Suzanne Smit

2.1k citations
9 papers · 1.6k · 1 hit paper · h-index 9

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Gene expression and cancer classification 3
    • Glycosylation and Glycoproteins Research 1
    • Advanced Proteomics Techniques and Applications 4

Suzanne Smit

9 papers receiving 1.6k citations

Suzanne Smit's Hit Papers

Assessment of PLSDA cross validation 2008 · 1.1k citations
1.1k0+6+12Years since publication2505007501000

Peers

Suzanne Smit
Comparison fields: 5 of 144
  • Analytical Chemistry 282
  • Biophysics 110
  • Molecular Biology 931
  • Spectroscopy 206
  • Biochemistry 39
Replace Daniël J. Vis with:
Daniël J. Vis Netherlands
Max Bylesjö Sweden
Katherine A. Hollywood United Kingdom
Ferdi A. van Dorsten Netherlands
Jasper Engel Netherlands
Bradley Worley United States
Ivan Montoliu Switzerland
Susanne Wiklund Sweden
Helen E. Johnson United Kingdom
Eva Borràs Spain
Suzanne Smit relative to Daniël J. Vis Netherlands Daniël J. Vis's profile →
Citations per field
00.5×1.5×
Daniël J. Vis · 1×
Citations per year

Countries citing papers authored by Suzanne Smit

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Smit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Assessment of PLSDA cross validation
Hit paper breakdown →
20081148
2 2007148
3 2008135
4 200859
5 200758
6 200746
7 200923
8 200817
9 201415

About Suzanne Smit

Suzanne Smit is a scholar working on Molecular Biology, Spectroscopy, Pathology and Forensic Medicine, General Health Professions and Computational Theory and Mathematics, having authored 9 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Gene expression and cancer classification (3 papers), Glycosylation and Glycoproteins Research (1 paper), Biosensors and Analytical Detection (1 paper), Nutrition, Genetics, and Disease (1 paper), Computational Drug Discovery Methods (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Analytical Chemistry (282 citations), Biophysics (110 citations), Molecular Biology (931 citations), Spectroscopy (206 citations) and Biochemistry (39 citations). Suzanne Smit has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Age K. Smilde, Huub C. J. Hoefsloot, John van Duynhoven, Ewoud J. J. van Velzen, Johan A. Westerhuis, Ferdi A. van Dorsten, Daniël J. Vis, Chris G. de Koster, Johannes M. F. G. Aerts and Mariëlle J. van Breemen. Their work appears in journals such as Analytica Chimica Acta, Metabolomics, Acta Paediatrica, Journal of Chromatography B and PROTEOMICS.

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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