Daigo Inoue
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Zebrafish Biomedical Research Applications
- Aging top 10%
Papers in
- Cell Biology 11
- Microtubule and mitosis dynamics 9
- Zebrafish Biomedical Research Applications 2
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- Epigenetics and DNA Methylation 4
- Retinal Development and Disorders 2
- Co-authors
- Noriyuki Sagata (7 shared papers)Joachim Wittbrodt (8 shared papers)Yoshinori Kanemori (5 shared papers)Nobushige Nakajo (4 shared papers)Ken Shimuta (1 shared paper)Katsuhiro Uto (1 shared paper)Oliver J. Gruß (3 shared papers)Robert Reinhardt (1 shared paper)
- Journals
- The EMBO Journal (3 papers)Developmental Cell (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)Nature (1 paper)
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Daigo Inoue
17 papers receiving 711 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 328
- Aging 21
- Molecular Biology 497
- Endocrine and Autonomic Systems 33
- Physiology 20
Countries citing papers authored by Daigo Inoue
This map shows the geographic impact of Daigo Inoue'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 Daigo Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daigo Inoue more than expected).
Fields of papers citing papers by Daigo Inoue
This network shows the impact of papers produced by Daigo Inoue. 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 Daigo Inoue. The network helps show where Daigo Inoue may publish in the future.
Co-authors
The 25 scholars most cited alongside Daigo Inoue, 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 | 2011 | 120 | |
| 2 | 2007 | 104 | |
| 3 | 2004 | 95 | |
| 4 | 2005 | 65 | |
| 5 | 2013 | 58 | |
| 6 | 2013 | 52 | |
| 7 | 2015 | 51 | |
| 8 | 2006 | 42 | |
| 9 | 2011 | 34 | |
| 10 | 2010 | 25 | |
| 11 | 2015 | 23 | |
| 12 | 2019 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2011 | 1 | |
| 17 | 2021 | 1 |
About Daigo Inoue
Daigo Inoue is a scholar working on Cell Biology, Molecular Biology, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 17 papers that have together received 711 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Reproductive Biology and Fertility (5 papers), Epigenetics and DNA Methylation (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Retinal Development and Disorders (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cell Biology (328 citations), Aging (21 citations), Molecular Biology (497 citations), Endocrine and Autonomic Systems (33 citations) and Physiology (20 citations). Daigo Inoue has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Noriyuki Sagata, Joachim Wittbrodt, Yoshinori Kanemori, Nobushige Nakajo, Ken Shimuta, Katsuhiro Uto, Oliver J. Gruß, Robert Reinhardt, Satchidananda Panda and Michitaka Isoda. Their work appears in journals such as The EMBO Journal, Developmental Cell, Nature Communications, Molecular Biology of the Cell and Nature.
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.