Elaine Boyd
Impact in
- Genetics top 0.1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
- Chronic Lymphocytic Leukemia Research
- Hematology top 0.2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Genetics 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 1
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- Chronic Myeloid Leukemia Treatments 5
- Co-authors
- Anthony J. Bench (8 shared papers)Linda M. Scott (4 shared papers)Clare East (4 shared papers)George S. Vassiliou (4 shared papers)Peter J. Campbell (4 shared papers)S Swanton (2 shared papers)E. Joanna Baxter (2 shared papers)Nasios Fourouclas (2 shared papers)
- Journals
- British Journal of Haematology (4 papers)The Lancet (3 papers)Blood (1 paper)Applied Linguistics (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Elaine Boyd
9 papers receiving 4.1k citations
Elaine Boyd's Hit Papers
Peers
Comparison fields: 5 of 78
- Genetics 3.7k
- Hematology 2.4k
- Rheumatology 1.6k
- Molecular Biology 2.3k
- Oncology 618
Countries citing papers authored by Elaine Boyd
This map shows the geographic impact of Elaine Boyd'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 Elaine Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elaine Boyd more than expected).
Fields of papers citing papers by Elaine Boyd
This network shows the impact of papers produced by Elaine Boyd. 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 Elaine Boyd. The network helps show where Elaine Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Elaine Boyd, 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 | Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders Hit paper breakdown → | 2005 | 2554 |
| 2 | Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders Hit paper breakdown → | 2005 | 846 |
| 3 | 2005 | 473 | |
| 4 | 2010 | 82 | |
| 5 | 2015 | 60 | |
| 6 | 2009 | 57 | |
| 7 | 2009 | 56 | |
| 8 | 2011 | 55 | |
| 9 | 2005 | 6 |
About Elaine Boyd
Elaine Boyd is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Literature and Literary Theory, having authored 9 papers that have together received 4.2k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Eosinophilic Disorders and Syndromes (4 papers), Kruppel-like factors research (3 papers), Discourse Analysis in Language Studies (1 paper), T-cell and B-cell Immunology (1 paper), Language, Discourse, Communication Strategies (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Genetics (3.7k citations), Hematology (2.4k citations), Rheumatology (1.6k citations), Molecular Biology (2.3k citations) and Oncology (618 citations). Elaine Boyd has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Anthony J. Bench, Linda M. Scott, Clare East, George S. Vassiliou, Peter J. Campbell, S Swanton, E. Joanna Baxter, Nasios Fourouclas, Natasha Joan Curtin and Mike Scott. Their work appears in journals such as British Journal of Haematology, The Lancet, Blood and Applied Linguistics.
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.