Masako Kawada

6.1k total citations · 3 hit papers
21 papers, 4.6k citations indexed

About

Masako Kawada is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Masako Kawada has authored 21 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Masako Kawada's work include Developmental Biology and Gene Regulation (7 papers), Evolution and Genetic Dynamics (5 papers) and Neuroscience and Neural Engineering (4 papers). Masako Kawada is often cited by papers focused on Developmental Biology and Gene Regulation (7 papers), Evolution and Genetic Dynamics (5 papers) and Neuroscience and Neural Engineering (4 papers). Masako Kawada collaborates with scholars based in Japan, United States and Spain. Masako Kawada's co-authors include Yoshiki Sasai, Mototsugu Eiraku, Nozomu Takata, Kiyotoshi Sekiguchi, Keiko Muguruma, Shigenobu Yonemura, Satoru Okuda, Taiji ADACHI, Hiroki Ishibashi and Eriko Sakakura and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Masako Kawada

21 papers receiving 4.5k citations

Hit Papers

Self-organizing optic-cup morphogenesis in three-dimensio... 2008 2026 2014 2020 2011 2008 2012 400 800 1.2k

Peers

Masako Kawada
Masako Kawada
Citations per year, relative to Masako Kawada Masako Kawada (= 1×) peers Nozomu Takata

Countries citing papers authored by Masako Kawada

Since Specialization
Citations

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

Fields of papers citing papers by Masako Kawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Kawada

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Kawada. A scholar is included among the top collaborators of Masako Kawada 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 Masako Kawada. Masako Kawada 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.
Maeda, Tomoya, et al.. (2022). Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape. PLoS Biology. 20(12). e3001920–e3001920. 13 indexed citations
2.
Kotani, Hazuki, et al.. (2022). Development of a device that generates a temperature gradient in a microtiter plate for microbial culture. SLAS TECHNOLOGY. 27(5). 279–283. 1 indexed citations
3.
Maeda, Tomoya, et al.. (2021). Laboratory evolution of Mycobacterium on agar plates for analysis of resistance acquisition and drug sensitivity profiles. Scientific Reports. 11(1). 15136–15136. 15 indexed citations
4.
Maeda, Tomoya, et al.. (2021). Mutational property of newly identified mutagen l-glutamic acid γ-hydrazide in Escherichia coli. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 823. 111759–111759. 5 indexed citations
5.
Maeda, Tomoya, et al.. (2020). High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli. Nature Communications. 11(1). 5970–5970. 50 indexed citations
6.
Maeda, Tomoya, et al.. (2019). Complete Genome Sequences of Three Star-Shaped Bacteria, Stella humosa, Stella vacuolata, and Stella Species ATCC 35155. Microbiology Resource Announcements. 8(32). 3 indexed citations
7.
Satoh, Katsuya, et al.. (2019). Complete Genome Sequence of a Radioresistant Bacterial Strain, Deinococcus grandis ATCC 43672. Microbiology Resource Announcements. 8(45). 5 indexed citations
8.
Okuda, Satoru, Nozomu Takata, Masako Kawada, et al.. (2018). Strain-triggered mechanical feedback in self-organizing optic-cup morphogenesis. Science Advances. 4(11). eaau1354–eaau1354. 70 indexed citations
9.
Nakano, Tokushige, Satoshi Ando, Nozomu Takata, et al.. (2012). Self-Formation of Optic Cups and Storable Stratified Neural Retina from Human ESCs. Cell stem cell. 10(6). 771–785. 1079 indexed citations breakdown →
10.
Danjo, Teruko, Mototsugu Eiraku, Keiko Muguruma, et al.. (2011). Subregional Specification of Embryonic Stem Cell-Derived Ventral Telencephalic Tissues by Timed and Combinatory Treatment with Extrinsic Signals. Journal of Neuroscience. 31(5). 1919–1933. 141 indexed citations
11.
KAMIYA, Daisuke, Noriaki Sasai, Masatoshi Ohgushi, et al.. (2011). Intrinsic transition of embryonic stem-cell differentiation into neural progenitors. Nature. 470(7335). 503–509. 168 indexed citations
12.
Eiraku, Mototsugu, Nozomu Takata, Hiroki Ishibashi, et al.. (2011). Self-organizing optic-cup morphogenesis in three-dimensional culture. Nature. 472(7341). 51–56. 1470 indexed citations breakdown →
13.
Ikeya, Makoto, Masako Kawada, Sachiko Onishi, et al.. (2009). Cv2, functioning as a pro-BMP factor via twisted gastrulation, is required for early development of nephron precursors. Developmental Biology. 337(2). 405–414. 36 indexed citations
14.
Ikeya, Makoto, Tetsuya Nosaka, Masako Kawada, et al.. (2008). Twisted gastrulation mutation suppresses skeletal defect phenotypes in Crossveinless 2 mutant mice. Mechanisms of Development. 125(9-10). 832–842. 14 indexed citations
15.
Eiraku, Mototsugu, Kiichi Watanabe, Mami Matsuo‐Takasaki, et al.. (2008). Self-Organized Formation of Polarized Cortical Tissues from ESCs and Its Active Manipulation by Extrinsic Signals. Cell stem cell. 3(5). 519–532. 1103 indexed citations breakdown →
16.
Wataya, Takafumi, Satoshi Ando, Keiko Muguruma, et al.. (2008). Minimization of exogenous signals in ES cell culture induces rostral hypothalamic differentiation. Proceedings of the National Academy of Sciences. 105(33). 11796–11801. 202 indexed citations
17.
Ikeya, Makoto, Masako Kawada, Hiroshi Kiyonari, et al.. (2007). Essential pro-BMP roles of Crossveinless2 in mouse organogenesis. Developmental Biology. 306(1). 425–426. 4 indexed citations
18.
Sakuragi, Makoto, Noriaki Sasai, Makoto Ikeya, et al.. (2006). Functional analysis of chick ONT1 reveals distinguishable activities among olfactomedin-related signaling factors. Mechanisms of Development. 123(2). 114–123. 12 indexed citations
19.
Ikeya, Makoto, Masako Kawada, Hiroshi Kiyonari, et al.. (2006). Essential pro-Bmp roles of crossveinless 2 in mouse organogenesis. Development. 133(22). 4463–4473. 100 indexed citations
20.
Ikeya, Makoto, Masako Kawada, Makoto Sakuragi, et al.. (2005). Gene disruption/knock-in analysis of mONT3: vector construction by employing both in vivo and in vitro recombinations. The International Journal of Developmental Biology. 49(7). 807–823. 32 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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