J. Apperley

859 citations
5 papers · 509 · h-index 2

Impact in

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

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Chronic Myeloid Leukemia Treatments 1
    • Multiple Myeloma Research and Treatments 1
    • Immunodeficiency and Autoimmune Disorders 2
    • T-cell and B-cell Immunology 1
    • Immune Cell Function and Interaction 1
    • Immune Response and Inflammation 1

J. Apperley

3 papers receiving 479 citations

Peers

J. Apperley
Comparison fields: 5 of 47
  • Hematology 444
  • Genetics 212
  • Rheumatology 140
  • Transplantation 16
  • Public Health, Environmental and Occupational Health 81
Replace Léonardo Magro with:
Léonardo Magro France
Heike Schieder Germany
Ki‐Sung Eom South Korea
D. Niederwieser Germany
H. J. Kolb Germany
K Miyamura Japan
Woo‐Sung Min South Korea
Eiji Usui Japan
Igor‐Wolfgang Blau Germany
J. Kurtzberg United States
J. Apperley relative to Léonardo Magro France Léonardo Magro's profile →
Citations per field
00.5×
Léonardo Magro · 1×
Citations per year

Countries citing papers authored by J. Apperley

Since Specialization
Citations

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

Fields of papers citing papers by J. Apperley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside J. Apperley, 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 J. Apperley Line = papers co-authored together J. Apperley links everyone, so they are left out of the graph.

All Works

About J. Apperley

J. Apperley is a scholar working on Hematology, Immunology, Genetics, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 509 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), T-cell and B-cell Immunology (1 paper), Immune Cell Function and Interaction (1 paper), Immune Response and Inflammation (1 paper) and Multiple Myeloma Research and Treatments (1 paper). The work is most often cited by research in Hematology (444 citations), Genetics (212 citations), Rheumatology (140 citations), Transplantation (16 citations) and Public Health, Environmental and Occupational Health (81 citations). J. Apperley has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include William Arcese, Francesco Frassoni, HJ Kolb, Tapani Ruutu, Aloïs Gratwohl, T. de Witte, A Devergié, Vernant Jp, D Niederwieser and J. Hermans. Their work appears in journals such as The Lancet, European Journal of Cancer and Leukemia Research.

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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