Helen Eagleton

400 citations
14 papers · 282 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Blood disorders and treatments 2
    • Acute Myeloid Leukemia Research 2
    • Hematopoietic Stem Cell Transplantation 1

Helen Eagleton

12 papers receiving 271 citations

Peers

Helen Eagleton
Comparison fields: 5 of 51
  • Hematology 122
  • Genetics 80
  • Internal Medicine 12
  • Immunology 57
  • Pathology and Forensic Medicine 35
Replace Christos Poziopoulos with:
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Helen Eagleton relative to Christos Poziopoulos Greece Christos Poziopoulos's profile →
Citations per field
00.5×3.2×
Christos Poziopoulos · 1×
Citations per year

Countries citing papers authored by Helen Eagleton

Since Specialization
Citations

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

Fields of papers citing papers by Helen Eagleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200468
2 200645
3
Gene expression profiling in polycythemia vera using cDNA microarray technology.
200344
4 202032
5 200328
6 200622
7 200413
8 200412
9
Update on the clinical use and misuse of erythropoietin.
200310
10 20153
11 20163
12
Neutrophil PRV-1 gene expression in myeloproliferative, myelodysplastic and reactive blood disorders
20041
13 20041
14 20110

About Helen Eagleton

Helen Eagleton is a scholar working on Genetics, Hematology, Immunology, Molecular Biology and Oncology, having authored 14 papers that have together received 282 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Blood disorders and treatments (2 papers), Vitamin K Research Studies (1 paper), Galectins and Cancer Biology (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Hematology (122 citations), Genetics (80 citations), Internal Medicine (12 citations), Immunology (57 citations) and Pathology and Forensic Medicine (35 citations). Helen Eagleton has collaborated with scholars based in United Kingdom and Croatia. Frequent co-authors include James S. Wainscoat, Jacqueline Boultwood, Andrea Pellagatti, David Vetrie, Carrie Fidler, Cordelia F. Langford, Timothy J. Littlewood, Tim Littlewood, Andy Peniket and Fiona Watkins. Their work appears in journals such as British Journal of Haematology, BMJ, European Journal Of Haematology, Blood and Leukemia.

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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