Marion Drew

535 citations
10 papers · 436 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

Marion Drew

10 papers receiving 428 citations

Peers

Marion Drew
Comparison fields: 5 of 49
  • Immunology 266
  • Hematology 105
  • Immunology and Allergy 31
  • Oncology 79
  • Genetics 25
Replace V. Guigou with:
V. Guigou France
Patrick Medd United Kingdom
Keping Ni Australia
M M Hallet France
J Faust United States
Michele Shannon United States
LS Park Australia
Jean Ulrick United States
RJ Levinsky United Kingdom
Hitoshi Hanamoto Japan
Marion Drew relative to V. Guigou France V. Guigou's profile →
Citations per field
00.5×11×
V. Guigou · 1×
Citations per year

Countries citing papers authored by Marion Drew

Since Specialization
Citations

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

Fields of papers citing papers by Marion Drew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion Drew. 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 Marion Drew. The network helps show where Marion Drew may publish in the future.

Co-authors

The 20 scholars most cited alongside Marion Drew, 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 Marion Drew Line = papers co-authored together Marion Drew links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2000239
2 199264
3 199641
4
Normal and neoplastic human plasma cells express bcl-2 antigen.
199140
5 199220
6 199614
7 19938
8 20186
9
Modulation of drug pharmacokinetics and pharmacodynamics by fluorine substitution.
20092
10 20152

About Marion Drew

Marion Drew is a scholar working on Hematology, Immunology and Allergy, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 10 papers that have together received 436 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Cell Adhesion Molecules Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Muscle metabolism and nutrition (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Immunology (266 citations), Hematology (105 citations), Immunology and Allergy (31 citations), Oncology (79 citations) and Genetics (25 citations). Marion Drew has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Jennifer Ball, Ian C. M. MacLennan, Matthias Wabl, Marília Cascalho, G. G. B. Klaus, Carola G. Vinuesa, Matthew Cook, Malcolm Hamilton, Helen F. Barker and Jean Feuillard. Their work appears in journals such as International Immunology, British Journal of Haematology, Applied Physiology Nutrition and Metabolism, The Journal of Experimental Medicine and Blood Reviews.

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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