DA Galton

538 citations
11 papers · 431 · h-index 6

Impact in

  • Hematology top 2%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 5
    • Hematopoietic Stem Cell Transplantation 2
    • Chronic Lymphocytic Leukemia Research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

DA Galton

11 papers receiving 396 citations

Peers

DA Galton
Comparison fields: 5 of 36
  • Hematology 395
  • Genetics 262
  • Rheumatology 91
  • Public Health, Environmental and Occupational Health 78
  • Pathology and Forensic Medicine 37
Replace J. Tavares de Castro with:
J. Tavares de Castro United Kingdom
D. Snyder United States
G. Penfold South Africa
A. Cantù Rajnoldi Italy
G.W. Dewald United States
V. Parlier Switzerland
Marilena Caresana Italy
J. Shan United States
J. Ritterbach Germany
Seo Ej South Korea
DA Galton relative to J. Tavares de Castro United Kingdom J. Tavares de Castro's profile →
Citations per field
00.5×1.5×2.1×
J. Tavares de Castro · 1×
Citations per year

Countries citing papers authored by DA Galton

Since Specialization
Citations

This map shows the geographic impact of DA Galton'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 DA Galton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites DA Galton more than expected).

Fields of papers citing papers by DA Galton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DA Galton. 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 DA Galton. The network helps show where DA Galton may publish in the future.

Co-authors

The 25 scholars most cited alongside DA Galton, 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 DA Galton Line = papers co-authored together DA Galton links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1981114
2 198596
3 198676
4 198868
5 197634
6 197527
7 19854
8 19904
9 19904
10 19813
11 19881

About DA Galton

DA Galton is a scholar working on Hematology, Genetics, Rheumatology, Oncology and Immunology, having authored 11 papers that have together received 431 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Neutropenia and Cancer Infections (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Hematology (395 citations), Genetics (262 citations), Rheumatology (91 citations), Public Health, Environmental and Occupational Health (78 citations) and Pathology and Forensic Medicine (37 citations). DA Galton has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include D Catovsky, BJ Bain, SR McCann, H. G. Prentice, E. Lawlor, Maureen M. O’Brien, E Matutes, Michele Baccarani, GA Gomez and Francisco Cervantes. Their work appears in journals such as Blood.

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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