Fiona M. Miall
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 32
- Genetics 16
- Chronic Lymphocytic Leukemia Research 16
- Co-authors
- Martin Dyer (8 shared papers)Kirit M. Ardeshna (6 shared papers)David C. Linch (4 shared papers)Jan Andrzej Walewski (5 shared papers)David Cunningham (5 shared papers)Wendi Qian (4 shared papers)Christopher Pocock (3 shared papers)June Warden (3 shared papers)
- Journals
- British Journal of Haematology (9 papers)Hematological Oncology (9 papers)Blood Advances (5 papers)Blood (4 papers)The Lancet Haematology (3 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Fiona M. Miall
42 papers receiving 968 citations
Peers
Comparison fields: 5 of 59
- Pathology and Forensic Medicine 674
- Genetics 326
- Oncology 423
- Neurology 207
- Reproductive Medicine 81
Countries citing papers authored by Fiona M. Miall
This map shows the geographic impact of Fiona M. Miall'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 Fiona M. Miall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona M. Miall more than expected).
Fields of papers citing papers by Fiona M. Miall
This network shows the impact of papers produced by Fiona M. Miall. 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 Fiona M. Miall. The network helps show where Fiona M. Miall may publish in the future.
Co-authors
The 25 scholars most cited alongside Fiona M. Miall, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 300 | |
| 2 | 2010 | 77 | |
| 3 | Timing of high-dose methotrexate CNS prophylaxis in DLBCL: a multicenter international analysis of 1384 patients | 2022 | 66 |
| 4 | 2013 | 61 | |
| 5 | 2010 | 57 | |
| 6 | 2018 | 49 | |
| 7 | 2011 | 40 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2004 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2005 | 17 | |
| 15 | 2024 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2024 | 13 | |
| 20 | 2002 | 10 |
About Fiona M. Miall
Fiona M. Miall is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Neurology and Immunology, having authored 44 papers that have together received 991 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (32 papers), Chronic Lymphocytic Leukemia Research (16 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Viral-associated cancers and disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lung Cancer Treatments and Mutations (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (674 citations), Genetics (326 citations), Oncology (423 citations), Neurology (207 citations) and Reproductive Medicine (81 citations). Fiona M. Miall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Martin Dyer, Kirit M. Ardeshna, David C. Linch, Jan Andrzej Walewski, David Cunningham, Wendi Qian, Christopher Pocock, June Warden, Paul Smith and John Maelor Davies. Their work appears in journals such as British Journal of Haematology, Hematological Oncology, Blood Advances, Blood and The Lancet 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.