Yu-Tzu Tai
- Molecular Biology top 10%
- Hematology top 1%
- Oncology top 5%
- Cancer Research top 5%
- Immunology top 10%
- Co-authors
- Kenneth C. AndersonAldo M. RoccaroAntonio SaccoPatricia MaisoEdie WellerDavid T. ScaddenFederico CampigottoAbdel Kareem Azab
- Topics
- Multiple Myeloma Research and Treatments (11 papers)Peptidase Inhibition and Analysis (3 papers)Cancer Mechanisms and Therapy (2 papers)
- Cited by
- HematologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Yu-Tzu Tai
19 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Molecular Biology 1.2k
- Hematology 632
- Oncology 565
- Cancer Research 428
- Immunology 382
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 of co-authors of Yu-Tzu Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Tzu Tai. A scholar is included among the top collaborators of Yu-Tzu Tai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Tzu Tai. Yu-Tzu Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 34 | |
| 3 | 14 | |
| 4 | BM mesenchymal stromal cell–derived exosomes facilitate multiple myeloma progressionbreakdown → | 645 |
| 5 | 42 | |
| 6 | 47 | |
| 7 | 216 | |
| 8 | 1 | |
| 9 | 54 | |
| 10 | 184 | |
| 11 | In vitro and in vivo activity of the VEGF receptor inhibitor PAZOPANIB (GW786034) in Multiple Myeloma: Therapeutic implications. | 3 |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 74 | |
| 15 | 188 | |
| 16 | 69 | |
| 17 | 154 | |
| 18 | 5 | |
| 19 | 4 |
About Yu-Tzu Tai
Yu-Tzu Tai is a scholar working on Hematology, Oncology and Genetics, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Hematology (632 citations), Cancer Research (428 citations) and Oncology (565 citations). Yu-Tzu Tai has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Kenneth C. Anderson, Aldo M. Roccaro, Antonio Sacco, Patricia Maiso, Edie Weller, David T. Scadden, Federico Campigotto, Abdel Kareem Azab, Michaela R. Reagan and Irene M. Ghobrial. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.