Elisabeth Vandenberghe
- Hematology top 1%
- Acute Myeloid Leukemia Research 17
- Chronic Myeloid Leukemia Treatments 14
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 42
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
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- Lymphoma Diagnosis and Treatment 48
- Oncology top 5%
- Viral-associated cancers and disorders 16
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders 12
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- Acute Lymphoblastic Leukemia research 11
- Co-authors
- Gill WilsonAnne GoodeveMamdooh GariPeter R. WinshipJohn T. ReillyI. R. PeakeStephen E. LangabeerDavid C. Rees
- Partner nations
- IrelandUnited KingdomBelgium
In The Last Decade
Elisabeth Vandenberghe
89 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 77
- Hematology 1.0k
- Genetics 890
- Pathology and Forensic Medicine 891
- Oncology 672
- Immunology 405
Countries citing papers authored by Elisabeth Vandenberghe
This map shows the geographic impact of Elisabeth Vandenberghe'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 Elisabeth Vandenberghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Vandenberghe more than expected).
Fields of papers citing papers by Elisabeth Vandenberghe
This network shows the impact of papers produced by Elisabeth Vandenberghe. 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 Elisabeth Vandenberghe. The network helps show where Elisabeth Vandenberghe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elisabeth Vandenberghe, 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 | 2020 | 3 | |
| 2 | 2020 | 2 | |
| 3 | 2018 | 6 | |
| 4 | 2018 | 2 | |
| 5 | 2017 | 17 | |
| 6 | 2015 | 3 | |
| 7 | 2012 | 23 | |
| 8 | 2010 | 7 | |
| 9 | 2010 | 27 | |
| 10 | 2009 | 30 | |
| 11 | 2009 | 61 | |
| 12 | 2004 | 34 | |
| 13 | 2003 | 118 | |
| 14 | High dose chemotherapy : principles and practice | 2002 | 4 |
| 15 | Tumour cells isolated from patients with multiple myeloma express the critical osteoclastogenic factor, RANKL. | 2000 | 13 |
| 16 | Total CD34 yield and CFU-GM as mobolisation and subsequent engraftment after high dose chemotherapy. | 1999 | 64 |
| 17 | 1992 | 11 | |
| 18 | 1992 | 46 | |
| 19 | 1991 | 34 | |
| 20 | 1990 | 11 |
About Elisabeth Vandenberghe
Elisabeth Vandenberghe is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (48 papers), Chronic Lymphocytic Leukemia Research (42 papers), Acute Myeloid Leukemia Research (17 papers), Viral-associated cancers and disorders (16 papers), Chronic Myeloid Leukemia Treatments (14 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Acute Lymphoblastic Leukemia research (11 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). The work is most often cited by research in Hematology (1.0k citations), Genetics (890 citations) and Pathology and Forensic Medicine (891 citations). Elisabeth Vandenberghe has collaborated with scholars based in Ireland, United Kingdom and Belgium. Frequent co-authors include Gill Wilson, Anne Goodeve, Mamdooh Gari, Peter R. Winship, John T. Reilly, I. R. Peake, Stephen E. Langabeer, David C. Rees, Jan Delabie and Herman Van den Berghe. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer Research.
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.