Y Imae
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
Papers in
-
- Lipid Membrane Structure and Behavior 16
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 5
- Genetics 24
- Bacterial Genetics and Biotechnology 22
- Co-authors
- Tatsuo Atsumi (6 shared papers)Junichi Shioi (5 shared papers)Ikuro Kawagishi (12 shared papers)Shusuke Matsuura (4 shared papers)Shigeru Sugiyama (9 shared papers)Michio Homma (9 shared papers)Kayo Maéda (5 shared papers)Jack L. Strominger (5 shared papers)
- Journals
- Journal of Bacteriology (25 papers)Journal of Biological Chemistry (7 papers)The Journal of Biochemistry (5 papers)FEBS Letters (4 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Y Imae
68 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 112
- Endocrinology 430
- Condensed Matter Physics 749
- Genetics 1.1k
- Cellular and Molecular Neuroscience 705
- Molecular Biology 2.3k
Countries citing papers authored by Y Imae
This map shows the geographic impact of Y Imae'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 Y Imae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Imae more than expected).
Fields of papers citing papers by Y Imae
This network shows the impact of papers produced by Y Imae. 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 Y Imae. The network helps show where Y Imae may publish in the future.
Co-authors
The 25 scholars most cited alongside Y Imae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 206 | |
| 2 | 1976 | 169 | |
| 3 | 1983 | 149 | |
| 4 | 1976 | 141 | |
| 5 | 1981 | 138 | |
| 6 | 1996 | 136 | |
| 7 | 1977 | 135 | |
| 8 | 1980 | 131 | |
| 9 | 1995 | 123 | |
| 10 | 1995 | 101 | |
| 11 | 1996 | 97 | |
| 12 | 1989 | 96 | |
| 13 | 1970 | 95 | |
| 14 | 2003 | 93 | |
| 15 | 1979 | 75 | |
| 16 | 1988 | 68 | |
| 17 | 1994 | 66 | |
| 18 | 1990 | 62 | |
| 19 | 1996 | 62 | |
| 20 | 1991 | 54 |
About Y Imae
Y Imae is a scholar working on Molecular Biology, Genetics, Condensed Matter Physics, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 70 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (22 papers), Micro and Nano Robotics (17 papers), Lipid Membrane Structure and Behavior (16 papers), Photoreceptor and optogenetics research (16 papers), Microfluidic and Bio-sensing Technologies (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (7 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Endocrinology (430 citations), Condensed Matter Physics (749 citations), Genetics (1.1k citations), Cellular and Molecular Neuroscience (705 citations) and Molecular Biology (2.3k citations). Y Imae has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tatsuo Atsumi, Junichi Shioi, Ikuro Kawagishi, Shusuke Matsuura, Shigeru Sugiyama, Michio Homma, Kayo Maéda, Jack L. Strominger, Fumio Oosawa and Kenji Oosawa. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, The Journal of Biochemistry, FEBS Letters and Journal of Molecular Biology.
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.