T. Ming Chu
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Treatment and Research 22
- Prostate Cancer Diagnosis and Treatment 11
- Oncology top 2%
- Bone health and treatments 9
- Pancreatic and Hepatic Oncology Research 8
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 9
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 19
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- Monoclonal and Polyclonal Antibodies Research 25
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- Immunotherapy and Immune Responses 8
- Co-authors
- Susan S. LeongJulius S. HoroszewiczElzbieta KawinskiG.P. MurphyJames P. KarrE. A. MirandHannah RosenthalG P Murphy
- Partner nations
- United StatesFranceJapan
In The Last Decade
T. Ming Chu
111 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Pulmonary and Respiratory Medicine 2.3k
- Oncology 1.3k
- Cancer Research 719
- Molecular Biology 2.4k
- Radiology, Nuclear Medicine and Imaging 723
Countries citing papers authored by T. Ming Chu
This map shows the geographic impact of T. Ming Chu'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 T. Ming Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ming Chu more than expected).
Fields of papers citing papers by T. Ming Chu
This network shows the impact of papers produced by T. Ming Chu. 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 T. Ming Chu. The network helps show where T. Ming Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Ming Chu, 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 | 2009 | 38 | |
| 2 | 2006 | 34 | |
| 3 | 2001 | 52 | |
| 4 | 2000 | 25 | |
| 5 | PSA and acid phosphatase in the diagnosis of prostate cancer | 1998 | 23 |
| 6 | 1998 | 50 | |
| 7 | 1997 | 34 | |
| 8 | 1997 | 19 | |
| 9 | 1994 | 18 | |
| 10 | 1990 | 12 | |
| 11 | 1988 | 9 | |
| 12 | 1987 | 15 | |
| 13 | 1984 | 6 | |
| 14 | 1983 | 11 | |
| 15 | 1981 | 8 | |
| 16 | 1980 | 17 | |
| 17 | 1980 | 3 | |
| 18 | 1978 | 20 | |
| 19 | Tumor antigen and acid phosphatase isoenzyme in prostatic cancer. | 1975 | 13 |
| 20 | 1973 | 74 |
About T. Ming Chu
T. Ming Chu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Aging, Cancer Research and Biotechnology, having authored 113 papers that have together received 5.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Prostate Cancer Treatment and Research (22 papers), Glycosylation and Glycoproteins Research (19 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Bone health and treatments (9 papers), Cancer, Lipids, and Metabolism (9 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.3k citations), Oncology (1.3k citations), Cancer Research (719 citations), Molecular Biology (2.4k citations) and Radiology, Nuclear Medicine and Imaging (723 citations). T. Ming Chu has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Susan S. Leong, Julius S. Horoszewicz, Elzbieta Kawinski, G.P. Murphy, James P. Karr, E. A. Mirand, Hannah Rosenthal, G P Murphy, Lawrence D. Papsidero and Luis Valenzuela. Their work appears in journals such as The Journal of Urology, Cancer, The Prostate, Annals of the New York Academy of Sciences and Journal of Clinical Laboratory Analysis.
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.