Margaret Garson
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Cancer Genomics and Diagnostics
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 3
- Forensic and Genetic Research 1
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- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Suzanne Hasthorpe (1 shared paper)Robyn Lukeis (1 shared paper)Louis Irving (1 shared paper)G. S. Hodgson (1 shared paper)N. Kraft (1 shared paper)T. R. Bradley (1 shared paper)George Morstyn (1 shared paper)Joy Gardner (1 shared paper)
- Journals
- The Medical Journal of Australia (1 paper)Genes Chromosomes and Cancer (1 paper)Leukemia Research (1 paper)Immunogenetics (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- AustraliaSouth KoreaUnited States
In The Last Decade
Margaret Garson
9 papers receiving 341 citations
Peers
Comparison fields: 5 of 45
- Hematology 86
- Cancer Research 74
- Oncology 112
- Public Health, Environmental and Occupational Health 87
- Genetics 74
Countries citing papers authored by Margaret Garson
This map shows the geographic impact of Margaret Garson'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 Margaret Garson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Garson more than expected).
Fields of papers citing papers by Margaret Garson
This network shows the impact of papers produced by Margaret Garson. 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 Margaret Garson. The network helps show where Margaret Garson may publish in the future.
Co-authors
The 25 scholars most cited alongside Margaret Garson, 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 | 1990 | 124 | |
| 2 | Prognostic significance of the balanced t(1;19) and unbalanced der(19)t(1;19) translocations in acute lymphoblastic leukemia. | 1992 | 67 |
| 3 | 1982 | 49 | |
| 4 | Heterogeneous cytogenetic abnormalities in small cell lung cancer cell lines. | 1987 | 48 |
| 5 | 1986 | 39 | |
| 6 | 1971 | 10 | |
| 7 | 1993 | 7 | |
| 8 | 1986 | 4 | |
| 9 | 1957 | 4 |
About Margaret Garson
Margaret Garson is a scholar working on Genetics, Hematology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Oncology, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper), Forensic and Genetic Research (1 paper), Blood donation and transfusion practices (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Hematology (86 citations), Cancer Research (74 citations), Oncology (112 citations), Public Health, Environmental and Occupational Health (87 citations) and Genetics (74 citations). Margaret Garson has collaborated with scholars based in Australia, South Korea and United States. Frequent co-authors include Suzanne Hasthorpe, Robyn Lukeis, Louis Irving, G. S. Hodgson, N. Kraft, T. R. Bradley, George Morstyn, Joy Gardner, Ulrike Novak and Jacqueline Brown. Their work appears in journals such as The Medical Journal of Australia, Genes Chromosomes and Cancer, Leukemia Research, Immunogenetics and Journal of Medical Genetics.
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.