Keiko Masuda
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Endocrine and Autonomic Systems top 10%
- Physiology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Yoshihiro ShimizuToru FUJINAGAKazushi AsanoTsuyoshi KADOSAWAMasahiro OkumuraKazuyoshi UkenaTakuya UedaMegumi Furumitsu
- Topics
- RNA and protein synthesis mechanisms (8 papers)Mass Spectrometry Techniques and Applications (5 papers)Regulation of Appetite and Obesity (5 papers)
- Journals
- Nature CommunicationsAnalytical ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Keiko Masuda
34 papers receiving 547 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 287
- Cardiology and Cardiovascular Medicine 88
- Endocrine and Autonomic Systems 78
- Physiology 70
- Radiology, Nuclear Medicine and Imaging 67
Countries citing papers authored by Keiko Masuda
This map shows the geographic impact of Keiko Masuda'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 Keiko Masuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Masuda more than expected).
Fields of papers citing papers by Keiko Masuda
This network shows the impact of papers produced by Keiko Masuda. 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 Keiko Masuda. The network helps show where Keiko Masuda may publish in the future.
Co-authorship network of co-authors of Keiko Masuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Masuda. A scholar is included among the top collaborators of Keiko Masuda 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 Keiko Masuda. Keiko Masuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 55 | |
| 8 | 16 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 8 | |
| 15 | 12 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 49 | |
| 19 | 30 | |
| 20 | 59 |
About Keiko Masuda
Keiko Masuda is a scholar working on Endocrine and Autonomic Systems, Reproductive Medicine and Spectroscopy, having authored 36 papers that have together received 560 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Mass Spectrometry Techniques and Applications (5 papers) and Regulation of Appetite and Obesity (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (78 citations), Molecular Biology (287 citations) and Cardiology and Cardiovascular Medicine (88 citations). Keiko Masuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshihiro Shimizu, Toru FUJINAGA, Kazushi Asano, Tsuyoshi KADOSAWA, Masahiro Okumura, Kazuyoshi Ukena, Takuya Ueda, Megumi Furumitsu, Kazuaki Amikura and Tetsuya Tachibana. Their work appears in journals such as Nature Communications, Analytical Chemistry and Biochemical and Biophysical Research 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.