Erina Kuranaga
- Aging top 2%
- Cell Biology top 2%
- Cellular Mechanics and Interactions 16
- Hippo pathway signaling and YAP/TAZ 11
- Immunology top 5%
- Invertebrate Immune Response Mechanisms 7
- Molecular Biology top 5%
- Cell death mechanisms and regulation 16
- Ubiquitin and proteasome pathways 5
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- Neurobiology and Insect Physiology Research 12
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- Marine Ecology and Invasive Species 5
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- Marine Invertebrate Physiology and Ecology 5
- Co-authors
- Masayuki MiuraYu-ichiro NakajimaHirotaka KanukaAyako TonokiKiwamu TakemotoTakeyasu TomiokaTatsushi IgakiAsuka Takeishi
- Cited by
- AgingCell BiologyImmunology
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Erina Kuranaga
66 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Aging 155
- Cell Biology 735
- Immunology 689
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 417
Countries citing papers authored by Erina Kuranaga
This map shows the geographic impact of Erina Kuranaga'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 Erina Kuranaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erina Kuranaga more than expected).
Fields of papers citing papers by Erina Kuranaga
This network shows the impact of papers produced by Erina Kuranaga. 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 Erina Kuranaga. The network helps show where Erina Kuranaga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erina Kuranaga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 3 | |
| 6 | 2019 | 41 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 128 | |
| 9 | 2017 | 10 | |
| 10 | 2013 | 38 | |
| 11 | 2012 | 67 | |
| 12 | 2011 | 60 | |
| 13 | 2008 | 219 | |
| 14 | 2007 | 54 | |
| 15 | 2007 | 156 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 115 | |
| 18 | 2005 | 2 | |
| 19 | 2002 | 119 | |
| 20 | 1999 | 54 |
About Erina Kuranaga
Erina Kuranaga is a scholar working on Aging, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Paleontology, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (16 papers), Cell death mechanisms and regulation (16 papers), Neurobiology and Insect Physiology Research (12 papers), Hippo pathway signaling and YAP/TAZ (11 papers), Invertebrate Immune Response Mechanisms (7 papers), Marine Ecology and Invasive Species (5 papers), Marine Invertebrate Physiology and Ecology (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Aging (155 citations), Cell Biology (735 citations), Immunology (689 citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (417 citations). Erina Kuranaga has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masayuki Miura, Yu-ichiro Nakajima, Hirotaka Kanuka, Ayako Tonoki, Kiwamu Takemoto, Takeyasu Tomioka, Tatsushi Igaki, Asuka Takeishi, Hideyuki Okano and Akiko Koto. Their work appears in journals such as Nature Communications, Cell Reports, Current Biology, Developmental Cell and Molecular and Cellular 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.