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.
A comprehensive summary of LL-37, the factotum human cathelicidin peptide
2012449 citationsBart Landuyt, Walter Luyten et al.Cellular Immunologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Liliane Schoofs
Since
Specialization
Citations
This map shows the geographic impact of Liliane Schoofs'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 Liliane Schoofs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liliane Schoofs more than expected).
This network shows the impact of papers produced by Liliane Schoofs. 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 Liliane Schoofs. The network helps show where Liliane Schoofs may publish in the future.
Co-authorship network of co-authors of Liliane Schoofs
This figure shows the co-authorship network connecting the top 25 collaborators of Liliane Schoofs.
A scholar is included among the top collaborators of Liliane Schoofs 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 Liliane Schoofs. Liliane Schoofs is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Landuyt, Bart, et al.. (2012). A comprehensive summary of LL-37, the factotum human cathelicidin peptide. Cellular Immunology. 280(1). 22–35.449 indexed citations breakdown →
12.
Wei, Qing, Saeed Tarighi, Andreas Dötsch, et al.. (2011). Phenotypic and Genome-Wide Analysis of an Antibiotic-Resistant Small Colony Variant (SCV) of Pseudomonas. PLoS ONE. 6.4 indexed citations
13.
Loy, Tom Van, et al.. (2010). The complexity of Drosophila innate immunity. SHILAP Revista de lepidopterología. 7(1). 32–44.3 indexed citations
D’Hertog, Wannes, Lutgart Overbergh, Liliane Schoofs, et al.. (2006). Proteomic analysis of cytokine-induced dysfunction and death in insulin-producing INS-1E cells. Diabetologia. 49. 255–255.1 indexed citations
16.
Macours, Nathalie, et al.. (2003). Cloning and tissue distribution of the cyclic AMP generating peptide of the grey flesh fly Neobellieria bullata (Diptera : Sarcophagidae). Belgian journal of zoology. 133(2). 151–156.2 indexed citations
17.
Huybrechts, Jurgen, et al.. (2000). Relation between Dopa Decarboxylase activity and Paralytic activity in Tenebrio molitor and Neobellieria bullata. Belgian journal of zoology. 131. 11–16.3 indexed citations
Veelaert, Dirk, et al.. (1995). Allatostatic and allatotropic factors in the brain of the desert locust, Schistocerca gregaria. Lirias (KU Leuven).10 indexed citations
20.
Verhaert, Peter, Ann Devos, Liliane Schoofs, et al.. (1987). Periplaneta americana L. (Insecta, Blattidae) nervous system contains various substances with vertebrate proopiomelanocortin-derived peptide-like properties. General and Comparative Endocrinology. 46–46.1 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.