Akane Imai
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
- Salivary Gland Disorders and Functions
- Calcium signaling and nucleotide metabolism
Papers in
-
- Retinal Development and Disorders 7
- Biochemical and Structural Characterization 5
- Lipid Membrane Structure and Behavior 5
- Phosphodiesterase function and regulation 4
- Cell Biology 22
- Cellular transport and secretion 21
- Co-authors
- Tomoko Nashida (35 shared papers)Hiromi Shimomura (35 shared papers)Sumio Yoshie (15 shared papers)Mitsunori Fukuda (8 shared papers)Maiko Haga‐Tsujimura (7 shared papers)Shunya Oka (3 shared papers)Masato Mikami (2 shared papers)Reiner Fischer‐Colbrie (2 shared papers)
In The Last Decade
Akane Imai
46 papers receiving 702 citations
Peers
Comparison fields: 5 of 77
- Cell Biology 400
- Physiology 55
- Physiology 229
- Molecular Biology 373
- Periodontics 23
Countries citing papers authored by Akane Imai
This map shows the geographic impact of Akane Imai'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 Akane Imai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akane Imai more than expected).
Fields of papers citing papers by Akane Imai
This network shows the impact of papers produced by Akane Imai. 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 Akane Imai. The network helps show where Akane Imai may publish in the future.
Co-authors
The 25 scholars most cited alongside Akane Imai, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 93 | |
| 2 | 2005 | 47 | |
| 3 | 2009 | 44 | |
| 4 | 2003 | 40 | |
| 5 | 2005 | 39 | |
| 6 | 2000 | 37 | |
| 7 | 2004 | 35 | |
| 8 | 2019 | 30 | |
| 9 | 2004 | 25 | |
| 10 | 2004 | 21 | |
| 11 | 2009 | 21 | |
| 12 | 2013 | 20 | |
| 13 | 2001 | 19 | |
| 14 | 2006 | 19 | |
| 15 | 2003 | 18 | |
| 16 | 2013 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2009 | 14 | |
| 19 | Regulation of cAMP phosphodiesterases by cyclic nucleotides in rat parotid gland. | 1995 | 12 |
| 20 | 2010 | 10 |
About Akane Imai
Akane Imai is a scholar working on Molecular Biology, Cell Biology, Physiology, Oncology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 712 indexed citations. Recurring topics across this work include Cellular transport and secretion (21 papers), Retinal Development and Disorders (7 papers), Peptidase Inhibition and Analysis (6 papers), Salivary Gland Disorders and Functions (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Biochemical and Structural Characterization (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Phosphodiesterase function and regulation (4 papers). The work is most often cited by research in Cell Biology (400 citations), Physiology (55 citations), Physiology (229 citations), Molecular Biology (373 citations) and Periodontics (23 citations). Akane Imai has collaborated with scholars based in Japan, Spain and Finland. Frequent co-authors include Tomoko Nashida, Hiromi Shimomura, Sumio Yoshie, Mitsunori Fukuda, Maiko Haga‐Tsujimura, Shunya Oka, Masato Mikami, Reiner Fischer‐Colbrie, Sonia Paco and Juan Blasi. Their work appears in journals such as Archives of Oral Biology, Archives of Biochemistry and Biophysics, IUBMB Life, Odontology and Molecular and Cellular Biochemistry.
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.