 1.0× 9 1.5k
Ramona Pop United States 22 1.4k 1.2× 288 1.0× 95 0.4× 138 0.7× 98 0.5× 31 1.9k
Jeong Kyo Yoon United States 28 1.9k 1.6× 489 1.7× 232 1.0× 119 0.6× 289 1.5× 43 2.3k
Diana C. Blaydon United Kingdom 18 846 0.7× 293 1.0× 272 1.2× 155 0.7× 169 0.9× 29 1.6k
Oran Ayalon Israel 11 1.0k 0.9× 168 0.6× 434 2.0× 276 1.3× 141 0.7× 13 1.6k
Dierk Ingelfinger Germany 11 2.0k 1.7× 235 0.8× 224 1.0× 121 0.6× 217 1.1× 11 2.3k

Countries citing papers authored by Rieko Ajima

Since Specialization
Citations

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

Fields of papers citing papers by Rieko Ajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rieko Ajima

This figure shows the co-authorship network connecting the top 25 collaborators of Rieko Ajima. A scholar is included among the top collaborators of Rieko Ajima 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 Rieko Ajima. Rieko Ajima 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.
Masuda, Aki, Kazuhiko Nishida, Rieko Ajima, et al.. (2024). A global gene regulatory program and its region-specific regulator partition neurons into commissural and ipsilateral projection types. Science Advances. 10(21). eadk2149–eadk2149. 4 indexed citations
2.
Masuda, Wataru, Rieko Ajima, Katsuya Miyake, et al.. (2023). TM2D3, a mammalian homologue of Drosophila neurogenic gene product Almondex, regulates surface presentation of Notch receptors. Scientific Reports. 13(1). 20913–20913.
3.
Kim, Jessica, et al.. (2022). The RNA helicase DDX6 controls early mouse embryogenesis by repressing aberrant inhibition of BMP signaling through miRNA-mediated gene silencing. PLoS Genetics. 18(10). e1009967–e1009967. 15 indexed citations
4.
Kubo, Fumi, Hirofumi Nakaoka, Rieko Ajima, et al.. (2022). Spontaneous activity in whisker-innervating region of neonatal mouse trigeminal ganglion. Scientific Reports. 12(1). 16311–16311. 6 indexed citations
5.
6.
Saito, Yuichiro, Naomi Kitamoto, Rieko Ajima, et al.. (2020). The auxin-inducible degron 2 technology provides sharp degradation control in yeast, mammalian cells, and mice. Nature Communications. 11(1). 5701–5701. 266 indexed citations
7.
Gao, Bo, Rieko Ajima, Wei Yang, et al.. (2018). Coordinated directional outgrowth and pattern formation by integration of Wnt5a and Fgf signaling in planar cell polarity. Development. 145(8). 44 indexed citations
8.
Ajima, Rieko, Emiko Suzuki, & Yumiko Saga. (2017). Pofut1 point-mutations that disrupt O-fucosyltransferase activity destabilize the protein and abolish Notch1 signaling during mouse somitogenesis. PLoS ONE. 12(11). e0187248–e0187248. 14 indexed citations
9.
Minegishi, Katsura, Masakazu Hashimoto, Rieko Ajima, et al.. (2017). A Wnt5 Activity Asymmetry and Intercellular Signaling via PCP Proteins Polarize Node Cells for Left-Right Symmetry Breaking. Developmental Cell. 40(5). 439–452.e4. 76 indexed citations
10.
Ding, Li, Tanvi Sinha, Rieko Ajima, et al.. (2016). Spatial regulation of cell cohesion by Wnt5a during second heart field progenitor deployment. Developmental Biology. 412(1). 18–31. 29 indexed citations
11.
Zhao, Wei, Rieko Ajima, Y Ninomiya, & Yumiko Saga. (2015). Segmental border is defined by Ripply2-mediated Tbx6 repression independent of Mesp2. Developmental Biology. 400(1). 105–117. 21 indexed citations
12.
Ajima, Rieko, Masa‐aki Nakaya, Raymond Habas, et al.. (2015). DAAM1 and DAAM2 are co-required for myocardial maturation and sarcomere assembly. Developmental Biology. 408(1). 126–139. 42 indexed citations
13.
Cha, Jeeyeon, Amanda Bartos, Xiaofei Sun, et al.. (2014). Appropriate Crypt Formation in the Uterus for Embryo Homing and Implantation Requires Wnt5a-ROR Signaling. Cell Reports. 8(2). 382–392. 106 indexed citations
14.
Miyoshi, Hiroyuki, et al.. (2012). Wnt5a Potentiates TGF-β Signaling to Promote Colonic Crypt Regeneration After Tissue Injury. Science. 338(6103). 108–113. 348 indexed citations
15.
Tanigawa, Shunsuke, Honghe Wang, Yili Yang, et al.. (2011). Wnt4 induces nephronic tubules in metanephric mesenchyme by a non-canonical mechanism. Developmental Biology. 352(1). 58–69. 87 indexed citations
16.
Chalamalasetty, Ravindra B., William C. Dunty, Kristin K. Biris, et al.. (2011). The Wnt3a/β-catenin target gene Mesogenin1 controls the segmentation clock by activating a Notch signalling program. Nature Communications. 2(1). 390–390. 52 indexed citations
17.
Stefater, James A., Ian Lewkowich, Sujata Rao, et al.. (2011). Regulation of angiogenesis by a non-canonical Wnt–Flt1 pathway in myeloid cells. Nature. 474(7352). 511–515. 226 indexed citations
18.
Bryja, Vı́tězslav, Gunnar Schulte, Panagiotis Papachristou, et al.. (2010). Vang-like protein 2 and Rac1 interact to regulate adherens junctions. Journal of Cell Science. 123(3). 472–483. 44 indexed citations
19.
Ajima, Rieko, Hiroshi Akazawa, M. Kodama, et al.. (2008). Deficiency of Myo18B in mice results in embryonic lethality with cardiac myofibrillar aberrations. Genes to Cells. 13(10). 987–999. 49 indexed citations
20.
Inoue, Takeshi, Takahide Kon, Rieko Ajima, et al.. (2006). MYO18B interacts with the proteasomal subunit Sug1 and is degraded by the ubiquitin–proteasome pathway. Biochemical and Biophysical Research Communications. 342(3). 829–834. 10 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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