Tadasu Urashima
- Nutrition and Dietetics top 0.1%
- Infant Nutrition and Health 78
- Microbial Metabolites in Food Biotechnology 12
- Food Science top 0.5%
- Probiotics and Fermented Foods 28
- Genetics top 1%
- Digestive system and related health 34
- Immunology top 2%
- Small Animals top 1%
- Animal health and immunology 14
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- Glycosylation and Glycoproteins Research 48
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- Milk Quality and Mastitis in Dairy Cows 18
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- Carbohydrate Chemistry and Synthesis 17
Tadasu Urashima
143 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Nutrition and Dietetics 3.0k
- Food Science 1.1k
- Genetics 1.2k
- Immunology 930
- Small Animals 266
Countries citing papers authored by Tadasu Urashima
This map shows the geographic impact of Tadasu Urashima'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 Tadasu Urashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadasu Urashima more than expected).
Fields of papers citing papers by Tadasu Urashima
This network shows the impact of papers produced by Tadasu Urashima. 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 Tadasu Urashima. The network helps show where Tadasu Urashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadasu Urashima, 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 | 2023 | 6 | |
| 2 | Diversification of a Fucosyllactose Transporter within the Genus <i>Bifidobacterium</i> | 2022 | 22 |
| 3 | 2022 | 72 | |
| 4 | Why does breast milk contain a large amount of “galectin stripper”, milk oligosaccharides? What is their mysterious function? | 2021 | 1 |
| 5 | Milk oligosaccharides and galectins | 2021 | 1 |
| 6 | 2020 | 17 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 130 | |
| 9 | 2015 | 14 | |
| 10 | 2014 | 15 | |
| 11 | 2012 | 31 | |
| 12 | 2012 | 0 | |
| 13 | 2012 | 160 | |
| 14 | 2011 | 5 | |
| 15 | Hexose, sialic acid and sialyllactose concentrations in the milk of dairy and non-dairy breed cows | 2010 | 3 |
| 16 | 2009 | 4 | |
| 17 | 2006 | 36 | |
| 18 | 2004 | 24 | |
| 19 | 2002 | 35 | |
| 20 | 1983 | 3 |
About Tadasu Urashima
Tadasu Urashima is a scholar working on Nutrition and Dietetics, Food Science and Small Animals, having authored 147 papers that have together received 5.0k indexed citations. Recurring topics across this work include Infant Nutrition and Health (78 papers), Glycosylation and Glycoproteins Research (48 papers), Digestive system and related health (34 papers), Probiotics and Fermented Foods (28 papers), Milk Quality and Mastitis in Dairy Cows (18 papers), Carbohydrate Chemistry and Synthesis (17 papers), Animal health and immunology (14 papers) and Microbial Metabolites in Food Biotechnology (12 papers). The work is most often cited by research in Nutrition and Dietetics (3.0k citations), Food Science (1.1k citations) and Genetics (1.2k citations). Tadasu Urashima has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Kenji Fukuda, Tadashi Nakamura, Tadao Saito, Michael Messer, Sadaki Asakuma, Ikichi Arai, Jun Hirabayashi, Nozomu Nishi, Takanori Nakamura and Mitsuomi Hirashima. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Scientific Reports.
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.