Jane Apperley
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments 11
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 3
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 4
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 6
- Immunology top 10%
- T-cell and B-cell Immunology 4
- Rheumatology top 10%
- Eosinophilic Disorders and Syndromes 5
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- Acute Lymphoblastic Leukemia research 7
- Co-authors
- J. HermansAloïs GratwohlJeff SzerD NiederwieserYoshihisa KoderaXiao‐Jun HuangArnon NaglerAndrea Bacigalupo
- Cited by
- HematologyTransplantationGenetics
- Journals
- Biology of Blood and Marrow Transplantation (4 papers)Blood (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Jane Apperley
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Hematology 845
- Transplantation 72
- Genetics 256
- Immunology 352
- Rheumatology 132
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 26 | |
| 3 | 2022 | 10 | |
| 4 | 2016 | 71 | |
| 5 | 2016 | 198 | |
| 6 | 2016 | 26 | |
| 7 | 2015 | 67 | |
| 8 | 2013 | 12 | |
| 9 | 2012 | 11 | |
| 10 | 2008 | 15 | |
| 11 | 2007 | 6 | |
| 12 | 2006 | 65 | |
| 13 | 2001 | 19 | |
| 14 | 2001 | 48 | |
| 15 | 2001 | 96 | |
| 16 | 2001 | 8 | |
| 17 | 1999 | 138 | |
| 18 | 1997 | 110 | |
| 19 | The European Group for Blood and Marrow Transplantation (EBMT): a report from the president and the chairmen of the working parties. | 1996 | 5 |
| 20 | 1995 | 137 |
About Jane Apperley
Jane Apperley is a scholar working on Hematology, Transplantation and Genetics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), T-cell and B-cell Immunology (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (845 citations), Transplantation (72 citations) and Genetics (256 citations). Jane Apperley has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include J. Hermans, Aloïs Gratwohl, Jeff Szer, D Niederwieser, Yoshihisa Kodera, Xiao‐Jun Huang, Arnon Nagler, Andrea Bacigalupo, Ephraim J. Fuchs and Dietger Niederwieser. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Journal of Clinical Oncology, Bone Marrow Transplantation and British Journal of Haematology.
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.