Daisuke Tsuji
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- Natural product bioactivities and synthesis 10
- Glycosylation and Glycoproteins Research 8
- Physiology 22
- Lysosomal Storage Disorders Research 21
- Co-authors
- Kohji Itoh (60 shared papers)Hitoshi Sakuraba (14 shared papers)Akira Otaka (8 shared papers)Keisuke Kitakaze (7 shared papers)Akira Shigenaga (6 shared papers)Kazuhiko Matsuoka (6 shared papers)Yoshiki Kashiwada (16 shared papers)Naonobu Tanaka (17 shared papers)
- Journals
- Fitoterapia (6 papers)Journal of Neurochemistry (5 papers)PLoS ONE (4 papers)Journal of Natural Medicines (4 papers)The Journal of Biochemistry (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Daisuke Tsuji
71 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Physiology 358
- Cell Biology 158
- Molecular Biology 657
- Physiology 40
- Cancer Research 120
Countries citing papers authored by Daisuke Tsuji
This map shows the geographic impact of Daisuke Tsuji'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 Tsuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Tsuji more than expected).
Fields of papers citing papers by Daisuke Tsuji
This network shows the impact of papers produced by Daisuke Tsuji. 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 Tsuji. The network helps show where Daisuke Tsuji may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Tsuji, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 91 | |
| 2 | 2010 | 70 | |
| 3 | 2013 | 69 | |
| 4 | 2010 | 63 | |
| 5 | 2000 | 54 | |
| 6 | 2011 | 52 | |
| 7 | 2007 | 47 | |
| 8 | 2007 | 43 | |
| 9 | 2005 | 42 | |
| 10 | 2008 | 35 | |
| 11 | 2011 | 34 | |
| 12 | 2009 | 33 | |
| 13 | 2015 | 32 | |
| 14 | 2011 | 30 | |
| 15 | 2020 | 27 | |
| 16 | 2005 | 22 | |
| 17 | 2009 | 21 | |
| 18 | 2005 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2006 | 19 |
About Daisuke Tsuji
Daisuke Tsuji is a scholar working on Molecular Biology, Physiology, Plant Science, Cell Biology and Organic Chemistry, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (21 papers), Phytochemistry and Biological Activities (12 papers), Cellular transport and secretion (11 papers), Trypanosoma species research and implications (11 papers), Natural product bioactivities and synthesis (10 papers), Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Sesquiterpenes and Asteraceae Studies (4 papers). The work is most often cited by research in Physiology (358 citations), Cell Biology (158 citations), Molecular Biology (657 citations), Physiology (40 citations) and Cancer Research (120 citations). Daisuke Tsuji has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kohji Itoh, Hitoshi Sakuraba, Akira Otaka, Keisuke Kitakaze, Akira Shigenaga, Kazuhiko Matsuoka, Yoshiki Kashiwada, Naonobu Tanaka, Kohei Sato and Yasunori Chiba. Their work appears in journals such as Fitoterapia, Journal of Neurochemistry, PLoS ONE, Journal of Natural Medicines and The Journal of Biochemistry.
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.