Keigo Ide
Impact in
-
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
-
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
Papers in
-
- Genomics and Phylogenetic Studies 4
- Gut microbiota and health 4
- Ecology 7
- Microbial Community Ecology and Physiology 4
- Coral and Marine Ecosystems Studies 3
- Bacteriophages and microbial interactions 2
- Co-authors
- Haruko Takeyama (15 shared papers)Masahito Hosokawa (10 shared papers)Masato Kogawa (9 shared papers)Yohei Nishikawa (7 shared papers)Koji Arikawa (4 shared papers)Kei Yura (4 shared papers)Kosuke Kataoka (2 shared papers)Toru Asahi (1 shared paper)
- Journals
- Microbiome (3 papers)Scientific Reports (2 papers)Biomolecules (1 paper)Cancer Epidemiology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- JapanSwitzerlandSaudi Arabia
In The Last Decade
Keigo Ide
17 papers receiving 294 citations
Peers
Comparison fields: 5 of 77
- Ecology 103
- Molecular Biology 172
- Insect Science 25
- Molecular Medicine 10
- Biotechnology 15
Countries citing papers authored by Keigo Ide
This map shows the geographic impact of Keigo Ide'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 Keigo Ide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keigo Ide more than expected).
Fields of papers citing papers by Keigo Ide
This network shows the impact of papers produced by Keigo Ide. 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 Keigo Ide. The network helps show where Keigo Ide may publish in the future.
Co-authors
The 25 scholars most cited alongside Keigo Ide, 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 | 2020 | 93 | |
| 2 | 2021 | 34 | |
| 3 | 2022 | 27 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 22 | |
| 6 | 2023 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 0 |
About Keigo Ide
Keigo Ide is a scholar working on Molecular Biology, Ecology, Immunology, Pollution and Epidemiology, having authored 18 papers that have together received 298 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Microbial Community Ecology and Physiology (4 papers), Gut microbiota and health (4 papers), Coral and Marine Ecosystems Studies (3 papers), Insect Utilization and Effects (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Bacteriophages and microbial interactions (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Ecology (103 citations), Molecular Biology (172 citations), Insect Science (25 citations), Molecular Medicine (10 citations) and Biotechnology (15 citations). Keigo Ide has collaborated with scholars based in Japan, Switzerland and Saudi Arabia. Frequent co-authors include Haruko Takeyama, Masahito Hosokawa, Masato Kogawa, Yohei Nishikawa, Koji Arikawa, Kei Yura, Kosuke Kataoka, Toru Asahi, Makio Takeda and Atsushi Ogura. Their work appears in journals such as Microbiome, Scientific Reports, Biomolecules, Cancer Epidemiology and Frontiers in Immunology.
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.