M. G. Macey

2.3k citations
60 papers · 1.6k indexed · h-index 23

Impact in

Papers in

M. G. Macey

59 papers receiving 1.5k citations

Peers

M. G. Macey
Comparison fields: 5 of 98
  • Hematology 576
  • Immunology and Allergy 181
  • Immunology 599
  • Internal Medicine 69
  • Genetics 157
Replace DF Bainton with:
DF Bainton United States
Roger Lijnen Belgium
Hilde Kelchtermans Netherlands
Jean‐Marc Massé France
Lorenzo Emmi Italy
Kousuke Marutsuka Japan
Soledad Negrotto Argentina
G Potron France
Rob Fijnheer Netherlands
Daphne Schatzberg United States
M. G. Macey relative to DF Bainton United States DF Bainton's profile →
Citations per field
00.5×1.5×
DF Bainton · 1×
Citations per year

Countries citing papers authored by M. G. Macey

Since Specialization
Citations

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

Fields of papers citing papers by M. G. Macey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. G. Macey. 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 M. G. Macey. The network helps show where M. G. Macey may publish in the future.

Co-authors

The 25 scholars most cited alongside M. G. Macey, 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 M. G. Macey Line = papers co-authored together M. G. Macey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201521
2 200973
3
Changes in neutrophil phenotype following the administration of CC-4047 (Actimid) to patients with multiple myeloma.
20031
4 199969
5 199927
6 199973
7 1998111
8 199839
9 199812
10 199849
11 199717
12 199732
13 199716
14 199613
15 199593
16 199428
17 19936
18 19936
19
Allogeneic bone marrow transplantation for adult leukaemia with soy bean lectin fractionated marrow.
19868
20 19865

About M. G. Macey

M. G. Macey is a scholar working on Immunology and Allergy, Hematology, Immunology, Genetics and Internal Medicine, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (17 papers), Cell Adhesion Molecules Research (16 papers), Immune Response and Inflammation (11 papers), Blood disorders and treatments (9 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (576 citations), Immunology and Allergy (181 citations), Immunology (599 citations), Internal Medicine (69 citations) and Genetics (157 citations). M. G. Macey has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Adrian C. Newland, D. McCarthy, D. A. McCarthy, P. A. Veys, K A Brown, A. C. Newland, Gareth L. Howells, S. Kapas, Patrick Harriott and Martin H. Thornhill. Their work appears in journals such as Cytometry, British Journal of Haematology, Journal of Immunological Methods, Clinical & Experimental Immunology and Annals of Hematology.

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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