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.
Complete genome sequence of Lactobacillus plantarum WCFS1
20031.2k citationsMichiel Kleerebezem, Jos Boekhorst et al.Proceedings of the National Academy of Sciencesprofile →
The White Spot Syndrome Virus DNA Genome Sequence
2001521 citationsM.C.W. van Hulten, Jeroen Witteveldt et al.Virologyprofile →
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 H. Sandbrink'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 H. Sandbrink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Sandbrink more than expected).
This network shows the impact of papers produced by H. Sandbrink. 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 H. Sandbrink. The network helps show where H. Sandbrink may publish in the future.
Co-authorship network of co-authors of H. Sandbrink
This figure shows the co-authorship network connecting the top 25 collaborators of H. Sandbrink.
A scholar is included among the top collaborators of H. Sandbrink 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 H. Sandbrink. H. Sandbrink is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kleerebezem, Michiel, Jos Boekhorst, Richard van Kranenburg, et al.. (2003). Complete genome sequence of Lactobacillus plantarum WCFS1. Proceedings of the National Academy of Sciences. 100(4). 1990–1995.1204 indexed citations breakdown →
4.
Hulten, M.C.W. van, Jeroen Witteveldt, Sander Peters, et al.. (2001). The White Spot Syndrome Virus DNA Genome Sequence. Virology. 286(1). 7–22.521 indexed citations breakdown →
Witteveldt, Jeroen, Sander Peters, Nico Kloosterboer, et al.. (2001). RAPID COMMUNICATION The White Spot Syndrome Virus DNA Genome Sequence.2 indexed citations
Peters, Sandra J., Wilfred F. J. IJkel, H. Sandbrink, et al.. (2000). The Helicoverpa armigera single-nucleocapsid nucleopolyhedrovirus genome sequence. Socio-Environmental Systems Modeling. 35–35.1 indexed citations
9.
Stiekema, W. J., E.A.G. van der Vossen, H. Sandbrink, et al.. (1999). Two paralogous genes of the GPA2 resistance locus confer both virus and nematode resistance to potato. Socio-Environmental Systems Modeling. 428–432.1 indexed citations
10.
Sandbrink, H., Petra Wolters, Edwin van der Vossen, et al.. (1998). Identification and engineering of disease resistance genes in potato.. Socio-Environmental Systems Modeling.1 indexed citations
Sandbrink, H., et al.. (1993). Mapping quantitative genes involved in a trait assessed on an ordinal scale: a case study with bacterial cancer in Lycopersicon peruvianum.. Socio-Environmental Systems Modeling. 59–74.11 indexed citations
14.
Vries, J. de, et al.. (1992). Mildew and leaf blight in onions. RAPD markers assist in resistance breeding.. 46(2). 50–51.1 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.