Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Biological control using invertebrates and microorganisms: plenty of new opportunities
2017625 citationsJ.C. van Lenteren, K. Bolckmans et al.BioControlprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of K. Bolckmans'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 K. Bolckmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Bolckmans more than expected).
This network shows the impact of papers produced by K. Bolckmans. 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 K. Bolckmans. The network helps show where K. Bolckmans may publish in the future.
Co-authorship network of co-authors of K. Bolckmans
This figure shows the co-authorship network connecting the top 25 collaborators of K. Bolckmans.
A scholar is included among the top collaborators of K. Bolckmans 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 K. Bolckmans. K. Bolckmans is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lenteren, J.C. van, K. Bolckmans, J. Köhl, Willem J. Ravensberg, & Alberto Urbaneja. (2017). Biological control using invertebrates and microorganisms: plenty of new opportunities. BioControl. 63(1). 39–59.625 indexed citations breakdown →
Knapp, M., et al.. (2013). The potential of Amblyseius swirskii as biocontrol agent for Aculops lycopersici on tomatoes.. 93. 51–57.5 indexed citations
Bolckmans, K., et al.. (2012). A successful method for whitefly and Tuta absoluta control in tomato. Evaluation after two years of application in practice.. 80. 237–244.18 indexed citations
Schelt, J. van, et al.. (2011). Comparing Aphidius colemani and Aphidius matricariae on Myzus persicae ssp. nicotianae in sweet pepper. Socio-Environmental Systems Modeling. 68. 169–172.4 indexed citations
Cock, Matthew J.W., J.C. van Lenteren, Jacques Brodeur, et al.. (2010). The use and exchange of biological control agents for food and agriculture. Journal of Biological Control. 26. 123–127.17 indexed citations
Bolckmans, K. & José E. Belda. (2008). Producción de enemigos naturales. Dialnet (Universidad de la Rioja). 477–484.2 indexed citations
16.
Bolckmans, K., et al.. (2007). Effects of artificial diets on the development and fecundity of Macrolophus pygmaeus and validation of a rapid fecundity assessment method. Ghent University Academic Bibliography (Ghent University). 3. 112–115.1 indexed citations
Bolckmans, K., et al.. (2004). A fecundity test for assessing the quality of Macrolophus caliginosus reared on artificial diets. Ghent University Academic Bibliography (Ghent University).16 indexed citations
19.
Hoogerbrugge, H., et al.. (1999). Biological pest control in cucumbers in the Netherlands.9 indexed citations
20.
Sterk, G., et al.. (1996). A new microbial insecticide, Paecilomyces fumosoroseus strain Apopka 97, for the control of the greenhouse whitefly.. 461–466.13 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.