Daisuke Koga
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Aging top 10%
Papers in
-
- Photosynthetic Processes and Mechanisms 3
- Plant Reproductive Biology 3
- Cell Biology 11
- Cellular transport and secretion 8
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Tatsuo Ushiki (17 shared papers)Tsuyoshi Watanabe (19 shared papers)Hiroki Bochimoto (9 shared papers)Masaru Mitsutomi (1 shared paper)Masahiro Matsumiya (1 shared paper)Miho Kono (1 shared paper)Eisuke Mekada (1 shared paper)Hiroki Moribe (1 shared paper)
- Journals
- Microscopy (5 papers)Journal of Histochemistry & Cytochemistry (2 papers)Scientific Reports (1 paper)Neuroscience Research (1 paper)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Daisuke Koga
38 papers receiving 548 citations
Peers
Comparison fields: 5 of 109
- Structural Biology 95
- Aging 20
- Surfaces, Coatings and Films 51
- Biophysics 36
- Cell Biology 91
Countries citing papers authored by Daisuke Koga
This map shows the geographic impact of Daisuke Koga'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 Daisuke Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Koga more than expected).
Fields of papers citing papers by Daisuke Koga
This network shows the impact of papers produced by Daisuke Koga. 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 Daisuke Koga. The network helps show where Daisuke Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Koga, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 49 | |
| 2 | 2012 | 45 | |
| 3 | 2006 | 36 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 35 | |
| 6 | 2015 | 29 | |
| 7 | 2019 | 24 | |
| 8 | 2019 | 24 | |
| 9 | 2012 | 23 | |
| 10 | 2008 | 22 | |
| 11 | 2013 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2012 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2017 | 11 |
About Daisuke Koga
Daisuke Koga is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Physiology and Surfaces, Coatings and Films, having authored 41 papers that have together received 555 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (10 papers), Cellular transport and secretion (8 papers), Electron and X-Ray Spectroscopy Techniques (6 papers), Force Microscopy Techniques and Applications (4 papers), Adipose Tissue and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Structural Biology (95 citations), Aging (20 citations), Surfaces, Coatings and Films (51 citations), Biophysics (36 citations) and Cell Biology (91 citations). Daisuke Koga has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tatsuo Ushiki, Tsuyoshi Watanabe, Hiroki Bochimoto, Masaru Mitsutomi, Masahiro Matsumiya, Miho Kono, Eisuke Mekada, Hiroki Moribe, Kuniaki Nakamura and Masahiro Hosaka. Their work appears in journals such as Microscopy, Journal of Histochemistry & Cytochemistry, Scientific Reports, Neuroscience Research and Nature Communications.
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.