Daisuke Ejima
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- Monoclonal and Polyclonal Antibodies Research 29
- Molecular Biology top 2%
- Protein purification and stability 50
- Viral Infectious Diseases and Gene Expression in Insects 13
- Glycosylation and Glycoproteins Research 11
- Protein Structure and Dynamics 8
- Biotechnology top 1%
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 10
- Food Science top 2%
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- Blood properties and coagulation 6
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- Enzyme Structure and Function 6
- Co-authors
- Tsutomu ArakawaKouhei TsumotoYoshiko KitaIzumi KumagaiJohn S. PhiloRyosuke YumiokaMitsuo UmetsuYoshikazu Tanaka
- Journals
- Protein Expression and Purification (15 papers)Journal of Pharmaceutical Sciences (5 papers)International Journal of Biological Macromolecules (4 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Daisuke Ejima
69 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 1.3k
- Molecular Biology 3.3k
- Biotechnology 353
- Spectroscopy 370
- Food Science 379
Countries citing papers authored by Daisuke Ejima
This map shows the geographic impact of Daisuke 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 Daisuke Ejima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Ejima more than expected).
Fields of papers citing papers by Daisuke Ejima
This network shows the impact of papers produced by Daisuke 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 Daisuke Ejima. The network helps show where Daisuke Ejima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daisuke 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 6 | |
| 5 | 2009 | 2 | |
| 6 | 2009 | 7 | |
| 7 | 2009 | 44 | |
| 8 | 2008 | 15 | |
| 9 | 2008 | 22 | |
| 10 | 2007 | 93 | |
| 11 | 2007 | 177 | |
| 12 | 2006 | 15 | |
| 13 | 2006 | 56 | |
| 14 | 2006 | 118 | |
| 15 | 2005 | 17 | |
| 16 | 2003 | 339 | |
| 17 | 2002 | 23 | |
| 18 | 2002 | 26 | |
| 19 | 2000 | 5 | |
| 20 | 1991 | 30 |
About Daisuke Ejima
Daisuke Ejima is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Spectroscopy, having authored 72 papers that have together received 4.3k indexed citations. Recurring topics across this work include Protein purification and stability (50 papers), Monoclonal and Polyclonal Antibodies Research (29 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), Glycosylation and Glycoproteins Research (11 papers), Analytical Chemistry and Chromatography (10 papers), Protein Structure and Dynamics (8 papers), Blood properties and coagulation (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Molecular Biology (3.3k citations) and Biotechnology (353 citations). Daisuke Ejima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsutomu Arakawa, Kouhei Tsumoto, Yoshiko Kita, Izumi Kumagai, John S. Philo, Ryosuke Yumioka, Mitsuo Umetsu, Yoshikazu Tanaka, Serge N. Timasheff and K. Tsumoto. Their work appears in journals such as Protein Expression and Purification, Journal of Pharmaceutical Sciences, International Journal of Biological Macromolecules, Biophysical Chemistry and Current Pharmaceutical Biotechnology.
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.