Delphine Demeestere

873 total citations
7 papers, 505 citations indexed

About

Delphine Demeestere is a scholar working on Molecular Biology, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Delphine Demeestere has authored 7 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Delphine Demeestere's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Peripheral Neuropathies and Disorders (2 papers). Delphine Demeestere is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Peripheral Neuropathies and Disorders (2 papers). Delphine Demeestere collaborates with scholars based in Belgium, Switzerland and Italy. Delphine Demeestere's co-authors include Roosmarijn E. Vandenbroucke, Claude Libert, Elien Van Wonterghem, Riet De Rycke, Marjana Brkić, Kris Gevaert, Koen Raemdonck, An Hendrix, Stephan Stremersch and Valerie Vanhooren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Neurochemistry.

In The Last Decade

Delphine Demeestere

7 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Delphine Demeestere Belgium 7 232 139 120 81 62 7 505
Dao Ly Canada 7 396 1.7× 112 0.8× 74 0.6× 53 0.7× 22 0.4× 11 649
Raghavendra Upadhya United States 9 416 1.8× 133 1.0× 168 1.4× 32 0.4× 37 0.6× 11 526
Rana Zabad United States 16 137 0.6× 112 0.8× 58 0.5× 49 0.6× 92 1.5× 34 722
Seung-Wan Yoo United States 7 432 1.9× 132 0.9× 150 1.3× 40 0.5× 81 1.3× 8 541
Xianyuan Song United States 12 150 0.6× 182 1.3× 38 0.3× 86 1.1× 154 2.5× 23 597
Woldeab B. Haile United States 14 251 1.1× 145 1.0× 225 1.9× 110 1.4× 78 1.3× 17 678
Héctor Perkal Spain 14 171 0.7× 82 0.6× 110 0.9× 34 0.4× 109 1.8× 19 873
Marie‐Lune Simard Germany 11 509 2.2× 75 0.5× 34 0.3× 57 0.7× 107 1.7× 12 827
Karin Seid Germany 12 245 1.1× 168 1.2× 50 0.4× 96 1.2× 204 3.3× 15 613
Parth Shah United States 12 330 1.4× 195 1.4× 26 0.2× 134 1.7× 70 1.1× 29 706

Countries citing papers authored by Delphine Demeestere

Since Specialization
Citations

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

Fields of papers citing papers by Delphine Demeestere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Delphine Demeestere

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

All Works

7 of 7 papers shown
1.
Demeestere, Delphine, Emilie Seydoux, José Boucraut, et al.. (2020). Selective inhibition of anti‐MAG IgM autoantibody binding to myelin by an antigen‐specific glycopolymer. Journal of Neurochemistry. 154(5). 486–501. 11 indexed citations
2.
Hänggi, Pascal, Fan Yang, Delphine Demeestere, et al.. (2017). Selective in vivo removal of pathogenic anti-MAG autoantibodies, an antigen-specific treatment option for anti-MAG neuropathy. Proceedings of the National Academy of Sciences. 114(18). E3689–E3698. 35 indexed citations
3.
Balusu, Sriram, Elien Van Wonterghem, Riet De Rycke, et al.. (2016). Identification of a novel mechanism of blood–brain communication during peripheral inflammation via choroid plexus‐derived extracellular vesicles. EMBO Molecular Medicine. 8(10). 1162–1183. 271 indexed citations
4.
Demeestere, Delphine, Eline Dejonckheere, Sophie Steeland, et al.. (2016). Development and Validation of a Small Single-domain Antibody That Effectively Inhibits Matrix Metalloproteinase 8. Molecular Therapy. 24(5). 890–902. 19 indexed citations
5.
Demeestere, Delphine, Claude Libert, & Roosmarijn E. Vandenbroucke. (2015). Clinical implications of leukocyte infiltration at the choroid plexus in (neuro)inflammatory disorders. Drug Discovery Today. 20(8). 928–941. 48 indexed citations
6.
Demeestere, Delphine, Claude Libert, & Roosmarijn E. Vandenbroucke. (2015). Therapeutic implications of the choroid plexus–cerebrospinal fluid interface in neuropsychiatric disorders. Brain Behavior and Immunity. 50. 1–13. 26 indexed citations
7.
Vandenbroucke, Roosmarijn E., Eline Dejonckheere, Philippe Van Lint, et al.. (2012). Matrix Metalloprotease 8-Dependent Extracellular Matrix Cleavage at the Blood-CSF Barrier Contributes to Lethality during Systemic Inflammatory Diseases. Journal of Neuroscience. 32(29). 9805–9816. 95 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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2026