Simon McBride

805 citations
9 papers · 660 · h-index 5

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 McBride

8 papers receiving 639 citations

Peers

Simon McBride
Comparison fields: 5 of 67
  • Hematology 94
  • Genetics 203
  • Pathology and Forensic Medicine 102
  • Oncology 117
  • Molecular Biology 281
Replace Phillip Koeffler with:
Phillip Koeffler United States
Keisuke Kodama Japan
Ritsuko Seki Japan
K. Henningsen Denmark
C Kittas Greece
Jonas Carlsson Almlöf Sweden
Ugo Rovigatti United States
M Mascarenhas United Kingdom
Nathan A. Lemp United States
E D'Andrea Italy
Simon McBride relative to Phillip Koeffler United States Phillip Koeffler's profile →
Citations per field
00.5×2.7×
Phillip Koeffler · 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.
2003309
2 2000149
3 1999105
4 200559
5 200932
6 20173
7 20092
8 20171
9 20170

About Simon McBride

Simon McBride is a scholar working on Hematology, Molecular Biology, Genetics, Plant Science and Pathology and Forensic Medicine, having authored 9 papers that have together received 660 indexed citations. Recurring topics across this work include Blood groups and transfusion (2 papers), Platelet Disorders and Treatments (2 papers), Genomics and Rare Diseases (1 paper), Plant and Fungal Interactions Research (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Male Breast Health Studies (1 paper), Genetic Neurodegenerative Diseases (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Hematology (94 citations), Genetics (203 citations), Pathology and Forensic Medicine (102 citations), Oncology (117 citations) and Molecular Biology (281 citations). Simon McBride has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Catherine S. Healey, Alison M. Dunning, Robert Luben, Vesa Kataja, Bruce A.J. Ponder, Peter Ellis, Paul D.P. Pharoah, Paul R. Kemp, Jenny Chang‐Claude and Douglas F. Easton. Their work appears in journals such as Transfusion, Plant Disease, Papillomavirus Research, The American Journal of Human Genetics and Carcinogenesis.

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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