Tzu‐Min Yeh
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Oncology 27
- CAR-T cell therapy research 24
- Hematology 18
- Multiple Myeloma Research and Treatments 18
- Co-authors
- Arnob Banerjee (16 shared papers)Saad Z. Usmani (16 shared papers)Sundar Jagannath (16 shared papers)Deepu Madduri (15 shared papers)Jesús G. Berdeja (14 shared papers)Enrique Zudaire (15 shared papers)Jordan M. Schecter (13 shared papers)Scott Evans (6 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)HemaSphere (3 papers)HIV Clinical Trials (3 papers)Blood (3 papers)Current Medical Research and Opinion (2 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
Tzu‐Min Yeh
36 papers receiving 501 citations
Peers
Comparison fields: 5 of 61
- Hematology 224
- Oncology 342
- Virology 37
- Immunology 86
- Biological Psychiatry 10
Countries citing papers authored by Tzu‐Min Yeh
This map shows the geographic impact of Tzu‐Min Yeh'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 Tzu‐Min Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu‐Min Yeh more than expected).
Fields of papers citing papers by Tzu‐Min Yeh
This network shows the impact of papers produced by Tzu‐Min Yeh. 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 Tzu‐Min Yeh. The network helps show where Tzu‐Min Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu‐Min Yeh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 83 | |
| 2 | 2023 | 71 | |
| 3 | 2020 | 63 | |
| 4 | 2021 | 34 | |
| 5 | 2010 | 28 | |
| 6 | 2021 | 26 | |
| 7 | 2007 | 25 | |
| 8 | 2010 | 22 | |
| 9 | 2007 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2020 | 5 |
About Tzu‐Min Yeh
Tzu‐Min Yeh is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Pathology and Forensic Medicine, having authored 38 papers that have together received 513 indexed citations. Recurring topics across this work include CAR-T cell therapy research (24 papers), Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (12 papers), Biosimilars and Bioanalytical Methods (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), HIV Research and Treatment (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Hematology (224 citations), Oncology (342 citations), Virology (37 citations), Immunology (86 citations) and Biological Psychiatry (10 citations). Tzu‐Min Yeh has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Arnob Banerjee, Saad Z. Usmani, Sundar Jagannath, Deepu Madduri, Jesús G. Berdeja, Enrique Zudaire, Jordan M. Schecter, Scott Evans, Andrzej Jakubowiak and Carolyn C. Jackson. Their work appears in journals such as Journal of Clinical Oncology, HemaSphere, HIV Clinical Trials, Blood and Current Medical Research and Opinion.
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.