Wim Jonckheere

2.0k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Wim Jonckheere is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Wim Jonckheere has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Physiology and 6 papers in Genetics. Recurrent topics in Wim Jonckheere's work include Bacterial Genetics and Biotechnology (6 papers), Alzheimer's disease research and treatments (6 papers) and Supramolecular Self-Assembly in Materials (4 papers). Wim Jonckheere is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Alzheimer's disease research and treatments (6 papers) and Supramolecular Self-Assembly in Materials (4 papers). Wim Jonckheere collaborates with scholars based in Belgium, Netherlands and France. Wim Jonckheere's co-authors include Frédéric Rousseau, Joost Schymkowitz, Annelies Vandersteen, Kerensa Broersen, Bart De Strooper, Inna Kuperstein, Ivo C. Martins, Rudi D’Hooge, Han Remaut and Jef Rozenski and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Wim Jonckheere

14 papers receiving 1.5k citations

Hit Papers

Neurotoxicity of Alzheime... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

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.

  1. Neurotoxicity of Alzheimer's disease Aβ peptides is induced by small changes in the Aβ42 to Aβ40 ratio
    2010 421 citations Inna Kuperstein, Kerensa Broersen et al. The EMBO Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Jonckheere Belgium 12 952 863 198 190 174 14 1.5k
Luitgard Nagel‐Steger Germany 27 881 0.9× 1.3k 1.5× 279 1.4× 179 0.9× 228 1.3× 58 2.0k
Alba Espargaró Spain 26 711 0.7× 907 1.1× 400 2.0× 140 0.7× 451 2.6× 61 1.7k
Theresa A. Good United States 25 785 0.8× 950 1.1× 135 0.7× 132 0.7× 165 0.9× 56 1.8k
Sabrina S. Vollers United States 11 1.4k 1.4× 1.1k 1.3× 376 1.9× 275 1.4× 243 1.4× 15 1.9k
Chi L.L. Pham Australia 25 844 0.9× 926 1.1× 79 0.4× 108 0.6× 91 0.5× 48 1.8k
Susanne Aileen Funke Germany 24 880 0.9× 787 0.9× 244 1.2× 194 1.0× 232 1.3× 48 1.4k
Vladimir A. Mitkevich Russia 27 531 0.6× 1.5k 1.8× 140 0.7× 82 0.4× 160 0.9× 190 2.2k
Satish Kumar India 18 984 1.0× 1.1k 1.3× 85 0.4× 91 0.5× 157 0.9× 51 2.2k
Joseph G. Neduvelil United Kingdom 9 672 0.7× 1.6k 1.9× 178 0.9× 59 0.3× 229 1.3× 11 2.3k
Elizabeth A. Proctor United States 24 331 0.3× 774 0.9× 102 0.5× 79 0.4× 70 0.4× 57 1.6k

Countries citing papers authored by Wim Jonckheere

Since Specialization
Citations

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

Fields of papers citing papers by Wim Jonckheere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wim Jonckheere

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

All Works

14 of 14 papers shown
1.
Fioravanti, Antonella, et al.. (2023). Structure and function of the EA1 surface layer of Bacillus anthracis. Nature Communications. 14(1). 7051–7051. 10 indexed citations
2.
Verren, Sander E. Van der, Nani Van Gerven, Wim Jonckheere, et al.. (2020). A dual-constriction biological nanopore resolves homonucleotide sequences with high fidelity. Nature Biotechnology. 38(12). 1415–1420. 93 indexed citations
3.
Fioravanti, Antonella, Filip Van Hauwermeiren, Sander E. Van der Verren, et al.. (2019). Structure of S-layer protein Sap reveals a mechanism for therapeutic intervention in anthrax. Nature Microbiology. 4(11). 1805–1814. 37 indexed citations
4.
Sleutel, Mike, Imke Van den Broeck, Nani Van Gerven, et al.. (2017). Nucleation and growth of a bacterial functional amyloid at single-fiber resolution. Nature Chemical Biology. 13(8). 902–908. 54 indexed citations
5.
Ganesan, Ashok, Maja Debulpaep, Hannah Wilkinson, et al.. (2014). Selectivity of Aggregation-Determining Interactions. Journal of Molecular Biology. 427(2). 236–247. 24 indexed citations
6.
Goyal, Parveen, Petya V. Krasteva, Nani Van Gerven, et al.. (2014). Structural and mechanistic insights into the bacterial amyloid secretion channel CsgG. Nature. 516(7530). 250–253. 223 indexed citations
7.
Gerven, Nani Van, Parveen Goyal, Guy Vandenbussche, et al.. (2014). Secretion and functional display of fusion proteins through the curli biogenesis pathway. Molecular Microbiology. 91(5). 1022–1035. 33 indexed citations
8.
Goyal, Parveen, Nani Van Gerven, Wim Jonckheere, & Han Remaut. (2013). Crystallization and preliminary X-ray crystallographic analysis of the curli transporter CsgG. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 69(12). 1349–1353. 7 indexed citations
9.
Vandersteen, Annelies, Marcelo F. Masman, Greet De Baets, et al.. (2012). Molecular Plasticity Regulates Oligomerization and Cytotoxicity of the Multipeptide-length Amyloid-β Peptide Pool. Journal of Biological Chemistry. 287(44). 36732–36743. 38 indexed citations
10.
Beerten, Jef, Wim Jonckheere, Stanislav G. Rudyak, et al.. (2012). Aggregation gatekeepers modulate protein homeostasis of aggregating sequences and affect bacterial fitness. Protein Engineering Design and Selection. 25(7). 357–366. 35 indexed citations
11.
Pauwels, Kris, Thomas L. Williams, Kyle L. Morris, et al.. (2011). Structural Basis for Increased Toxicity of Pathological Aβ42:Aβ40 Ratios in Alzheimer Disease. Journal of Biological Chemistry. 287(8). 5650–5660. 202 indexed citations
12.
Broersen, Kerensa, Wim Jonckheere, Jef Rozenski, et al.. (2011). A standardized and biocompatible preparation of aggregate-free amyloid beta peptide for biophysical and biological studies of Alzheimer's disease. Protein Engineering Design and Selection. 24(9). 743–750. 102 indexed citations
13.
Kuperstein, Inna, Kerensa Broersen, Iryna Benilova, et al.. (2010). Neurotoxicity of Alzheimer's disease Aβ peptides is induced by small changes in the Aβ42 to Aβ40 ratio. The EMBO Journal. 29(19). 3408–3420. 421 indexed citations breakdown →
14.
Martins, Ivo C., Inna Kuperstein, Hannah Wilkinson, et al.. (2007). Lipids revert inert Aβ amyloid fibrils to neurotoxic protofibrils that affect learning in mice. The EMBO Journal. 27(1). 224–233. 249 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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