Jef Boons

591 total citations
10 papers, 494 citations indexed

About

Jef Boons is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Jef Boons has authored 10 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Jef Boons's work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (3 papers) and Microtubule and mitosis dynamics (3 papers). Jef Boons is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (3 papers) and Microtubule and mitosis dynamics (3 papers). Jef Boons collaborates with scholars based in Belgium and United States. Jef Boons's co-authors include Ursula Lübke, Jan Six, J. Gheuens, Marc Mercken, A. Van de Voorde, Jean‐Jacques Martin, Marc Vandermeeren, Patrick Cras, Bart Van Everbroeck and Eugeen Vanmechelen and has published in prestigious journals such as Brain Research, Journal of Neurochemistry and Experimental Neurology.

In The Last Decade

Jef Boons

10 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jef Boons Belgium 8 355 248 135 92 89 10 494
M. Vandermeeren Belgium 8 598 1.7× 373 1.5× 265 2.0× 112 1.2× 185 2.1× 10 823
Dennis R. Sparkman United States 11 243 0.7× 216 0.9× 178 1.3× 72 0.8× 46 0.5× 22 505
Russell E. Kohnken United States 11 355 1.0× 339 1.4× 107 0.8× 76 0.8× 50 0.6× 15 608
Tsunehiko Ono Japan 9 213 0.6× 218 0.9× 119 0.9× 41 0.4× 67 0.8× 11 397
C W Wong United States 9 542 1.5× 412 1.7× 77 0.6× 85 0.9× 40 0.4× 10 687
Cédrick Lachaud France 7 350 1.0× 234 0.9× 167 1.2× 167 1.8× 35 0.4× 7 518
Ola Philipson Sweden 9 294 0.8× 183 0.7× 91 0.7× 99 1.1× 20 0.2× 9 417
Christopher J. Holler United States 11 356 1.0× 307 1.2× 65 0.5× 95 1.0× 74 0.8× 16 687
Patrice Delobel France 9 323 0.9× 223 0.9× 182 1.3× 74 0.8× 74 0.8× 11 449
Talitha L. Thomas United States 5 542 1.5× 295 1.2× 169 1.3× 216 2.3× 43 0.5× 7 659

Countries citing papers authored by Jef Boons

Since Specialization
Citations

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

Fields of papers citing papers by Jef Boons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jef Boons

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

All Works

10 of 10 papers shown
1.
Everbroeck, Bart Van, Jef Boons, & Patrick Cras. (2005). Cerebrospinal fluid biomarkers in Creutzfeldt–Jakob disease. Clinical Neurology and Neurosurgery. 107(5). 355–360. 56 indexed citations
2.
Everbroeck, Bart Van, et al.. (2004). Molecular diagnostic tools in Creutzfeldt-Jakob disease and other prion disorders. Expert Review of Molecular Diagnostics. 4(3). 351–359. 3 indexed citations
3.
Hendriks, Lydia, Chris De Jonghe, Ursula Lübke, et al.. (1998). Immunoreactivity of Presenilin-1 and Tau in Alzheimer's Disease Brain. Experimental Neurology. 149(2). 341–348. 23 indexed citations
4.
Lübke, Ursula, Jan Six, Marcello Villanova, et al.. (1994). Microtubule-associated protein tau epitopes are present in fiber lesions in diverse muscle disorders.. PubMed. 145(1). 175–88. 24 indexed citations
5.
6.
Mercken, Marc, Marc Vandermeeren, Ursula Lübke, et al.. (1992). Monoclonal antibodies with selective specificity for Alzheimer Tau are directed against phosphatase-sensitive epitopes. Acta Neuropathologica. 84(3). 265–272. 301 indexed citations
7.
Mercken, Marc, Ursula Lübke, Jan Six, et al.. (1992). Affinity Purification of Human τ Proteins and the Construction of a Sensitive Sandwich Enzyme‐Linked Immunosorbent Assay for Human τ Detection. Journal of Neurochemistry. 58(2). 548–553. 45 indexed citations
8.
Gheuens, J., Patrick Cras, George Perry, et al.. (1991). Demonstration of a novel neurofilament associated antigen with the neurofibrillary pathology of Alzheimer and related diseases. Brain Research. 558(1). 43–52. 15 indexed citations
9.
Mercken, Marc, Marc Vandermeeren, Ursula Lübke, et al.. (1991). Isolation of IgG1-secreting switch variants from IgM hybridomas produced after in vitro immunization. Journal of Immunological Methods. 138(2). 173–180. 5 indexed citations
10.
Cras, Patrick, J. Gheuens, Ursula Lübke, et al.. (1990). A monoclonal antibody raised against Alzheimer cortex that specifically recognizes a subpopulation of microglial cells.. Journal of Histochemistry & Cytochemistry. 38(8). 1201–1207. 12 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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