Raf Winand

831 citations
22 papers · 537 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • Identification and Quantification in Food 3
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 2
    • Bacteriophages and microbial interactions 4
    • Microbial Community Ecology and Physiology 2

Raf Winand

22 papers receiving 524 citations

Peers

Raf Winand
Comparison fields: 5 of 99
  • Molecular Medicine 50
  • Clinical Biochemistry 43
  • Endocrinology 30
  • Microbiology 28
  • Infectious Diseases 83
Replace C. L. Redden with:
C. L. Redden United States
Roger Meisal Norway
G R Wang United States
Ángela Peña United States
Khai Luong United States
Po‐E Li United States
Norman Mauder Germany
Kirstin J. Edwards United Kingdom
Maria Ohlén Sweden
An Van den Bossche Belgium
Raf Winand relative to C. L. Redden United States C. L. Redden's profile →
Citations per field
00.5×
C. L. Redden · 1×
Citations per year

Countries citing papers authored by Raf Winand

Since Specialization
Citations

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

Fields of papers citing papers by Raf Winand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019140
2 202059
3 201941
4 201535
5 202131
6 202131
7 201826
8 201925
9 202121
10 201519
11 201618
12 202018
13 202116
14 202015
15 201413
16 20219
17 20208
18 20214
19 20254
20 20172

About Raf Winand

Raf Winand is a scholar working on Molecular Biology, Ecology, Epidemiology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 537 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Bacteriophages and microbial interactions (4 papers), Prenatal Screening and Diagnostics (3 papers), Identification and Quantification in Food (3 papers), Epigenetics and DNA Methylation (2 papers), Escherichia coli research studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Medicine (50 citations), Clinical Biochemistry (43 citations), Endocrinology (30 citations), Microbiology (28 citations) and Infectious Diseases (83 citations). Raf Winand has collaborated with scholars based in Belgium, South Africa and United States. Frequent co-authors include Kevin Vanneste, Nancy H. C. Roosens, Sigrid C. J. De Keersmaecker, Bert Bogaerts, Julien Van Braekel, Qiang Fu, Stefan Hoffman, Kathleen Marchal, Assia Saltykova and Marie‐Alice Fraiture. Their work appears in journals such as Scientific Reports, Microbial Genomics, BMC Genomics, Clinical Epigenetics and Food Chemistry.

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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