Van Den Eede Guy

566 total citations
42 papers, 413 citations indexed

About

Van Den Eede Guy is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Van Den Eede Guy has authored 42 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 21 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Van Den Eede Guy's work include Genetically Modified Organisms Research (18 papers), Molecular Biology Techniques and Applications (11 papers) and Identification and Quantification in Food (7 papers). Van Den Eede Guy is often cited by papers focused on Genetically Modified Organisms Research (18 papers), Molecular Biology Techniques and Applications (11 papers) and Identification and Quantification in Food (7 papers). Van Den Eede Guy collaborates with scholars based in . Van Den Eede Guy's co-authors include Mazzara Marco, Savini Cristian, Hermann Broll, Alessia Bogni, Mauro Petrillo, Jana Žel, Marco Mazzara, Barbara Raffael, Philippe Corbisier and William Moens and has published in prestigious journals such as Joint Research Centre (European Commission).

In The Last Decade

Van Den Eede Guy

40 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van Den Eede Guy 7 286 234 61 36 29 42 413
Mazzara Marco Norway 7 267 0.9× 230 1.0× 48 0.8× 36 1.0× 27 0.9× 43 387
Giovanna Danies Colombia 15 190 0.7× 572 2.4× 13 0.2× 84 2.3× 58 2.0× 39 985
Christine S. Booth United States 10 290 1.0× 35 0.1× 11 0.2× 40 1.1× 34 1.2× 16 419
Ann Taylor United States 11 166 0.6× 336 1.4× 18 0.3× 43 1.2× 33 1.1× 21 503
Hang Nguyen Thi Thu Germany 9 285 1.0× 231 1.0× 21 0.3× 17 0.5× 15 0.5× 18 391
Yuping Wang China 12 339 1.2× 677 2.9× 147 2.4× 99 2.8× 57 2.0× 37 1.1k
Karin van Dijk United States 16 322 1.1× 1.1k 4.7× 74 1.2× 40 1.1× 17 0.6× 26 1.4k
Christian Meesters Germany 10 137 0.5× 130 0.6× 63 1.0× 13 0.4× 14 0.5× 19 445
Dilara Begum United States 13 479 1.7× 628 2.7× 35 0.6× 8 0.2× 45 1.6× 32 851
Cristina G. Reynaga‐Peña Mexico 12 650 2.3× 625 2.7× 24 0.4× 27 0.8× 15 0.5× 25 936

Countries citing papers authored by Van Den Eede Guy

Since Specialization
Citations

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

Fields of papers citing papers by Van Den Eede Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van Den Eede Guy. 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 Van Den Eede Guy. The network helps show where Van Den Eede Guy may publish in the future.

Co-authorship network of co-authors of Van Den Eede Guy

This figure shows the co-authorship network connecting the top 25 collaborators of Van Den Eede Guy. A scholar is included among the top collaborators of Van Den Eede Guy 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 Van Den Eede Guy. Van Den Eede Guy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Petrillo, Mauro, et al.. (2018). The Human Gut Microbiota: Overview and analysis of the current scientific knowledge and possible impact on healthcare and well-being. Joint Research Centre (European Commission). 7 indexed citations
2.
Petrillo, Mauro, et al.. (2017). The Role and Implementation of Next-Generation Sequencing Technologies in the Coordinated Action Plan against Antimicrobial Resistance. Joint Research Centre (European Commission). 4 indexed citations
3.
4.
Cristian, Savini, Alessia Bogni, Mazzara Marco, & Van Den Eede Guy. (2013). Event-specific Method for the Quantification of Oilseed Rape Line Rf3 Using Real-time PCR - Validation Report and Validated Method, Seeds Sampling and DNA Extraction – v. 1.01. Joint Research Centre (European Commission). 1 indexed citations
5.
Marco, Mazzara, et al.. (2013). Event-specific Method for the Quantification of Cotton Line MON 531 Using Real-time PCR - Validation Report and Validated Method – v. 1.01. Joint Research Centre (European Commission). 1 indexed citations
6.
Bogni, Alessia, et al.. (2013). Event-specific Method for the Quantification of Soybean Line MON 89788 Using Real-time PCR v. 1.01: Validation Report and Validated Method. Joint Research Centre (European Commission). 5 indexed citations
7.
Marco, Mazzara, et al.. (2013). Event-Specific Method for the Quantitation of Sugar beet line H7-1 Using Real-time PCR - Validation Report and Validated Method - v. 1.01. Joint Research Centre (European Commission). 1 indexed citations
8.
Marco, Mazzara, et al.. (2012). Event-specific method for the quantification of soybean MON 87705 using real-time PCR validation report. Joint Research Centre (European Commission). 2 indexed citations
9.
Cristian, Savini, et al.. (2012). Event-specific Method for the Quantification of Maize MON87460 Using Real-time PCR: Validation Report and Validated Method. Joint Research Centre (European Commission). 1 indexed citations
10.
Guy, Van Den Eede, et al.. (2012). The EU Legislation on GMOs: an overview - Update December 2011. Joint Research Centre (European Commission).
11.
12.
Cristian, Savini, et al.. (2011). Event-specific Method for the Quantification of Maize 98140 by Real-time PCR. Joint Research Centre (European Commission). 3 indexed citations
13.
Folloni, Silvia, et al.. (2009). Report on the Verification of the Performance of a Construct-Specific Assay for the Detection of Flax CDC Triffid Event FP967 Using Real-Time PCR. Joint Research Centre (European Commission). 6 indexed citations
14.
Cristian, Savini, et al.. (2009). Report on the Verification of the Performance of MON 531 and MON 1445 Event-specific Methods on the Cotton Event MON 531 x MON 1445 Using Real-Time PCR. Joint Research Centre (European Commission). 1 indexed citations
15.
Bogni, Alessia, et al.. (2009). The Transition to Computer-Based Assessment New Approaches to Skills Assessment and Implications for Large-scale Testing. Joint Research Centre (European Commission). 71 indexed citations
16.
Cristian, Savini, et al.. (2009). Report on the Verification of the Performance of MON89034 and NK603 Event-specific Methods on the Maize Event MON89034 x NK603 Using Real-Time PCR. Joint Research Centre (European Commission). 1 indexed citations
17.
18.
Moens, William, et al.. (2007). Analytes and Related PCR Primers Used for GMO Detection and Quantification. Joint Research Centre (European Commission). 5 indexed citations
19.
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
20.
Marco, Mazzara, et al.. (2007). Verification of Performance of Ms8 and Rf3 Event-Specific Methods on the Hybrid Ms8xRf3 Using Real-time PCR - Validation Report and Protocol. Joint Research Centre (European Commission). 2 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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