Akemi Imaoka
- Molecular Biology top 1%
- Immunology top 1%
- Infectious Diseases top 0.5%
- Genetics top 1%
- Food Science top 0.5%
- Co-authors
- Yoshinori UmesakiKikuji ItohTatsuichiro ShimaKoji AtarashiIvaylo I. IvanovKiyoshi TakedaTakeshi TanoueKenya Honda
- Topics
- Gut microbiota and health (17 papers)Probiotics and Fermented Foods (11 papers)Clostridium difficile and Clostridium perfringens research (5 papers)
- Journals
- ScienceCellGastroenterology
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Akemi Imaoka
23 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 5.7k
- Immunology 2.4k
- Infectious Diseases 2.3k
- Genetics 1.6k
- Food Science 1.5k
Countries citing papers authored by Akemi Imaoka
This map shows the geographic impact of Akemi Imaoka'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 Akemi Imaoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akemi Imaoka more than expected).
Fields of papers citing papers by Akemi Imaoka
This network shows the impact of papers produced by Akemi Imaoka. 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 Akemi Imaoka. The network helps show where Akemi Imaoka may publish in the future.
Co-authorship network of co-authors of Akemi Imaoka
This figure shows the co-authorship network connecting the top 25 collaborators of Akemi Imaoka. A scholar is included among the top collaborators of Akemi Imaoka 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 Akemi Imaoka. Akemi Imaoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 96 | |
| 3 | 149 | |
| 4 | Induction of Colonic Regulatory T Cells by Indigenous Clostridium Speciesbreakdown → | 2855 |
| 5 | 369 | |
| 6 | Induction of Intestinal Th17 Cells by Segmented Filamentous Bacteriabreakdown → | 3449 |
| 7 | 134 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 35 | |
| 11 | 283 | |
| 12 | 85 | |
| 13 | 267 | |
| 14 | 63 | |
| 15 | 211 | |
| 16 | 7 | |
| 17 | 82 | |
| 18 | 275 | |
| 19 | Gamma delta TCR-bearing intraepithelial lymphocytes regulate class II major histocompatibility complex molecule expression on the mouse small intestinal epithelium. | 19 |
| 20 | 46 |
About Akemi Imaoka
Akemi Imaoka is a scholar working on Gastroenterology, Food Science and Genetics, having authored 23 papers that have together received 8.7k indexed citations. Recurring topics across this work include Gut microbiota and health (17 papers), Probiotics and Fermented Foods (11 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). The work is most often cited by research in Gastroenterology (1.3k citations), Biological Psychiatry (415 citations) and Infectious Diseases (2.3k citations). Akemi Imaoka has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yoshinori Umesaki, Kikuji Itoh, Tatsuichiro Shima, Koji Atarashi, Ivaylo I. Ivanov, Kiyoshi Takeda, Takeshi Tanoue, Kenya Honda, Hiromi Setoyama and Satoshi Matsumoto. Their work appears in journals such as Science, Cell and Gastroenterology.
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.