JM Heward

668 total citations
13 papers, 532 citations indexed

About

JM Heward is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, JM Heward has authored 13 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 5 papers in Immunology. Recurrent topics in JM Heward's work include Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Acute Lymphoblastic Leukemia research (3 papers). JM Heward is often cited by papers focused on Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers) and Acute Lymphoblastic Leukemia research (3 papers). JM Heward collaborates with scholars based in United Kingdom and Netherlands. JM Heward's co-authors include Martin J.S. Dyer, J. Paul Luzio, Kenneth Siddle, Maria A. Soos, E. S. Lennox, Michael D. Baron, Jaime Bellatin, D Jadayel, Daniel Catovsky and E Nacheva and has published in prestigious journals such as Blood, Biochemical Journal and Annals of the Rheumatic Diseases.

In The Last Decade

JM Heward

13 papers receiving 523 citations

Peers

JM Heward

MB

GENET

PFM

IMMUN

ONCOL

Toshiko Yamochi Japan

Shobha Castelino‐Prabhu United States

M Fukumoto Japan

Johanna Melo‐Cardenas United States

Valentina Pettirossi Italy

BD Young United Kingdom

Katerina Dyomina United States

Scott A. Ezell United States

Marianne Naspetti France

Mahmoud Mansouri Sweden

Toshiko Yamochi Japan

JM Heward

161 ×0.6

MB

75 ×0.5

GENET

137 ×0.9

PFM

139 ×1.0

IMMUN

204 ×2.2

ONCOL

Citations per year, relative to JM Heward JM Heward (= 1×) peers Toshiko Yamochi

Countries citing papers authored by JM Heward

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of JM Heward

This figure shows the co-authorship network connecting the top 25 collaborators of JM Heward. A scholar is included among the top collaborators of JM Heward based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with JM Heward. JM Heward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Heward, JM, et al.. (2006). Association of the FCRL3 gene with Graves disease in the UK Caucasian population. 1 indexed citations

2.

Heward, JM, Caroline Gordon, Amit Allahabadia, et al.. (1999). The A-G polymorphism in exon 1 of theCTLA-4 gene is not associated with systemic lupus erythematosus. Annals of the Rheumatic Diseases. 58(3). 193–195. 43 indexed citations

3.

Asou, Norio, D Jadayel, JM Heward, et al.. (1996). Molecular cloning of complex chromosomal translocation t(8;14;12)(q24.1;q32.3;q24.1) in a Burkitt lymphoma cell line defines a new gene (BCL7A) with homology to caldesmon. Blood. 87(8). 3124–3134. 86 indexed citations

4.

Dyer, Martin J.S., Debra M. Lillington, Christian Bastard, et al.. (1996). 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.. PubMed. 10(7). 1198–208. 33 indexed citations

5.

Nacheva, E, Martin J.S. Dyer, D Jadayel, et al.. (1994). B-cell non-Hodgkin's lymphoma cell line (Karpas 1106) with complex translocation involving 18q21.3 but lacking BCL2 rearrangement and expression. Blood. 84(10). 3422–3428. 4 indexed citations

6.

Nacheva, Elisabeth P., Martin J.S. Dyer, D Jadayel, et al.. (1994). B-cell non-Hodgkin's lymphoma cell line (Karpas 1106) with complex translocation involving 18q21.3 but lacking BCL2 rearrangement and expression. Blood. 84(10). 3422–3428. 31 indexed citations

7.

Dyer, Martin J.S., Robert M. Chapman, JM Heward, et al.. (1994). BCL2 translocations in leukemias of mature B cells. Blood. 83(12). 3682–3688. 3 indexed citations

8.

Dyer, Martin J.S., Robert M. Chapman, JM Heward, et al.. (1994). BCL2 translocations in leukemias of mature B cells. Blood. 83(12). 3682–3688. 79 indexed citations

9.

Dyer, Martin J.S., et al.. (1993). Unusual deletions within the immunoglobulin heavy-chain locus in acute leukemias. Blood. 82(3). 865–871. 1 indexed citations

10.

Dyer, Martin J.S., et al.. (1993). 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).. PubMed. 7(7). 1047–53. 14 indexed citations

11.

Dyer, Martin J.S., et al.. (1993). Unusual deletions within the immunoglobulin heavy-chain locus in acute leukemias. Blood. 82(3). 865–871. 22 indexed citations

12.

Nacheva, E, Martin J.S. Dyer, Peter Fischer, et al.. (1993). C-MYC translocations in de novo B-cell lineage acute leukemias with t(14;18)(cell lines Karpas 231 and 353). Blood. 82(1). 231–240. 30 indexed citations

13.

Soos, Maria A., Kenneth Siddle, Michael D. Baron, et al.. (1986). Monoclonal antibodies reacting with multiple epitopes on the human insulin receptor. Biochemical Journal. 235(1). 199–208. 185 indexed citations

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.

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