Jane Apperley
Impact in
- Hematology top 0.01%
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Genetics top 0.01%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 477
- Chronic Myeloid Leukemia Treatments 322
- Hematopoietic Stem Cell Transplantation 142
- Acute Myeloid Leukemia Research 78
- Multiple Myeloma Research and Treatments 56
- Genetics 254
- Chronic Lymphocytic Leukemia Research 213
- Co-authors
- John M. Goldman (129 shared papers)Richard Szydlo (98 shared papers)Dragana Milojković (103 shared papers)Eduardo Olavarría (71 shared papers)Dietger W. Niederwieser (40 shared papers)David Marín (58 shared papers)Alois A. Gratwohl (43 shared papers)Jamshid Sorouri Khorashad (48 shared papers)
- Journals
- Blood (179 papers)British Journal of Haematology (58 papers)Bone Marrow Transplantation (52 papers)Leukemia (36 papers)Haematologica (23 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Jane Apperley
573 papers receiving 40.6k citations
Jane Apperley's Hit Papers
Peers
Comparison fields: 5 of 173
- Hematology 29.1k
- Genetics 14.5k
- Rheumatology 7.8k
- Oncology 7.4k
- Transplantation 601
Countries citing papers authored by Jane Apperley
This map shows the geographic impact of Jane 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 Jane Apperley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Apperley more than expected).
Fields of papers citing papers by Jane Apperley
This network shows the impact of papers produced by Jane 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 Jane Apperley. The network helps show where Jane Apperley may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane 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 587 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms Hit paper breakdown → | 2022 | 2560 |
| 2 | European LeukemiaNet recommendations for the management of chronic myeloid leukemia: 2013 Hit paper breakdown → | 2013 | 1614 |
| 3 | Defining the Intensity of Conditioning Regimens: Working Definitions Hit paper breakdown → | 2009 | 1506 |
| 4 | CRITERIA FOR EVALUATING DISEASE RESPONSE AND PROGRESSION IN PATIENTS WITH MULTIPLE MYELOMA TREATED BY HIGH‐DOSE THERAPY AND HAEMOPOIETIC STEM CELL TRANSPLANTATION Hit paper breakdown → | 1998 | 1378 |
| 5 | European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia Hit paper breakdown → | 2020 | 1080 |
| 6 | Chronic Myeloid Leukemia: An Update of Concepts and Management Recommendations of European LeukemiaNet Hit paper breakdown → | 2009 | 1050 |
| 7 | A Phase 2 Trial of Ponatinib in Philadelphia Chromosome–Positive Leukemias Hit paper breakdown → | 2013 | 940 |
| 8 | Adherence Is the Critical Factor for Achieving Molecular Responses in Patients With Chronic Myeloid Leukemia Who Achieve Complete Cytogenetic Responses on Imatinib Hit paper breakdown → | 2010 | 749 |
| 9 | Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity Hit paper breakdown → | 2016 | 721 |
| 10 | Apoptosis in mesenchymal stromal cells induces in vivo recipient-mediated immunomodulation Hit paper breakdown → | 2017 | 544 |
| 11 | 2002 | 528 | |
| 12 | 2007 | 506 | |
| 13 | 2006 | 501 | |
| 14 | 2008 | 479 | |
| 15 | Ponatinib efficacy and safety in Philadelphia chromosome–positive leukemia: final 5-year results of the phase 2 PACE trial Hit paper breakdown → | 2018 | 454 |
| 16 | 2009 | 419 | |
| 17 | 1994 | 418 | |
| 18 | 2011 | 394 | |
| 19 | Sickle cell disease: an international survey of results of HLA-identical sibling hematopoietic stem cell transplantation Hit paper breakdown → | 2016 | 375 |
| 20 | 2003 | 349 |
About Jane Apperley
Jane Apperley is a scholar working on Hematology, Genetics, Rheumatology, Oncology and Public Health, Environmental and Occupational Health, having authored 587 papers that have together received 41.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (322 papers), Chronic Lymphocytic Leukemia Research (213 papers), Hematopoietic Stem Cell Transplantation (142 papers), Eosinophilic Disorders and Syndromes (110 papers), Acute Lymphoblastic Leukemia research (84 papers), Acute Myeloid Leukemia Research (78 papers), Multiple Myeloma Research and Treatments (56 papers) and Lymphoma Diagnosis and Treatment (38 papers). The work is most often cited by research in Hematology (29.1k citations), Genetics (14.5k citations), Rheumatology (7.8k citations), Oncology (7.4k citations) and Transplantation (601 citations). Jane Apperley has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include John M. Goldman, Richard Szydlo, Dragana Milojković, Eduardo Olavarría, Dietger W. Niederwieser, David Marín, Alois A. Gratwohl, Jamshid Sorouri Khorashad, Alistair G. Reid and Marco Bua. Their work appears in journals such as Blood, British Journal of Haematology, Bone Marrow Transplantation, Leukemia and Haematologica.
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.