P.P. De Deyn

1.1k total citations · 1 hit paper
8 papers, 854 citations indexed

About

P.P. De Deyn is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, P.P. De Deyn has authored 8 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in P.P. De Deyn's work include Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). P.P. De Deyn is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). P.P. De Deyn collaborates with scholars based in Belgium, Netherlands and Germany. P.P. De Deyn's co-authors include Hans Pottel, P.D. Mehta, Eugeen Vanmechelen, Hugo Vanderstichele, Kaj Blennow, Markus J. Riemenschneider, Jens Wiltfang, Khalid Iqbal, Patrick Cras and C. Bancher and has published in prestigious journals such as Molecular and Cellular Biology, Neurology and Kidney International.

In The Last Decade

P.P. De Deyn

8 papers receiving 828 citations

Hit Papers

Improved discrimination of AD patients using β-amyloid (1... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.P. De Deyn Belgium 6 543 361 294 146 117 8 854
Qiao-Xin Li Australia 19 443 0.8× 199 0.6× 351 1.2× 99 0.7× 178 1.5× 26 1.1k
Chera L. Maarouf United States 21 791 1.5× 301 0.8× 352 1.2× 332 2.3× 216 1.8× 34 1.3k
A. A. F. Sima United States 16 473 0.9× 123 0.3× 225 0.8× 141 1.0× 309 2.6× 28 931
Tom Thomas United States 11 632 1.2× 141 0.4× 249 0.8× 345 2.4× 128 1.1× 25 941
Yoshiko Furiya Japan 21 519 1.0× 176 0.5× 561 1.9× 111 0.8× 222 1.9× 45 1.2k
Annika Olsson Sweden 8 681 1.3× 396 1.1× 286 1.0× 146 1.0× 205 1.8× 9 932
Alessia Maddalena Switzerland 10 876 1.6× 187 0.5× 470 1.6× 261 1.8× 78 0.7× 13 1.3k
Kerstin Heurling Sweden 18 530 1.0× 354 1.0× 198 0.7× 89 0.6× 78 0.7× 43 1.0k
Katy Chalmers United Kingdom 19 647 1.2× 174 0.5× 597 2.0× 207 1.4× 179 1.5× 35 1.5k
Susan Iivonen Finland 12 411 0.8× 203 0.6× 167 0.6× 122 0.8× 43 0.4× 13 953

Countries citing papers authored by P.P. De Deyn

Since Specialization
Citations

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

Fields of papers citing papers by P.P. De Deyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.P. De Deyn. 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 P.P. De Deyn. The network helps show where P.P. De Deyn may publish in the future.

Co-authorship network of co-authors of P.P. De Deyn

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

All Works

8 of 8 papers shown
1.
Wostyn, Peter, Kurt Audenaert, & P.P. De Deyn. (2009). Alzheimer's disease and glaucoma: Is there a causal relationship?. British Journal of Ophthalmology. 93(12). 1557–1559. 85 indexed citations
2.
Torremans, An, Bart Marescau, Bettina Kränzlin, et al.. (2006). Biochemical validation of a rat model for polycystic kidney disease: Comparison of guanidino compound profile with the human condition. Kidney International. 69(11). 2003–2012. 16 indexed citations
3.
Schollen, Els, Liesbeth Keldermans, Raf Sciot, et al.. (2006). The Normal Phenotype of Pmm1-Deficient Mice Suggests that Pmm1 Is Not Essential for Normal Mouse Development. Molecular and Cellular Biology. 26(15). 5621–5635. 28 indexed citations
4.
Dam, Debby Van, Bart Marescau, T.I.F.H. Cremers, et al.. (2005). Regional distribution of biogenic amines, amino acids and cholinergic markers in the CNS of the C57BL/6 strain. Amino Acids. 28(4). 377–387. 4 indexed citations
5.
Versijpt, Jan, K. Van Laere, R. A. Dierckx, et al.. (2003). Scintigraphic visualization of inflammation in neurodegenerative disorders. Nuclear Medicine Communications. 24(2). 209–221. 4 indexed citations
6.
Demeester, N., G.R. Castro, Catherine Desrumaux, et al.. (2000). Characterization and functional studies of lipoproteins, lipid transfer proteins, and lecithin:cholesterol acyltransferase in CSF of normal individuals and patients with Alzheimer's disease. Journal of Lipid Research. 41(6). 963–974. 127 indexed citations
7.
D’Hooge, Rudi, et al.. (1999). Uraemic guanidino compounds inhibit γ -aminobutyric acid-evoked whole cell currents in mouse spinal cord neurones. Neuroscience Letters. 265(2). 83–86. 27 indexed citations
8.
Hulstaert, Frank, Kaj Blennow, Adrian Ivanoiu, et al.. (1999). Improved discrimination of AD patients using β-amyloid (1-42) and tau levels in CSF. Neurology. 52(8). 1555–1555. 563 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026