TM Dexter
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 26
- Chronic Myeloid Leukemia Treatments 5
- Genetics top 2%
- Mesenchymal stem cell research 8
- Virus-based gene therapy research 6
- Oncology top 2%
- Cancer Cells and Metastasis 5
- Immunology top 2%
- Immune cells in cancer 6
- Genetics top 5%
- Mesenchymal stem cell research 8
- Virus-based gene therapy research 6
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- Erythrocyte Function and Pathophysiology 11
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- Hematological disorders and diagnostics 5
- Co-authors
- Graham MolineuxZygmunt PojdaD. CrowtherB. I. LordNG TestaMaria GilleeceN. Kirby AltonJ.H. Scarffe
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
TM Dexter
58 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Hematology 1.6k
- Genetics 588
- Oncology 1.3k
- Immunology 970
- Genetics 642
Countries citing papers authored by TM Dexter
This map shows the geographic impact of TM Dexter'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 TM Dexter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TM Dexter more than expected).
Fields of papers citing papers by TM Dexter
This network shows the impact of papers produced by TM Dexter. 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 TM Dexter. The network helps show where TM Dexter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside TM Dexter, 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 | 1999 | 13 | |
| 2 | 1999 | 2 | |
| 3 | 1998 | 27 | |
| 4 | 1998 | 1 | |
| 5 | 1998 | 38 | |
| 6 | 1998 | 15 | |
| 7 | 1993 | 113 | |
| 8 | 1993 | 18 | |
| 9 | 1992 | 76 | |
| 10 | 1992 | 8 | |
| 11 | 1991 | 146 | |
| 12 | 1989 | 207 | |
| 13 | Effects of long-term in vivo treatment of mice with purified murine recombinant GM-CSF. | 1989 | 25 |
| 14 | 1988 | 156 | |
| 15 | 1988 | 24 | |
| 16 | Phase I/II study of recombinant human granulocyte colony-stimulating factor in patients receiving intensive chemotherapy for small cell lung cancerbreakdown → | 1987 | 473 |
| 17 | 1986 | 3 | |
| 18 | 1985 | 6 | |
| 19 | Transplantation of long-term cultured bone marrow cells. | 1983 | 15 |
| 20 | 1980 | 3 |
About TM Dexter
TM Dexter is a scholar working on Hematology, Genetics and Immunology, having authored 58 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (26 papers), Erythrocyte Function and Pathophysiology (11 papers), Mesenchymal stem cell research (8 papers), Virus-based gene therapy research (6 papers), Immune cells in cancer (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer Cells and Metastasis (5 papers) and Hematological disorders and diagnostics (5 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (588 citations) and Oncology (1.3k citations). TM Dexter has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Graham Molineux, Zygmunt Pojda, D. Crowther, B. I. Lord, NG Testa, Maria Gilleece, N. Kirby Alton, J.H. Scarffe, Nicholas Thatcher and Elaine Spooncer. Their work appears in journals such as Blood, Leukemia, British Journal of Cancer, Gene Therapy and Oncogene.
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.