G. May

436 citations
8 papers · 360 · h-index 7

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Mesenchymal stem cell research

Papers in

    • RNA Interference and Gene Delivery 2
    • Glycosylation and Glycoproteins Research 2
    • Advanced biosensing and bioanalysis techniques 1
    • interferon and immune responses 1
    • Phagocytosis and Immune Regulation 1

G. May

8 papers receiving 350 citations

Peers

G. May
Comparison fields: 5 of 57
  • Hematology 124
  • Genetics 69
  • Immunology and Allergy 32
  • Immunology 96
  • Cell Biology 53
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MC Yoder United States
P Sansilvestri France
Sheryl M. Gough United States
Robin Freeburn United Kingdom
Salima Janmohamed Canada
Azusa Matsubara Japan
Stephen J. Loughran Australia
Norimasa Yamasaki Japan
Elyssa Rubin United States
Marinka Bulic United States
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Citations per field
00.5×12×
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Citations per year

Countries citing papers authored by G. May

Since Specialization
Citations

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

Fields of papers citing papers by G. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1995140
2 199971
3 199158
4 199545
5 201819
6
THE STEM CELL ANTIGEN CD 34 FUNCTIONS AS A REGULATOR OF HEMATOPOIETIC CELL ADHESION
199516
7 202010
8 20211

About G. May

G. May is a scholar working on Molecular Biology, Immunology, Hematology, Immunology and Allergy and Surgery, having authored 8 papers that have together received 360 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Cell Adhesion Molecules Research (2 papers), RNA Interference and Gene Delivery (2 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Pancreatic function and diabetes (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Hematology (124 citations), Genetics (69 citations), Immunology and Allergy (32 citations), Immunology (96 citations) and Cell Biology (53 citations). G. May has collaborated with scholars based in United Kingdom, Japan and Netherlands. Frequent co-authors include Tariq Enver, Karin B. Gale, Lyn Healy, Frank Grosveld, Melvyn F. Greaves, Hannah J. Gould, Christopher L. Sutton, C M Heyworth, M. Dexter and Mel Greaves. Their work appears in journals such as Scientific Reports, Genes & Development, The EMBO Journal, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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