Pierre Smets

624 citations
46 papers · 556 · h-index 13

Impact in

Papers in

    • Immune Response and Inflammation 12
    • Immune Cell Function and Interaction 4
    • Antibiotic Resistance in Bacteria 6

Pierre Smets

45 papers receiving 485 citations

Peers

Pierre Smets
Comparison fields: 5 of 87
  • Molecular Medicine 81
  • Endocrinology 72
  • Virology 44
  • Immunology 138
  • Microbiology 41
Replace Hedvika Lazar with:
Hedvika Lazar Switzerland
Pamela H. Braham United States
Sebastián Riquelme-Barrios Chile
Gregory A. Wasserman United States
Richard J. Karalus United States
Francine Parant France
Jason Trama United States
Chee K. Tan Australia
Yutaka Zinnaka Japan
Jessica C. Bonnell United States
Pierre Smets relative to Hedvika Lazar Switzerland Hedvika Lazar's profile →
Citations per field
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Hedvika Lazar · 1×
Citations per year

Countries citing papers authored by Pierre Smets

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Smets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997117
2 199247
3 199140
4 198927
5 199125
6 199024
7 198521
8 198820
9
Y-chromosome-specific haplotype diversity in Ashkenazic and Sephardic Jews.
199320
10
Origins of Falasha Jews studied by haplotypes of the Y chromosome.
199919
11 198418
12 198715
13 199215
14 198613
15 198711
16 19879
17 19879
18 19878
19 19778
20 20038

About Pierre Smets

Pierre Smets is a scholar working on Immunology, Molecular Medicine, Endocrinology, Epidemiology and Biotechnology, having authored 46 papers that have together received 556 indexed citations. Recurring topics across this work include Immune Response and Inflammation (12 papers), Glycosylation and Glycoproteins Research (6 papers), Antibiotic Resistance in Bacteria (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Escherichia coli research studies (5 papers), Immune Cell Function and Interaction (4 papers), Transgenic Plants and Applications (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Molecular Medicine (81 citations), Endocrinology (72 citations), Virology (44 citations), Immunology (138 citations) and Microbiology (41 citations). Pierre Smets has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Gérard Lucotte, Moncef Guenounou, Bernard Fournet, Ossarath Kol, Eliane Mandine, Gérard Strecker, Jean Montreuil, Chantal Maurice, Fatoumata Sylla‐Koko and Auguste Kadio. Their work appears in journals such as International Journal of Pharmaceutics, The Journal of Infectious Diseases, Journal of Chromatography A, Carbohydrate Research and AIDS.

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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