J. Apperley
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
Papers in
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- Hematopoietic Stem Cell Transplantation 8
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- Cytomegalovirus and herpesvirus research 2
- Sepsis Diagnosis and Treatment 1
- Bone fractures and treatments 1
- Co-authors
- John M. Goldman (5 shared papers)Francesco Frassoni (2 shared papers)Alois A. Gratwohl (1 shared paper)HJ Kolb (1 shared paper)William Arcese (1 shared paper)J. Hermans (1 shared paper)Jean‐Paul Vernant (1 shared paper)Dietger W. Niederwieser (1 shared paper)
- Journals
- The Lancet (4 papers)Leukemia Research (1 paper)European Journal of Cancer (1 paper)Haematologica (1 paper)BMJ (1 paper)
- Partner nations
- United KingdomAustriaSwitzerland
In The Last Decade
J. Apperley
10 papers receiving 650 citations
J. Apperley's Hit Papers
Peers
Comparison fields: 5 of 53
- Hematology 549
- Genetics 24
- Oncology 39
- Pathology and Forensic Medicine 16
- Epidemiology 30
Countries citing papers authored by J. Apperley
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
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 25 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Risk assessment for patients with chronic myeloid leukaemia before allogeneic blood or marrow transplantation Hit paper breakdown → | 1998 | 523 |
| 2 | 1995 | 48 | |
| 3 | 1985 | 32 | |
| 4 | 1987 | 30 | |
| 5 | 2013 | 21 | |
| 6 | 1985 | 20 | |
| 7 | 1985 | 10 | |
| 8 | Non-myeloablative stem cell transplant (NMSCT) in AML, ALL, and MDS: Disappointing outcome for patients with advanced phase disease. | 2000 | 3 |
| 9 | Autologous bone marrow transplantation for patients with myelodysplastic syndrome (MDS) or acute myeloid leukemia following MDS | 1997 | 2 |
| 10 | 1985 | 1 | |
| 11 | 1986 | 1 | |
| 12 | 1999 | 0 |
About J. Apperley
J. Apperley is a scholar working on Hematology, Epidemiology, Endocrinology, Statistics, Probability and Uncertainty and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 691 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Cytomegalovirus and herpesvirus research (2 papers), Escherichia coli research studies (1 paper), Polyomavirus and related diseases (1 paper), Child Abuse and Related Trauma (1 paper), Sepsis Diagnosis and Treatment (1 paper), Bone fractures and treatments (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Hematology (549 citations), Genetics (24 citations), Oncology (39 citations), Pathology and Forensic Medicine (16 citations) and Epidemiology (30 citations). J. Apperley has collaborated with scholars based in United Kingdom, Austria and Switzerland. Frequent co-authors include John M. Goldman, Francesco Frassoni, Alois A. Gratwohl, HJ Kolb, William Arcese, J. Hermans, Jean‐Paul Vernant, Dietger W. Niederwieser, Gösta Gahrton and Enric Carreras. Their work appears in journals such as The Lancet, Leukemia Research, European Journal of Cancer, Haematologica and BMJ.
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.