Sandrine Hamels

1.1k total citations
16 papers, 812 citations indexed

About

Sandrine Hamels is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Sandrine Hamels has authored 16 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Epidemiology. Recurrent topics in Sandrine Hamels's work include Genetically Modified Organisms Research (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Gene expression and cancer classification (4 papers). Sandrine Hamels is often cited by papers focused on Genetically Modified Organisms Research (5 papers), Advanced Biosensing Techniques and Applications (4 papers) and Gene expression and cancer classification (4 papers). Sandrine Hamels collaborates with scholars based in Belgium, Italy and Norway. Sandrine Hamels's co-authors include Nathalie Zammatteo, José Remacle, Stéphane Courtois, Pierre Louette, Jean‐Luc Gala, Isabelle Alexandre, Dany Morisset, Florence De Longueville, Yves Bertheau and María Pla and has published in prestigious journals such as Nucleic Acids Research, Analytical Biochemistry and Clinical Chemistry.

In The Last Decade

Sandrine Hamels

16 papers receiving 759 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sandrine Hamels Belgium 12 625 274 223 70 69 16 812
Eugene J. H. Wee Australia 22 961 1.5× 735 2.7× 150 0.7× 48 0.7× 41 0.6× 29 1.4k
Miriam M. Ngundi United States 14 402 0.6× 228 0.8× 152 0.7× 95 1.4× 37 0.5× 23 698
Nathalie Zammatteo Belgium 12 487 0.8× 267 1.0× 39 0.2× 83 1.2× 33 0.5× 17 682
Shanavaz Nasarabadi United States 7 256 0.4× 417 1.5× 29 0.1× 92 1.3× 55 0.8× 14 664
Nadine Borst Germany 15 502 0.8× 383 1.4× 173 0.8× 64 0.9× 15 0.2× 28 792
Tieshan Jiang United States 12 447 0.7× 251 0.9× 28 0.1× 30 0.4× 48 0.7× 17 701
Han Yih Lau Malaysia 9 256 0.4× 255 0.9× 213 1.0× 25 0.4× 13 0.2× 17 528
Verónica C. Martins Portugal 12 260 0.4× 261 1.0× 99 0.4× 154 2.2× 14 0.2× 22 616
Carolyn E. Meador United States 9 256 0.4× 117 0.4× 43 0.2× 42 0.6× 63 0.9× 9 570
Gi Won Shin South Korea 16 253 0.4× 179 0.7× 23 0.1× 61 0.9× 48 0.7× 45 519

Countries citing papers authored by Sandrine Hamels

Since Specialization
Citations

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

Fields of papers citing papers by Sandrine Hamels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandrine Hamels

This figure shows the co-authorship network connecting the top 25 collaborators of Sandrine Hamels. A scholar is included among the top collaborators of Sandrine Hamels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandrine Hamels. Sandrine Hamels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Roisin, Sandrine, T.-D. Huang, Ricardo De Mendonça, et al.. (2017). Prospective evaluation of a high multiplexing real-time polymerase chain reaction array for the rapid identification and characterization of bacteria causative of nosocomial pneumonia from clinical specimens: a proof-of-concept study. European Journal of Clinical Microbiology & Infectious Diseases. 37(1). 109–116. 8 indexed citations
2.
Bogaerts, Pierre, Sandrine Hamels, Ricardo De Mendonça, et al.. (2012). Analytical validation of a novel high multiplexing real-time PCR array for the identification of key pathogens causative of bacterial ventilator-associated pneumonia and their associated resistance genes. Journal of Antimicrobial Chemotherapy. 68(2). 340–347. 27 indexed citations
3.
Holst‐Jensen, Arne, Yves Bertheau, Marc De Loose, et al.. (2012). Detecting un-authorized genetically modified organisms (GMOs) and derived materials. Biotechnology Advances. 30(6). 1318–1335. 121 indexed citations
4.
Bellocchi, Gianni, Vincent Bertholet, Sandrine Hamels, et al.. (2009). Fuzzy-logic based strategy for validation of multiplex methods: example with qualitative GMO assays. Transgenic Research. 19(1). 57–65. 4 indexed citations
5.
Morisset, Dany, David Dobnik, Sandrine Hamels, Jana Žel, & Kristina Gruden. (2008). NAIMA: target amplification strategy allowing quantitative on-chip detection of GMOs. Nucleic Acids Research. 36(18). e118–e118. 55 indexed citations
6.
Hamels, Sandrine, Marco Mazzara, Frédéric Debode, et al.. (2008). A PCR-microarray method for the screening of genetically modified organisms. European Food Research and Technology. 228(4). 531–541. 42 indexed citations
7.
Burteau, Sophie, Pierre Bogaerts, Léonid M. Irenge, et al.. (2007). Design and validation of a low density array (Nosochip) for the detection and identification of the main pathogenic bacteria and fungi responsible for nosocomial pneumonia. European Journal of Clinical Microbiology & Infectious Diseases. 27(1). 17–27. 6 indexed citations
8.
Hamels, Sandrine, et al.. (2007). Microarray Method for the Screening of EU Approved GMOs by Identification of their Genetic Elements. Joint Research Centre (European Commission). 4 indexed citations
9.
Kristensen, Ralf, et al.. (2006). DNA microarray to detect and identify trichothecene- and moniliformin-producing Fusarium species. Journal of Applied Microbiology. 0(0). 2670577967–???. 20 indexed citations
10.
Zammatteo, Nathalie, Sandrine Hamels, Françoise de Longueville, et al.. (2002). New chips for molecular biology and diagnostics. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 85–101. 19 indexed citations
11.
Zammatteo, Nathalie, Francis Brasseur, Etienne De Plaen, et al.. (2002). DNA Microarray to Monitor the Expression of MAGE-A Genes. Clinical Chemistry. 48(1). 25–34. 28 indexed citations
12.
Alexandre, Isabelle, et al.. (2002). Compact Disc with Both Numeric and Genomic Information as DNA Microarray Platform. BioTechniques. 33(2). 435–439. 31 indexed citations
13.
Alexandre, Isabelle, et al.. (2001). Colorimetric Silver Detection of DNA Microarrays. Analytical Biochemistry. 295(1). 1–8. 132 indexed citations
14.
Hamels, Sandrine, et al.. (2001). Consensus PCR and Microarray for Diagnosis of the Genus Staphylococcus , Species, and Methicillin Resistance. BioTechniques. 31(6). 1364–1372. 58 indexed citations
15.
Zammatteo, Nathalie, et al.. (2000). Comparison between Different Strategies of Covalent Attachment of DNA to Glass Surfaces to Build DNA Microarrays. Analytical Biochemistry. 280(1). 143–150. 244 indexed citations
16.
Alexandre, Isabelle, Nathalie Zammatteo, Isabelle Ernest, et al.. (1998). Quantitative Determination of CMV DNA Using a Combination of Competitive PCR Amplification and Sandwich Hybridization. BioTechniques. 25(4). 676–683. 13 indexed citations

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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