Margaret Garson

407 citations
9 papers · 352 indexed · h-index 7

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Cancer Genomics and Diagnostics

Papers in

    • Chronic Lymphocytic Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 3

Margaret Garson

9 papers receiving 341 citations

Peers

Margaret Garson
Comparison fields: 5 of 45
  • Hematology 96
  • Cancer Research 75
  • Oncology 114
  • Public Health, Environmental and Occupational Health 88
  • Genetics 75
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W.L. Neuman United States
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Mauri Keinänen Finland
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P Jonveaux France
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F. Mitelman United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Margaret Garson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Margaret Garson Line = papers co-authored together Margaret Garson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 19937
2
Prognostic significance of the balanced t(1;19) and unbalanced der(19)t(1;19) translocations in acute lymphoblastic leukemia.
199267
3 1990124
4
Heterogeneous cytogenetic abnormalities in small cell lung cancer cell lines.
198748
5 19864
6 198639
7 198249
8 197110
9 19574

About Margaret Garson

Margaret Garson is a scholar working on Genetics, Hematology, Management of Technology and Innovation, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), interferon and immune responses (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Viral-associated cancers and disorders (1 paper), Ubiquitin and proteasome pathways (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Hematology (96 citations), Cancer Research (75 citations), Oncology (114 citations), Public Health, Environmental and Occupational Health (88 citations) and Genetics (75 citations). Margaret Garson has collaborated with scholars based in Australia, South Korea and India. Frequent co-authors include Suzanne Hasthorpe, Louis Irving, Robyn Lukeis, N. Kraft, T. R. Bradley, G. S. Hodgson, Jacqueline Brown, Joy Gardner, George Morstyn and Ulrike Novak. Their work appears in journals such as British Journal of Haematology, The Medical Journal of Australia, 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.

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