T Tai
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Immunology top 10%
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 14
-
- Galectins and Cancer Biology 6
- Co-authors
- Koji Yamashita (2 shared papers)Akira Kobata (2 shared papers)Setsuko Ito (1 shared paper)Shintaro Iwashita (1 shared paper)T. Muramatsu (1 shared paper)Naoki Koide (1 shared paper)Y. Inoue (1 shared paper)Reiko F. Irie (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Glycobiology (2 papers)Infection and Immunity (2 papers)The Journal of Biochemistry (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
T Tai
15 papers receiving 1.3k citations
T Tai's Hit Papers
Peers
Comparison fields: 5 of 77
- Biotechnology 156
- Immunology 345
- Neurology 201
- Molecular Biology 918
- Organic Chemistry 343
Countries citing papers authored by T Tai
This map shows the geographic impact of T Tai'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 T Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Tai more than expected).
Fields of papers citing papers by T Tai
This network shows the impact of papers produced by T Tai. 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 T Tai. The network helps show where T Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside T Tai, 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 | Structural studies of two ovalbumin glycopeptides in relation to the endo-beta-N-acetylglucosaminidase specificity. Hit paper breakdown → | 1975 | 389 |
| 2 | 1977 | 247 | |
| 3 | 1983 | 144 | |
| 4 | 1994 | 136 | |
| 5 | 1997 | 105 | |
| 6 | 1996 | 90 | |
| 7 | 1994 | 77 | |
| 8 | 2001 | 64 | |
| 9 | De-N-acetyl-gangliosides in humans: unusual subcellular distribution of a novel tumor antigen. | 1999 | 39 |
| 10 | 1987 | 27 | |
| 11 | 1996 | 14 | |
| 12 | 2000 | 13 | |
| 13 | Localization of sulfatides in the epithelial lining of gastric mucosa: studies with a monoclonal antibody to sulfatides. | 1995 | 9 |
| 14 | 2001 | 5 | |
| 15 | 1993 | 1 |
About T Tai
T Tai is a scholar working on Molecular Biology, Immunology, Cell Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Galectins and Cancer Biology (6 papers), Caveolin-1 and cellular processes (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Microbial Metabolites in Food Biotechnology (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Biotechnology (156 citations), Immunology (345 citations), Neurology (201 citations), Molecular Biology (918 citations) and Organic Chemistry (343 citations). T Tai has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Koji Yamashita, Akira Kobata, Setsuko Ito, Shintaro Iwashita, T. Muramatsu, Naoki Koide, Y. Inoue, Reiko F. Irie, James C. Paulson and Leslie D. Cahan. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Infection and Immunity, The Journal of Biochemistry and Journal of Lipid Research.
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.