T. Ming Chu
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- Prostate Cancer Treatment and Research 8
- Oncology top 5%
- Lung Cancer Research Studies 5
- Pancreatic and Hepatic Oncology Research 3
- Rheumatology top 5%
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- Monoclonal and Polyclonal Antibodies Research 13
- Radiopharmaceutical Chemistry and Applications 7
- Immunology top 10%
- Immunotherapy and Immune Responses 5
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- Glycosylation and Glycoproteins Research 13
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- Neuroendocrine Tumor Research Advances 4
- Co-authors
- Gerald P. MurphyLawrence D. PapsideroE. Douglas HolyokeAlbert CastroAzorides R. MoralesMehrdad NadjiSeyed Ziaeddin TabeiGustavo Reynoso
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
T. Ming Chu
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 106
- Pulmonary and Respiratory Medicine 849
- Oncology 625
- Rheumatology 269
- Radiology, Nuclear Medicine and Imaging 402
- Immunology 311
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 | 2023 | 13 | |
| 2 | 1996 | 39 | |
| 3 | 1993 | 59 | |
| 4 | 1993 | 4 | |
| 5 | 1991 | 7 | |
| 6 | 1991 | 11 | |
| 7 | Enhancement of murine lymphokine-activated killer cell activity by retinoic acid. | 1990 | 11 |
| 8 | 1989 | 11 | |
| 9 | 1987 | 13 | |
| 10 | Simultaneous evaluation of a pancreas-specific antigen and a pancreatic cancer-associated antigen in pancreatic carcinoma. | 1984 | 9 |
| 11 | 1983 | 41 | |
| 12 | 1983 | 4 | |
| 13 | 1982 | 10 | |
| 14 | 1979 | 25 | |
| 15 | 1979 | 69 | |
| 16 | 1976 | 3 | |
| 17 | Demonstration of two molecular variants of carcinoembryonic antigen by concanavalin A sepharose affinity chromatography. | 1975 | 23 |
| 18 | 1975 | 23 | |
| 19 | 1974 | 5 | |
| 20 | 1971 | 33 |
About T. Ming Chu
T. Ming Chu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Prostate Cancer Treatment and Research (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Immunotherapy and Immune Responses (5 papers), Lung Cancer Research Studies (5 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (849 citations), Oncology (625 citations) and Rheumatology (269 citations). T. Ming Chu has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Gerald P. Murphy, Lawrence D. Papsidero, E. Douglas Holyoke, Albert Castro, Azorides R. Morales, Mehrdad Nadji, Seyed Ziaeddin Tabei, Gustavo Reynoso, Miguel A. Rubio and Ming C. Wang. Their work appears in journals such as Nature, The Lancet 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.