Simon E. McBride

808 citations
10 papers · 682 · h-index 6

Impact in

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

Papers in

Simon E. McBride

10 papers receiving 659 citations

Peers

Simon E. McBride
Comparison fields: 5 of 68
  • Hematology 98
  • Genetics 203
  • Pathology and Forensic Medicine 104
  • Oncology 118
  • Molecular Biology 288
Replace Keisuke Kodama with:
Keisuke Kodama Japan
Kristoffer M. A. Henningsen Denmark
Ch. Kittas Greece
MF Fey Switzerland
Kathryn E. Scott United States
Matthew Hall United Kingdom
V. Faà Italy
Thomas Kühr Austria
Nicola A. Foster United Kingdom
Cecilia E Kim United States
Simon E. McBride relative to Keisuke Kodama Japan Keisuke Kodama's profile →
Citations per field
00.5×2×4×5.3×
Keisuke Kodama · 1×
Citations per year

Countries citing papers authored by Simon E. McBride

Since Specialization
Citations

This map shows the geographic impact of Simon E. 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 E. 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 E. McBride more than expected).

Fields of papers citing papers by Simon E. McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 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.
2003316
2 2000149
3 1999106
4 200563
5 200931
6 19959
7 20174
8 20092
9 20171
10 20171

About Simon E. McBride

Simon E. McBride is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism, Endocrinology, Genetics and Plant Science, having authored 10 papers that have together received 682 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Platelet Disorders and Treatments (2 papers), Plant and Fungal Interactions Research (1 paper), Renin-Angiotensin System Studies (1 paper), Male Breast Health Studies (1 paper), Mycorrhizal Fungi and Plant Interactions (1 paper), TGF-β signaling in diseases (1 paper) and Yeasts and Rust Fungi Studies (1 paper). The work is most often cited by research in Hematology (98 citations), Genetics (203 citations), Pathology and Forensic Medicine (104 citations), Oncology (118 citations) and Molecular Biology (288 citations). Simon E. McBride has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alison Margaret Dunning, Catherine S. Healey, Robert Luben, Vesa V Kataja, Douglas F. Easton, James C. Metcalfe, Peter Ellis, Jenny C. Chang-Claude, Paul Robert Kemp and Paul D.P. Pharoah. Their work appears in journals such as Plant Disease, Transfusion, The American Journal of Human Genetics, Carcinogenesis and Atherosclerosis.

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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