Masako Kawada
- Molecular Biology top 2%
- Biomedical Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Cell Biology top 5%
- Co-authors
- Yoshiki SasaiMototsugu EirakuNozomu TakataKiyotoshi SekiguchiKeiko MugurumaShigenobu YonemuraSatoru OkudaTaiji ADACHI
- Topics
- Developmental Biology and Gene Regulation (7 papers)Evolution and Genetic Dynamics (5 papers)Neuroscience and Neural Engineering (4 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Masako Kawada
21 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 3.8k
- Biomedical Engineering 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Developmental Neuroscience 655
- Cell Biology 391
Countries citing papers authored by Masako Kawada
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 5 | |
| 5 | 50 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 70 | |
| 9 | Self-Formation of Optic Cups and Storable Stratified Neural Retina from Human ESCsbreakdown → | 1079 |
| 10 | 141 | |
| 11 | 168 | |
| 12 | Self-organizing optic-cup morphogenesis in three-dimensional culturebreakdown → | 1470 |
| 13 | 36 | |
| 14 | 14 | |
| 15 | Self-Organized Formation of Polarized Cortical Tissues from ESCs and Its Active Manipulation by Extrinsic Signalsbreakdown → | 1103 |
| 16 | 202 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 100 | |
| 20 | 32 |
About Masako Kawada
Masako Kawada is a scholar working on Genetics, Developmental Neuroscience and Physical and Theoretical Chemistry, having authored 21 papers that have together received 4.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Evolution and Genetic Dynamics (5 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Developmental Neuroscience (655 citations), Cellular and Molecular Neuroscience (1.1k citations) and Molecular Biology (3.8k citations). Masako Kawada has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Yoshiki Sasai, Mototsugu Eiraku, Nozomu Takata, Kiyotoshi Sekiguchi, Keiko Muguruma, Shigenobu Yonemura, Satoru Okuda, Taiji ADACHI, Hiroki Ishibashi and Eriko Sakakura. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.