Joanne Ewing
Impact in
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Hemoglobinopathies and Related Disorders
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in ⓘ
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 9
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- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Adam J. Mead (6 shared papers)Steven Knapper (4 shared papers)Donal P. McLornan (4 shared papers)Claire Harrison (7 shared papers)Mary Frances McMullin (4 shared papers)David L. Eaton (2 shared papers)Anne Armstrong (2 shared papers)Mamta Garg (4 shared papers)
- Journals
- Blood (7 papers)British Journal of Haematology (5 papers)Expert Review of Vaccines (1 paper)Best Practice & Research Clinical Haematology (1 paper)Hematology (2 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Joanne Ewing
17 papers receiving 492 citations
Peers
Comparison fields: 5 of 63
- Genetics 260
- Hematology 208
- Rheumatology 127
- Immunology 91
- Pathology and Forensic Medicine 71
Countries citing papers authored by Joanne Ewing
This map shows the geographic impact of Joanne Ewing'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 Joanne Ewing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanne Ewing more than expected).
Fields of papers citing papers by Joanne Ewing
This network shows the impact of papers produced by Joanne Ewing. 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 Joanne Ewing. The network helps show where Joanne Ewing may publish in the future.
Co-authors
The 25 scholars most cited alongside Joanne Ewing, 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 | 2005 | 116 | |
| 2 | 2018 | 94 | |
| 3 | 2017 | 83 | |
| 4 | 2018 | 70 | |
| 5 | 2014 | 37 | |
| 6 | 2001 | 34 | |
| 7 | 2020 | 30 | |
| 8 | 2021 | 9 | |
| 9 | 2002 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2003 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2003 | 4 | |
| 14 | 2018 | 2 | |
| 15 | 2001 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2019 | 0 |
About Joanne Ewing
Joanne Ewing is a scholar working on Genetics, Hematology, Molecular Biology, Oncology and Rheumatology, having authored 19 papers that have together received 503 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Kruppel-like factors research (3 papers), Eosinophilic Disorders and Syndromes (3 papers), CAR-T cell therapy research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Genetics (260 citations), Hematology (208 citations), Rheumatology (127 citations), Immunology (91 citations) and Pathology and Forensic Medicine (71 citations). Joanne Ewing has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Adam J. Mead, Steven Knapper, Donal P. McLornan, Claire Harrison, Mary Frances McMullin, David L. Eaton, Anne Armstrong, Mamta Garg, Mallika Sekhar and Frederick Chen. Their work appears in journals such as Blood, British Journal of Haematology, Expert Review of Vaccines, Best Practice & Research Clinical Haematology and Hematology.
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.