Yu‐Tzu Tai
- Hematology top 0.05%
- Multiple Myeloma Research and Treatments 184
- Oncology top 0.2%
- Peptidase Inhibition and Analysis 40
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 23
- Immunology top 0.5%
- Immunotherapy and Immune Responses 26
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 51
- Ubiquitin and proteasome pathways 27
-
- Monoclonal and Polyclonal Antibodies Research 34
-
- Cancer Mechanisms and Therapy 25
- Co-authors
- Kenneth C. AndersonTeru HideshimaNikhil C. MunshiDharminder ChauhanPaul G. RichardsonNoopur RajeKlaus PodarSteven P. Treon
- Cited by
- HematologyOncologyGenetics
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yu‐Tzu Tai
265 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Hematology 7.1k
- Oncology 6.6k
- Genetics 1.6k
- Immunology 2.9k
- Molecular Biology 8.6k
Countries citing papers authored by Yu‐Tzu Tai
This map shows the geographic impact of Yu‐Tzu 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 Yu‐Tzu Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Tzu Tai more than expected).
Fields of papers citing papers by Yu‐Tzu Tai
This network shows the impact of papers produced by Yu‐Tzu 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 Yu‐Tzu Tai. The network helps show where Yu‐Tzu Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu‐Tzu 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 | 2023 | 3 | |
| 2 | 2021 | 22 | |
| 3 | 2021 | 92 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 64 | |
| 7 | 2020 | 32 | |
| 8 | 2019 | 85 | |
| 9 | 2018 | 70 | |
| 10 | 2018 | 58 | |
| 11 | 2017 | 30 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2015 | 87 | |
| 15 | 2015 | 72 | |
| 16 | 2014 | 159 | |
| 17 | 2014 | 66 | |
| 18 | 2012 | 66 | |
| 19 | 2009 | 76 | |
| 20 | 2007 | 55 |
About Yu‐Tzu Tai
Yu‐Tzu Tai is a scholar working on Hematology, Oncology and Immunology, having authored 271 papers that have together received 15.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (184 papers), Protein Degradation and Inhibitors (51 papers), Peptidase Inhibition and Analysis (40 papers), Monoclonal and Polyclonal Antibodies Research (34 papers), Ubiquitin and proteasome pathways (27 papers), Immunotherapy and Immune Responses (26 papers), Cancer Mechanisms and Therapy (25 papers) and Chronic Lymphocytic Leukemia Research (23 papers). The work is most often cited by research in Hematology (7.1k citations), Oncology (6.6k citations) and Genetics (1.6k citations). Yu‐Tzu Tai has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Kenneth C. Anderson, Teru Hideshima, Nikhil C. Munshi, Dharminder Chauhan, Paul G. Richardson, Noopur Raje, Klaus Podar, Steven P. Treon, Robert Schlossman and Boris K. Lin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.