J. Tai
Impact in
- Transplantation top 10%
Papers in
- Co-authors
- W J TzeA. GucluT. GhoseS. T. NorvellMartin GruebeleHannah GelmanA. S. MacdonaldT. K. Ghose
- Journals
- JNCI Journal of the National Cancer Institute (5 papers)Diabetes (2 papers)Diabetologia (2 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
J. Tai
54 papers receiving 753 citations
Peers
Comparison fields: 5 of 100
- Behavioral Neuroscience 31
- Transplantation 19
- Radiology, Nuclear Medicine and Imaging 160
- Immunology 132
- Microbiology 34
Countries citing papers authored by J. Tai
This map shows the geographic impact of J. 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 J. Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Tai more than expected).
Fields of papers citing papers by J. Tai
This network shows the impact of papers produced by J. 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 J. Tai. The network helps show where J. Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | Long Noncoding RNA PRR34-AS1 Aggravates the Progression of Hepatocellular Carcinoma by Adsorbing microRNA-498 and Thereby Upregulating FOXO3 | 2020 | 1 |
| 4 | 2016 | 165 | |
| 5 | 2014 | 6 | |
| 6 | 2014 | 40 | |
| 7 | 2013 | 48 | |
| 8 | 2013 | 23 | |
| 9 | 2013 | 70 | |
| 10 | 2002 | 17 | |
| 11 | 1998 | 3 | |
| 12 | 1997 | 7 | |
| 13 | 1997 | 3 | |
| 14 | 1994 | 4 | |
| 15 | Effects of serum and medium supplements, pH, and temperature on the viability of cultured porcine islets. | 1994 | 10 |
| 16 | 1988 | 7 | |
| 17 | A LINE DRAWING PATTERN RECOGNITION METHOD | 1985 | 1 |
| 18 | A KIND OF ATTRIBUTED GRAMMAR FOR PATTERN RECOGNITION | 1983 | 2 |
| 19 | Preparation of pseudoislets for morphological and functional studies. | 1982 | 13 |
| 20 | 1976 | 16 |
About J. Tai
J. Tai is a scholar working on Transplantation, Applied Microbiology and Biotechnology, Molecular Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 56 papers that have together received 793 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Xenotransplantation and immune response (10 papers), Diabetes and associated disorders (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (4 papers), Diabetes Management and Research (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Behavioral Neuroscience (31 citations), Transplantation (19 citations), Radiology, Nuclear Medicine and Imaging (160 citations), Immunology (132 citations) and Microbiology (34 citations). J. Tai has collaborated with scholars based in Canada, United States and China. Frequent co-authors include W J Tze, A. Guclu, T. Ghose, S. T. Norvell, Martin Gruebele, Hannah Gelman, A. S. Macdonald, T. K. Ghose, Sam A. Golden and Ming‐Hu Han. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Diabetes, Diabetologia, Journal of Molecular Biology and Proceedings of the National Academy of Sciences.
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.