Hans Rediers

2.2k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

Hans Rediers is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Hans Rediers has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 17 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Hans Rediers's work include Plant-Microbe Interactions and Immunity (10 papers), Plant tissue culture and regeneration (9 papers) and Plant Pathogenic Bacteria Studies (7 papers). Hans Rediers is often cited by papers focused on Plant-Microbe Interactions and Immunity (10 papers), Plant tissue culture and regeneration (9 papers) and Plant Pathogenic Bacteria Studies (7 papers). Hans Rediers collaborates with scholars based in Belgium, United Kingdom and France. Hans Rediers's co-authors include Bart Lievens, Kris Willems, René De Mot, Jos Vanderleyden, Chris W. Michiels, Peter Bossier, Ingeborg Frans, Paul B. Rainey, Sam Crauwels and Sergio Álvarez‐Pérez and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Microbiology and Molecular Biology Reviews.

In The Last Decade

Hans Rediers

38 papers receiving 1.5k citations

Hit Papers

Current and emerging trends in techniques for plant patho... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Rediers Belgium 18 518 455 387 293 246 43 1.6k
Aurélie Lajus France 21 487 0.9× 1.1k 2.4× 163 0.4× 202 0.7× 539 2.2× 26 2.2k
Mikael Lenz Strube Denmark 22 461 0.9× 767 1.7× 385 1.0× 61 0.2× 450 1.8× 72 1.9k
Zoé Rouy France 25 556 1.1× 1.4k 3.2× 231 0.6× 389 1.3× 578 2.3× 37 2.7k
Chamilani Nikapitiya South Korea 32 195 0.4× 705 1.5× 1.0k 2.7× 95 0.3× 352 1.4× 105 2.6k
Mohd Termizi Yusof Malaysia 19 431 0.8× 242 0.5× 286 0.7× 142 0.5× 123 0.5× 69 1.0k
Murni Karim Malaysia 20 201 0.4× 327 0.7× 602 1.6× 118 0.4× 207 0.8× 83 1.8k
Tae‐Jin Choi South Korea 23 337 0.7× 604 1.3× 644 1.7× 141 0.5× 350 1.4× 94 1.8k
L.C. Reimer Germany 9 329 0.6× 1.2k 2.5× 88 0.2× 125 0.4× 571 2.3× 17 1.8k
Sarah Entwistle United States 8 565 1.1× 1.2k 2.7× 264 0.7× 63 0.2× 548 2.2× 10 2.1k
R. Coopman Belgium 23 1.7k 3.3× 1.0k 2.2× 391 1.0× 386 1.3× 699 2.8× 30 2.9k

Countries citing papers authored by Hans Rediers

Since Specialization
Citations

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

Fields of papers citing papers by Hans Rediers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Rediers

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Rediers. A scholar is included among the top collaborators of Hans Rediers 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 Hans Rediers. Hans Rediers 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.
Rediers, Hans, et al.. (2025). Draft genome sequences of 25 candidate biocontrol bacteria against Phytophthora cactorum. Microbiology Resource Announcements. 14(9). e0050225–e0050225.
3.
Crauwels, Sam, et al.. (2023). Current and emerging trends in techniques for plant pathogen detection. Frontiers in Plant Science. 14. 1120968–1120968. 91 indexed citations breakdown →
4.
Wagemans, Jeroen, et al.. (2023). Draft Genome Sequences of 27 Rhizogenic Agrobacterium Biovar 1 Strains, the Causative Agent of Hairy Root Disease. Microbiology Resource Announcements. 12(5). e0012423–e0012423. 1 indexed citations
5.
Holtappels, Dominique, Steve Baeyen, Marta Vallino, et al.. (2023). Back to the Roots: Agrobacterium -Specific Phages Show Potential to Disinfect Nutrient Solution from Hydroponic Greenhouses. Applied and Environmental Microbiology. 89(4). e0021523–e0021523. 10 indexed citations
7.
Ceustermans, A., P.J.M. Bonants, W. Van Hemelrijck, et al.. (2021). Quantitative PCR for detection and quantification of Phytophthora cactorum in the cultivation of strawberry. European Journal of Plant Pathology. 160(4). 867–882. 9 indexed citations
8.
Bosmans, Lien, et al.. (2021). Bacterial community dynamics of tomato hydroponic greenhouses infested with hairy root disease. FEMS Microbiology Ecology. 97(12). 11 indexed citations
9.
Bosmans, Lien, et al.. (2019). First Report of Hairy Root Disease, Caused by Rhizogenic Agrobacterium Biovar 1, in Hydroponic Bell Pepper Crop in South Korea. Plant Disease. 104(3). 968–968. 8 indexed citations
10.
Bosmans, Lien, Irene de Bruijn, Saskia Gerards, et al.. (2017). Potential for Biocontrol of Hairy Root Disease by a Paenibacillus Clade. Frontiers in Microbiology. 8. 447–447. 15 indexed citations
11.
Bosmans, Lien, Irene de Bruijn, René De Mot, Hans Rediers, & Bart Lievens. (2016). Agar composition affects in vitro screening of biocontrol activity of antagonistic microorganisms. Journal of Microbiological Methods. 127. 7–9. 20 indexed citations
12.
Bosmans, Lien, Sergio Álvarez‐Pérez, Rob Moerkens, et al.. (2015). Assessment of the genetic and phenotypic diversity among rhizogenicAgrobacteriumbiovar 1 strains infecting solanaceous and cucurbit crops. FEMS Microbiology Ecology. 91(8). fiv081–fiv081. 24 indexed citations
13.
Langie, Greet, et al.. (2014). Design and implementation of multi-campus, modular master classes in biochemical engineering. European Journal of Engineering Education. 40(4). 400–409.
14.
Frans, Ingeborg, Pieter Busschaert, Kristof Dierckens, et al.. (2013). Are type IV pili involved in <i>Vibrio anguillarum</i> virulence towards sea bass (<i>Dicentrarchus labrax</i> L.) larvae?. Agricultural Sciences. 4(6). 30–38. 4 indexed citations
15.
16.
Frans, Ingeborg, Kristof Dierckens, Sam Crauwels, et al.. (2013). Does Virulence Assessment of Vibrio anguillarum Using Sea Bass (Dicentrarchus labrax) Larvae Correspond with Genotypic and Phenotypic Characterization?. PLoS ONE. 8(8). e70477–e70477. 37 indexed citations
17.
Frans, Ingeborg, Chris W. Michiels, Peter Bossier, et al.. (2011). Vibrio anguillarum as a fish pathogen: virulence factors, diagnosis and prevention. Journal of Fish Diseases. 34(9). 643–661. 402 indexed citations
18.
Hulsmans, Ann, Koen Joris, Hans Rediers, et al.. (2009). Evaluation of process parameters of ultrasonic treatment of bacterial suspensions in a pilot scale water disinfection system. Ultrasonics Sonochemistry. 17(6). 1004–1009. 71 indexed citations
19.
Rediers, Hans, et al.. (2008). Hand hygiene in the food industry: Resolving an enigma?. Food Protection Trends. 28(8). 568–584. 7 indexed citations
20.
Rediers, Hans, Jos Vanderleyden, & René De Mot. (2007). Nitrate respiration in Pseudomonas stutzeri A15 and its involvement in rice and wheat root colonization. Microbiological Research. 164(4). 461–468. 24 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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