JM Heward
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Diabetes and associated disorders 2
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- Lymphoma Diagnosis and Treatment 6
- Co-authors
- Martin J.S. Dyer (10 shared papers)J. Paul Luzio (1 shared paper)Michael D. Baron (1 shared paper)Maria A. Soos (1 shared paper)Jaime Bellatin (1 shared paper)Kenneth Siddle (1 shared paper)E. S. Lennox (1 shared paper)D Jadayel (5 shared papers)
- Journals
- Blood (8 papers)Biochemical Journal (1 paper)Annals of the Rheumatic Diseases (1 paper)PubMed (2 papers)
- Partner nations
- United KingdomNetherlands
In The Last Decade
JM Heward
13 papers receiving 525 citations
Peers
Comparison fields: 5 of 57
- Genetics 153
- Pathology and Forensic Medicine 146
- Immunology 118
- Hematology 44
- Molecular Biology 248
Countries citing papers authored by JM Heward
This map shows the geographic impact of JM Heward'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 JM Heward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JM Heward more than expected).
Fields of papers citing papers by JM Heward
This network shows the impact of papers produced by JM Heward. 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 JM Heward. The network helps show where JM Heward may publish in the future.
Co-authors
The 25 scholars most cited alongside JM Heward, 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 | 1986 | 185 | |
| 2 | 1996 | 86 | |
| 3 | 1994 | 79 | |
| 4 | 1999 | 43 | |
| 5 | Concurrent activation of MYC and BCL2 in B cell non-Hodgkin lymphoma cell lines by translocation of both oncogenes to the same immunoglobulin heavy chain locus. | 1996 | 33 |
| 6 | 1994 | 32 | |
| 7 | 1993 | 30 | |
| 8 | 1993 | 22 | |
| 9 | A new human T-cell lymphoma cell line (Karpas 384) of the T-cell receptor gamma/delta lineage with translocation t(7:14) (p13;q11.2). | 1993 | 14 |
| 10 | 1994 | 4 | |
| 11 | 1994 | 3 | |
| 12 | Association of the FCRL3 gene with Graves disease in the UK Caucasian population | 2006 | 1 |
| 13 | 1993 | 1 |
About JM Heward
JM Heward is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 533 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Acute Lymphoblastic Leukemia research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Diabetes and associated disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Acute Myeloid Leukemia Research (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (153 citations), Pathology and Forensic Medicine (146 citations), Immunology (118 citations), Hematology (44 citations) and Molecular Biology (248 citations). JM Heward has collaborated with scholars based in United Kingdom and Netherlands. Frequent co-authors include Martin J.S. Dyer, J. Paul Luzio, Michael D. Baron, Maria A. Soos, Jaime Bellatin, Kenneth Siddle, E. S. Lennox, D Jadayel, Daniel Catovsky and E Nacheva. Their work appears in journals such as Blood, Biochemical Journal, Annals of the Rheumatic Diseases and PubMed.
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.