Aki Ejima
Impact in
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- Neurobiology and Insect Physiology Research
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- Animal Behavior and Reproduction
- Plant and animal studies
Papers in
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- Neurobiology and Insect Physiology Research 15
- Genetics 13
- Insect and Arachnid Ecology and Behavior 13
- Co-authors
- Leslie C. Griffith (10 shared papers)Benjamin P. Smith (2 shared papers)Joel D. Levine (2 shared papers)Christophe Lucas (2 shared papers)Wynand van der Goes van Naters (1 shared paper)Carson J. Miller (1 shared paper)John R. Carlson (1 shared paper)Akihiro Shimba (5 shared papers)
- Journals
- PLoS ONE (3 papers)Current Biology (2 papers)The Journal of Immunology (2 papers)Genetics (2 papers)Cold Spring Harbor Protocols (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Aki Ejima
21 papers receiving 818 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 539
- Ecology, Evolution, Behavior and Systematics 365
- Insect Science 206
- Aging 28
- Genetics 441
Countries citing papers authored by Aki Ejima
This map shows the geographic impact of Aki Ejima'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 Aki Ejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aki Ejima more than expected).
Fields of papers citing papers by Aki Ejima
This network shows the impact of papers produced by Aki Ejima. 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 Aki Ejima. The network helps show where Aki Ejima may publish in the future.
Co-authors
The 25 scholars most cited alongside Aki Ejima, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 218 | |
| 2 | 2009 | 87 | |
| 3 | 2005 | 87 | |
| 4 | 2008 | 68 | |
| 5 | 2007 | 44 | |
| 6 | 2004 | 43 | |
| 7 | 2009 | 38 | |
| 8 | 2010 | 34 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2012 | 28 | |
| 12 | 2011 | 23 | |
| 13 | 2022 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2004 | 19 | |
| 16 | 2012 | 16 | |
| 17 | 2023 | 9 | |
| 18 | 2001 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2024 | 1 |
About Aki Ejima
Aki Ejima is a scholar working on Cellular and Molecular Neuroscience, Genetics, Ecology, Evolution, Behavior and Systematics, Immunology and Molecular Biology, having authored 21 papers that have together received 836 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Insect and Arachnid Ecology and Behavior (13 papers), Animal Behavior and Reproduction (10 papers), IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (3 papers), Insect Utilization and Effects (2 papers), Asthma and respiratory diseases (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (539 citations), Ecology, Evolution, Behavior and Systematics (365 citations), Insect Science (206 citations), Aging (28 citations) and Genetics (441 citations). Aki Ejima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Leslie C. Griffith, Benjamin P. Smith, Joel D. Levine, Christophe Lucas, Wynand van der Goes van Naters, Carson J. Miller, John R. Carlson, Akihiro Shimba, Koichi Ikuta and Shinya Abe. Their work appears in journals such as PLoS ONE, Current Biology, The Journal of Immunology, Genetics and Cold Spring Harbor Protocols.
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.