D. J. Moir

11 papers receiving 1.1k citations

D. J. Moir's Hit Papers

Dose intensification with autologous bone-marrow transplantation in relapsed and resistant Hodgkin's disease: results of a BNLI randomised trial 1993 · 818 citations
8180+11+22Years since publication250500750

Peers

D. J. Moir
Comparison fields: 5 of 60
  • Pathology and Forensic Medicine 782
  • Genetics 243
  • Hematology 239
  • Neurology 262
  • Oncology 453
Replace DC Linch with:
DC Linch United Kingdom
J. M. Vose United States
T. Lister United Kingdom
PJ Bierman United States
Gabriella Pichert Switzerland
Jean-Philippe Laporte France
FB Hagemeister United States
C Bayle France
Teodoro Chisesi Italy
O Gentilhomme France
D. J. Moir relative to DC Linch United Kingdom DC Linch's profile →
Citations per field
00.5×1.5×1.9×
DC Linch · 1×
Citations per year

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-authors

The 25 scholars most cited alongside D. J. Moir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. J. Moir Line = papers co-authored together D. J. Moir links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Dose intensification with autologous bone-marrow transplantation in relapsed and resistant Hodgkin's disease: results of a BNLI randomised trial
Hit paper breakdown →
1993818
2 1983102
3 199256
4 198455
5 199635
6 200927
7 198626
8 198417
9 197616
10 201012
11 19853

About D. J. Moir

D. J. Moir is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Surgery and Oncology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Viral-associated cancers and disorders (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (782 citations), Genetics (243 citations), Hematology (239 citations), Neurology (262 citations) and Oncology (453 citations). D. J. Moir has collaborated with scholars based in United Kingdom, United States and Malta. Frequent co-authors include A. H. Goldstone, Annabel McMillan, Rajesh Chopra, David C. Linch, D.A. Winfield, Barry W. Hancock, D Milligan, G. Vaughan Hudson, David Y. Mason and A K Ghosh. Their work appears in journals such as British Journal of Haematology, The Lancet, Haematologica, Digestive Diseases and Sciences and International Anesthesiology Clinics.

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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