J. Apperley

855 citations
4 papers · 481 · 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

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Chronic Myeloid Leukemia Treatments 1
    • Multiple Myeloma Research and Treatments 1
    • Immunodeficiency and Autoimmune Disorders 1
    • Immune Response and Inflammation 1
    • Immune Cell Function and Interaction 1

J. Apperley

2 papers receiving 459 citations

Peers

J. Apperley
Comparison fields: 5 of 48
  • Hematology 428
  • Genetics 219
  • Rheumatology 150
  • Transplantation 18
  • Public Health, Environmental and Occupational Health 98
Replace AH Elmaagacli with:
AH Elmaagacli Germany
Jean W. Bjerke United States
Monica Soracco Italy
Péter Reményi Hungary
Léonardo Magro France
D. Niederwieser Germany
H. J. Kolb Germany
K Miyamura Japan
Josep Sarrà Spain
Ku S United States
J. Apperley relative to AH Elmaagacli Germany AH Elmaagacli's profile →
Citations per field
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AH Elmaagacli · 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 22 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, Rheumatology and Infectious Diseases, having authored 4 papers that have together received 481 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Multiple Myeloma Research and Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Immune Response and Inflammation (1 paper), Immune Cell Function and Interaction (1 paper) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Hematology (428 citations), Genetics (219 citations), Rheumatology (150 citations), Transplantation (18 citations) and Public Health, Environmental and Occupational Health (98 citations). J. Apperley has collaborated with scholars based in United Kingdom, Finland and Switzerland. Frequent co-authors include JM Goldman, Vernant Jp, Enric Carreras, HJ Kolb, William Arcese, A Devergié, Francesco Frassoni, T. de Witte, Aloïs Gratwohl and Tapani Ruutu. Their work appears in journals such as The Lancet, Leukemia Research and European Journal of Cancer.

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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