JF Apperley
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 21
- Hematopoietic Stem Cell Transplantation 15
- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 4
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- Pluripotent Stem Cells Research 3
- Co-authors
- Aloïs Gratwohl (8 shared papers)JM Goldman (6 shared papers)Per Ljungman (5 shared papers)Richard Szydlo (4 shared papers)Dietger Niederwieser (3 shared papers)DA Williams (2 shared papers)Tapani Ruutu (1 shared paper)Gèrard Socié (2 shared papers)
- Journals
- Blood (12 papers)Bone Marrow Transplantation (7 papers)Stem Cells (1 paper)The Lancet (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
JF Apperley
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 60
- Hematology 973
- Genetics 263
- Transplantation 50
- Immunology 288
- Public Health, Environmental and Occupational Health 345
Countries citing papers authored by JF Apperley
This map shows the geographic impact of JF 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 JF Apperley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JF Apperley more than expected).
Fields of papers citing papers by JF Apperley
This network shows the impact of papers produced by JF 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 JF Apperley. The network helps show where JF Apperley may publish in the future.
Co-authors
The 25 scholars most cited alongside JF 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 256 | |
| 2 | 1998 | 209 | |
| 3 | 1986 | 130 | |
| 4 | 1998 | 96 | |
| 5 | 1997 | 94 | |
| 6 | 1988 | 89 | |
| 7 | 1993 | 78 | |
| 8 | 1993 | 71 | |
| 9 | 1991 | 69 | |
| 10 | 1997 | 57 | |
| 11 | 1997 | 48 | |
| 12 | 1992 | 44 | |
| 13 | 1992 | 40 | |
| 14 | 2000 | 28 | |
| 15 | 1999 | 22 | |
| 16 | 1998 | 19 | |
| 17 | 1997 | 15 | |
| 18 | 1991 | 7 | |
| 19 | 1995 | 7 | |
| 20 | 1986 | 6 |
About JF Apperley
JF Apperley is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Chronic Myeloid Leukemia Treatments (8 papers), Acute Myeloid Leukemia Research (4 papers), Pluripotent Stem Cells Research (3 papers), T-cell and B-cell Immunology (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Neutropenia and Cancer Infections (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hematology (973 citations), Genetics (263 citations), Transplantation (50 citations), Immunology (288 citations) and Public Health, Environmental and Occupational Health (345 citations). JF Apperley has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent co-authors include Aloïs Gratwohl, JM Goldman, Per Ljungman, Richard Szydlo, Dietger Niederwieser, DA Williams, Tapani Ruutu, Gèrard Socié, B. Rio and R Chatterjee. Their work appears in journals such as Blood, Bone Marrow Transplantation, Stem Cells, The Lancet and British 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.