T. R. Bradley
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 16
- Genetics top 2%
- Virus-based gene therapy research 4
- Immunology top 2%
- Oncology top 5%
- Cancer Cells and Metastasis 9
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 6
- Biopolymer Synthesis and Applications 4
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- Erythrocyte Function and Pathophysiology 10
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- 3D Printing in Biomedical Research 5
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- Neonatal Respiratory Health Research 5
- Co-authors
- G. S. HodgsonMartin RosendaalD MetcalfWilliam A. RobinsonIvan BertoncelloE. Richard StanleyDeborah PatinkinA. Bartocci
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- AustraliaUnited StatesIndia
In The Last Decade
T. R. Bradley
64 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Hematology 1.3k
- Genetics 468
- Immunology 929
- Oncology 764
- Molecular Biology 976
Countries citing papers authored by T. R. Bradley
This map shows the geographic impact of T. R. Bradley'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. R. Bradley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. R. Bradley more than expected).
Fields of papers citing papers by T. R. Bradley
This network shows the impact of papers produced by T. R. Bradley. 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. R. Bradley. The network helps show where T. R. Bradley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. R. Bradley, 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 | 0 | |
| 2 | 2003 | 6 | |
| 3 | 1991 | 5 | |
| 4 | 1987 | 11 | |
| 5 | Generation of murine hematopoietic precursor cells from macrophage high-proliferative-potential colony-forming cells. | 1987 | 46 |
| 6 | 1986 | 19 | |
| 7 | Generation of CFU-S13 in vitro. | 1985 | 12 |
| 8 | 1980 | 147 | |
| 9 | 1979 | 147 | |
| 10 | Cytotoxicity of an 125I-labeled DNA-binding compound that induces double-stranded DNA breaks. | 1979 | 39 |
| 11 | 1971 | 43 | |
| 12 | 1971 | 57 | |
| 13 | 1969 | 4 | |
| 14 | 1968 | 96 | |
| 15 | 1967 | 35 | |
| 16 | 1967 | 23 | |
| 17 | 1965 | 1 | |
| 18 | 1962 | 23 | |
| 19 | 1956 | 5 | |
| 20 | 1954 | 1 |
About T. R. Bradley
T. R. Bradley is a scholar working on Hematology, Oncology and Genetics, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), Erythrocyte Function and Pathophysiology (10 papers), Cancer Cells and Metastasis (9 papers), RNA Interference and Gene Delivery (6 papers), 3D Printing in Biomedical Research (5 papers), Neonatal Respiratory Health Research (5 papers), Virus-based gene therapy research (4 papers) and Biopolymer Synthesis and Applications (4 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (468 citations) and Immunology (929 citations). T. R. Bradley has collaborated with scholars based in Australia, United States and India. Frequent co-authors include G. S. Hodgson, Martin Rosendaal, D Metcalf, William A. Robinson, Ivan Bertoncello, E. Richard Stanley, Deborah Patinkin, A. Bartocci, Margaret A. Sumner and A. B. Kriegler.
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.