F I Smith

700 citations
13 papers · 631 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4

F I Smith

13 papers receiving 595 citations

Peers

F I Smith
Comparison fields: 5 of 57
  • Physiology 338
  • Cell Biology 201
  • Virology 32
  • Immunology 124
  • Organic Chemistry 154
Replace Agnès Saint‐Pol with:
Agnès Saint‐Pol France
Eva Loh Singapore
Horst Blasey Switzerland
Jaana Suopanki Finland
Taku Tamura Japan
Suisheng Zhang Germany
Melanie Grove Germany
Phillip A. Doerfler United States
A Loewy United States
Gary Thomas United States
F I Smith relative to Agnès Saint‐Pol France Agnès Saint‐Pol's profile →
Citations per field
00.5×1.5×1.9×
Agnès Saint‐Pol · 1×
Citations per year

Countries citing papers authored by F I Smith

Since Specialization
Citations

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

Fields of papers citing papers by F I Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F I Smith. 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 F I Smith. The network helps show where F I Smith may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
Gaucher disease: molecular heterogeneity and phenotype-genotype correlations.
1989118
2
Complex alleles of the acid beta-glucosidase gene in Gaucher disease.
1990100
3 199184
4 198878
5 199073
6
Molecular diagnostics for myelin proteolipid protein gene mutations in Pelizaeus-Merzbacher disease.
199241
7 197932
8 197930
9 198027
10 198521
11 198120
12 19794
13 19773

About F I Smith

F I Smith is a scholar working on Molecular Biology, Immunology, Physiology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 631 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Lysosomal Storage Disorders Research (4 papers), Immune Cell Function and Interaction (4 papers), Transgenic Plants and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Physiology (338 citations), Cell Biology (201 citations), Virology (32 citations), Immunology (124 citations) and Organic Chemistry (154 citations). F I Smith has collaborated with scholars based in United States, Australia and Hungary. Frequent co-authors include Gregory A. Grabowski, Theresa Latham, Bimal D. M. Theophilus, J. F. A. P. Miller, Peter Palese, Jason Leider, Marie Grace, Peter N. Graves, Raphael Schiffmann and Marvin R. Natowicz. Their work appears in journals such as The Journal of Experimental Medicine, Scandinavian Journal of Immunology, Vox Sanguinis, DNA and Cell Biology and Journal of Virology.

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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