Peter P. De Deyn

67 total papers · 4.3k total citations
35 papers, 1.7k citations indexed

About

Peter P. De Deyn is a scholar working on Neurology, Physiology and Genetics. According to data from OpenAlex, Peter P. De Deyn has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Neurology, 9 papers in Physiology and 8 papers in Genetics. Recurrent topics in Peter P. De Deyn's work include Amyotrophic Lateral Sclerosis Research (17 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Peter P. De Deyn is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (17 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Peter P. De Deyn collaborates with scholars based in Belgium, Netherlands and Germany. Peter P. De Deyn's co-authors include Christine Van Broeckhoven, Sebastiaan Engelborghs, Marc Cruts, Maria Mattheijssens, Karin Peeters, Julie van der Zee, Kristel Sleegers, Rik Vandenberghe, Ilse Gijselinck and Tim Van Langenhove and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Peter P. De Deyn

34 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter P. De Deyn 952 618 479 470 306 35 1.7k
Jennifer Gass 1.2k 1.2× 649 1.1× 775 1.6× 310 0.7× 360 1.2× 36 2.1k
Denise M. Kay 1.2k 1.2× 390 0.6× 733 1.5× 525 1.1× 224 0.7× 54 2.3k
Karin Peeters 1.1k 1.2× 957 1.5× 597 1.2× 631 1.3× 243 0.8× 32 1.9k
Christine Sato 1.0k 1.1× 943 1.5× 934 1.9× 434 0.9× 304 1.0× 66 2.3k
Isabelle Le Ber 1.3k 1.4× 487 0.8× 597 1.2× 499 1.1× 558 1.8× 51 1.8k
Maria Mattheijssens 867 0.9× 694 1.1× 441 0.9× 521 1.1× 231 0.8× 27 1.5k
Sara Bandrés‐Ciga 1.2k 1.3× 419 0.7× 580 1.2× 486 1.0× 103 0.3× 83 1.9k
Parastoo Momeni 802 0.8× 551 0.9× 510 1.1× 295 0.6× 167 0.5× 36 1.4k
Francesco Roselli 843 0.9× 582 0.9× 648 1.4× 313 0.7× 264 0.9× 77 2.1k
Valeria Manetto 560 0.6× 482 0.8× 1.1k 2.3× 572 1.2× 221 0.7× 37 1.9k

Countries citing papers authored by Peter P. De Deyn

Since Specialization
Citations

This map shows the geographic impact of Peter 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 Peter 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 Peter P. De Deyn more than expected).

Fields of papers citing papers by Peter P. De Deyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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