Simon McBride

805 citations
9 papers · 635 · h-index 5

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
  • Hematology top 10%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments

Papers in

    • Blood groups and transfusion 3
    • Platelet Disorders and Treatments 3
    • Genetic Associations and Epidemiology 2
    • Blood disorders and treatments 1

Simon McBride

7 papers receiving 618 citations

Peers

Simon McBride
Comparison fields: 5 of 73
  • Genetics 230
  • Hematology 91
  • Pathology and Forensic Medicine 106
  • Oncology 148
  • Molecular Biology 310
Replace Keisuke Kodama with:
Keisuke Kodama Japan
MF Fey Switzerland
Emebet Mengesha United States
Dariusz Jaskulski United States
Peter C. Verlander United States
K. Henningsen Denmark
Lucia Giordani Italy
Christine R. Bryke United States
Christopher J. Howlett Canada
Chen Shochat Israel
Simon McBride relative to Keisuke Kodama Japan Keisuke Kodama's profile →
Citations per field
00.5×
Keisuke Kodama · 1×
Citations per year

Countries citing papers authored by Simon McBride

Since Specialization
Citations

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

Fields of papers citing papers by Simon McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
A transforming growth factorbeta1 signal peptide variant increases secretion in vitro and is associated with increased incidence of invasive breast cancer.
2003304
2 2000143
3 199999
4 200556
5 200928
6 20173
7 20092
8 20170
9 20170

About Simon McBride

Simon McBride is a scholar working on Hematology, Genetics, Molecular Biology, Plant Science and Pathology and Forensic Medicine, having authored 9 papers that have together received 635 indexed citations. Recurring topics across this work include Blood groups and transfusion (3 papers), Platelet Disorders and Treatments (3 papers), Genetic Associations and Epidemiology (2 papers), Horticultural and Viticultural Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Mycorrhizal Fungi and Plant Interactions (1 paper), TGF-β signaling in diseases (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Genetics (230 citations), Hematology (91 citations), Pathology and Forensic Medicine (106 citations), Oncology (148 citations) and Molecular Biology (310 citations). Simon McBride has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Catherine S. Healey, Alison M. Dunning, Robert Luben, Vesa Kataja, Paul D.P. Pharoah, Douglas F. Easton, Bruce A.J. Ponder, Peter Ellis, Paul R. Kemp and James C. Metcalfe. Their work appears in journals such as Transfusion, Plant Disease, The American Journal of Human Genetics, Carcinogenesis and Papillomavirus Research.

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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