D. J. Moir

1.4k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

D. J. Moir is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, D. J. Moir has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Pathology and Forensic Medicine and 3 papers in Hematology. Recurrent topics in D. J. Moir's work include Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (2 papers). D. J. Moir is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (2 papers). D. J. Moir collaborates with scholars based in United Kingdom, Malta and United States. D. J. Moir's co-authors include Annabel McMillan, David C. Linch, A. H. Goldstone, Rajesh Chopra, D.A. Winfield, Barry W. Hancock, D Milligan, G. Vaughan Hudson, David Y. Mason and Z. Abdulaziz and has published in prestigious journals such as The Lancet, British Journal of Haematology and Digestive Diseases and Sciences.

In The Last Decade

D. J. Moir

11 papers receiving 1.1k citations

Hit Papers

Dose intensification with autologous bone-marrow transpla... 1993 2026 2004 2015 1993 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. J. Moir United Kingdom 10 781 540 320 258 252 11 1.1k
T. Lister United Kingdom 6 821 1.1× 522 1.0× 174 0.5× 375 1.5× 237 0.9× 9 1.1k
FB Hagemeister United States 11 1.1k 1.3× 704 1.3× 324 1.0× 391 1.5× 122 0.5× 18 1.3k
DC Linch United Kingdom 19 949 1.2× 720 1.3× 256 0.8× 397 1.5× 229 0.9× 37 1.5k
J. M. Vose United States 15 801 1.0× 596 1.1× 198 0.6× 289 1.1× 243 1.0× 34 1.2k
C Gisselbrecht France 16 830 1.1× 692 1.3× 180 0.6× 279 1.1× 152 0.6× 45 1.1k
DD Weisenburger United States 10 708 0.9× 664 1.2× 176 0.6× 367 1.4× 561 2.2× 15 1.3k
Jean-Philippe Laporte France 12 492 0.6× 431 0.8× 155 0.5× 296 1.1× 486 1.9× 13 1.0k
Geraldine Pinkus United States 15 541 0.7× 390 0.7× 175 0.5× 279 1.1× 137 0.5× 25 1.1k
Teodoro Chisesi Italy 17 972 1.2× 580 1.1× 253 0.8× 552 2.1× 189 0.8× 89 1.4k
R. Zschaber Germany 9 691 0.9× 572 1.1× 323 1.0× 198 0.8× 160 0.6× 17 901

Countries citing papers authored by D. J. Moir

Since Specialization
Citations

This map shows the geographic impact of D. J. Moir'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 D. J. Moir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Moir more than expected).

Fields of papers citing papers by D. J. Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Moir. 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 D. J. Moir. The network helps show where D. J. Moir may publish in the future.

Co-authorship network of co-authors of D. J. Moir

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Moir. A scholar is included among the top collaborators of D. J. Moir 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 D. J. Moir. D. J. Moir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Ait‐Tahar, Kamel, Amanda P. Liggins, Graham P. Collins, et al.. (2010). CD4-positive T-helper cell responses to the PASD1 protein in patients with diffuse large B-cell lymphoma. Haematologica. 96(1). 78–86. 12 indexed citations
2.
Ait‐Tahar, Kamel, Amanda P. Liggins, Graham P. Collins, et al.. (2009). Cytolytic T‐cell response to the PASD1 cancer testis antigen in patients with diffuse large B‐cell lymphoma. British Journal of Haematology. 146(4). 396–407. 25 indexed citations
4.
Linch, David C., A. H. Goldstone, Annabel McMillan, et al.. (1993). Dose intensification with autologous bone-marrow transplantation in relapsed and resistant Hodgkin's disease: results of a BNLI randomised trial. The Lancet. 341(8852). 1051–1054. 768 indexed citations breakdown →
5.
Chopra, Rajesh, David C. Linch, Annabel McMillan, et al.. (1992). Mini‐BEAM followed by BEAM and ABMT for very poor risk Hodgkin's disease. British Journal of Haematology. 81(2). 197–202. 55 indexed citations
6.
Pippard, M. J., et al.. (1986). Mechanism of anaemia in resistant visceral leishmaniasis. Annals of Tropical Medicine and Parasitology. 80(3). 317–323. 24 indexed citations
7.
Moir, D. J.. (1985). Investigation of Bleeding Disorders. International Anesthesiology Clinics. 23(2). 37–48. 3 indexed citations
8.
Falini, Brunangelo, Maria Paola Martelli, D. J. Moir, et al.. (1984). Immunohistological analysis of human bone marrow trephine biopsies using monoclonal antibodies. British Journal of Haematology. 56(3). 365–386. 54 indexed citations
9.
Moir, D. J., et al.. (1984). Acute promyelocytic transformation in a case of acute myelomonocytic leukemia. Cancer Genetics and Cytogenetics. 12(4). 359–364. 17 indexed citations
10.
Moir, D. J., A K Ghosh, Z. Abdulaziz, Patricia M. Knight, & David Y. Mason. (1983). Immunoenzymatic staining of haematological samples with monoclonal antibodies. British Journal of Haematology. 55(3). 395–410. 97 indexed citations
11.
Goodman, Michael J., et al.. (1976). Pericarditis associated with ulcerative colitis and Crohn's disease. Digestive Diseases and Sciences. 21(2). 98–102. 15 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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