Matthew Ku
Impact in
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- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Lymphoma Diagnosis and Treatment 35
- Oncology 25
- CAR-T cell therapy research 21
- Viral-associated cancers and disorders 5
- Co-authors
- Chan Y. Cheah (15 shared papers)Sarit Assouline (8 shared papers)Lihua E. Budde (10 shared papers)Nancy L. Bartlett (9 shared papers)Stephen J. Schuster (8 shared papers)Michael C. Wei (7 shared papers)Shen Yin (6 shared papers)Laurie H. Sehn (7 shared papers)
- Journals
- Blood (14 papers)British Journal of Haematology (3 papers)Hematological Oncology (3 papers)Journal of Clinical Oncology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Matthew Ku
41 papers receiving 810 citations
Matthew Ku's Hit Papers
Peers
Comparison fields: 5 of 57
- Pathology and Forensic Medicine 531
- Genetics 262
- Oncology 526
- Immunology 184
- Hematology 89
Countries citing papers authored by Matthew Ku
This map shows the geographic impact of Matthew Ku'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 Matthew Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ku more than expected).
Fields of papers citing papers by Matthew Ku
This network shows the impact of papers produced by Matthew Ku. 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 Matthew Ku. The network helps show where Matthew Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Ku, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Safety and efficacy of mosunetuzumab, a bispecific antibody, in patients with relapsed or refractory follicular lymphoma: a single-arm, multicentre, phase 2 study Hit paper breakdown → | 2022 | 244 |
| 2 | 2019 | 144 | |
| 3 | 2015 | 96 | |
| 4 | 2020 | 27 | |
| 5 | 2016 | 27 | |
| 6 | 2011 | 26 | |
| 7 | 2014 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2022 | 21 | |
| 10 | 2022 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2016 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2015 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2020 | 8 |
About Matthew Ku
Matthew Ku is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 821 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (35 papers), CAR-T cell therapy research (21 papers), Chronic Lymphocytic Leukemia Research (20 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Viral-associated cancers and disorders (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (531 citations), Genetics (262 citations), Oncology (526 citations), Immunology (184 citations) and Hematology (89 citations). Matthew Ku has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Chan Y. Cheah, Sarit Assouline, Lihua E. Budde, Nancy L. Bartlett, Stephen J. Schuster, Michael C. Wei, Shen Yin, Laurie H. Sehn, Antonia Kwan and Constantine S. Tam. Their work appears in journals such as Blood, British Journal of Haematology, Hematological Oncology, Journal of Clinical Oncology and Clinical Cancer Research.
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.