Daisuke Higo
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Signaling Pathways in Disease 2
- Protein purification and stability 2
- RNA and protein synthesis mechanisms 2
-
- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Susumu Uchiyama (4 shared papers)Takashi Nirasawa (2 shared papers)Toshifumi Takao (2 shared papers)Takeshi Ishihara (1 shared paper)Kayoko Hayashihara (1 shared paper)Sachihiro Matsunaga (1 shared paper)Tsunehito Higashi (1 shared paper)Hideaki Takata (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Scientific Reports (2 papers)mAbs (1 paper)Journal of Proteome Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanIsraelUnited States
In The Last Decade
Daisuke Higo
12 papers receiving 372 citations
Peers
Comparison fields: 5 of 68
- Structural Biology 11
- Spectroscopy 85
- Molecular Biology 287
- Radiology, Nuclear Medicine and Imaging 67
- Cell Biology 36
Countries citing papers authored by Daisuke Higo
This map shows the geographic impact of Daisuke Higo'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 Higo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Higo more than expected).
Fields of papers citing papers by Daisuke Higo
This network shows the impact of papers produced by Daisuke Higo. 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 Higo. The network helps show where Daisuke Higo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Higo, 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 | 2005 | 103 | |
| 2 | 2020 | 65 | |
| 3 | 2008 | 51 | |
| 4 | 2019 | 39 | |
| 5 | 2015 | 31 | |
| 6 | 2016 | 22 | |
| 7 | 2018 | 19 | |
| 8 | 2022 | 16 | |
| 9 | 2008 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 0 |
About Daisuke Higo
Daisuke Higo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Genetics and Immunology and Allergy, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Signaling Pathways in Disease (2 papers), Analytical Chemistry and Chromatography (2 papers), Cell Adhesion Molecules Research (2 papers), Protein purification and stability (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (11 citations), Spectroscopy (85 citations), Molecular Biology (287 citations), Radiology, Nuclear Medicine and Imaging (67 citations) and Cell Biology (36 citations). Daisuke Higo has collaborated with scholars based in Japan, Israel and United States. Frequent co-authors include Susumu Uchiyama, Takashi Nirasawa, Toshifumi Takao, Takeshi Ishihara, Kayoko Hayashihara, Sachihiro Matsunaga, Tsunehito Higashi, Hideaki Takata, Naoto Hori and Shouhei Kobayashi. Their work appears in journals such as The Journal of Immunology, Scientific Reports, mAbs, Journal of Proteome Research and Journal of Biological Chemistry.
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.