Yu‐Tzu Tai

25.9k citations
271 papers · 15.1k indexed · 7 hit papers · h-index 67
Topics
Multiple Myeloma Research and Treatments (184 papers)Protein Degradation and Inhibitors (51 papers)Peptidase Inhibition and Analysis (40 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Yu‐Tzu Tai

265 papers receiving 14.9k citations

Hit Papers

Neuropilin Is a Semaphorin III Receptor1997202620062016199720102001200020032505007501000

Peers

Yu‐Tzu Tai
Comparison fields: 5 of 134
  • Molecular Biology 8.6k
  • Hematology 7.1k
  • Oncology 6.6k
  • Immunology 2.9k
  • Genetics 1.6k
Replace Catriona Jamieson with:
Catriona Jamieson United States
Hirofumi Hamada Japan
Andrius Kazlauskas United States
William Matsui United States
Bruno Calabretta United States
Atanasio Pandiella Spain
Martin J.S. Dyer United Kingdom
Gabriele Bergers United States
Wun-Jing Kuang United States
Lars Rönnstrand Sweden
Yu‐Tzu Tai relative to Catriona Jamieson United States Catriona Jamieson's profile →
Citations per field
00.5×1.5×2.1×
Catriona Jamieson · 1×
Citations per year

Countries citing papers authored by Yu‐Tzu Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 22
3 92
4 12
5 21
6 64
7 32
8 85
9 70
10 58
11 30
12 2
13 1
14 87
15 72
16 159
17 66
18 66
19 76
20 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) and Peptidase Inhibition and Analysis (40 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.

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