Lieselot Dedeene

445 total citations
9 papers, 237 citations indexed

About

Lieselot Dedeene is a scholar working on Neurology, Physiology and Molecular Biology. According to data from OpenAlex, Lieselot Dedeene has authored 9 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Neurology, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Lieselot Dedeene's work include Amyotrophic Lateral Sclerosis Research (6 papers), Alzheimer's disease research and treatments (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Lieselot Dedeene is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (6 papers), Alzheimer's disease research and treatments (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Lieselot Dedeene collaborates with scholars based in Belgium, United States and Germany. Lieselot Dedeene's co-authors include Philip Van Damme, Koen Poesen, Ludo Van Den Bosch, Kristl G. Claeys, Benjamin Gille, Maxim De Schaepdryver, Jos Tournoy, Rik Vandenberghe, Dietmar Rudolf Thal and Evelien Van Schoor and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Acta Neuropathologica and Clinica Chimica Acta.

In The Last Decade

Lieselot Dedeene

9 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lieselot Dedeene Belgium 7 178 95 65 52 43 9 237
Izabella Obál Hungary 11 152 0.9× 52 0.5× 64 1.0× 59 1.1× 75 1.7× 22 291
Dario Saracino Italy 10 159 0.9× 54 0.6× 65 1.0× 58 1.1× 49 1.1× 34 275
Alexander J. Moszczynski Canada 10 187 1.1× 75 0.8× 141 2.2× 98 1.9× 27 0.6× 17 308
Jelena Scekic‐Zahirovic France 8 244 1.4× 149 1.6× 100 1.5× 49 0.9× 43 1.0× 9 301
Tiziana Colletti Italy 8 195 1.1× 101 1.1× 97 1.5× 60 1.2× 77 1.8× 12 282
Diana Wiesner Germany 8 96 0.5× 35 0.4× 81 1.2× 39 0.8× 45 1.0× 14 213
Qirui Jiang China 8 121 0.7× 29 0.3× 61 0.9× 19 0.4× 29 0.7× 49 211
Rebecca K. Sheean Australia 7 174 1.0× 102 1.1× 117 1.8× 58 1.1× 88 2.0× 7 328
Jérôme Sinniger France 6 217 1.2× 129 1.4× 117 1.8× 45 0.9× 34 0.8× 7 302
S. Sathasivam United Kingdom 6 139 0.8× 55 0.6× 63 1.0× 29 0.6× 36 0.8× 9 220

Countries citing papers authored by Lieselot Dedeene

Since Specialization
Citations

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

Fields of papers citing papers by Lieselot Dedeene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lieselot Dedeene

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

All Works

9 of 9 papers shown
1.
Dedeene, Lieselot, et al.. (2024). An artificial intelligence-driven support tool for prediction of urine culture test results. Clinica Chimica Acta. 562. 119854–119854. 6 indexed citations
2.
Dedeene, Lieselot, et al.. (2023). Performance evaluation of the automated body fluid analysis of the new Sysmex XR haematology analyser. Journal of Laboratory Medicine. 47(6). 257–265. 2 indexed citations
3.
Bercier, Valérie, Evelien Van Schoor, Jimmy Beckers, et al.. (2022). HNRNPK alleviates RNA toxicity by counteracting DNA damage in C9orf72 ALS. Acta Neuropathologica. 144(3). 465–488. 12 indexed citations
4.
Dedeene, Lieselot, Evelien Van Schoor, Simona Ospitalieri, et al.. (2020). Dipeptide repeat protein and TDP-43 pathology along the hypothalamic–pituitary axis in C9orf72 and non-C9orf72 ALS and FTLD-TDP cases. Acta Neuropathologica. 140(5). 777–781. 9 indexed citations
5.
Schoor, Evelien Van, Marta J. Koper, Simona Ospitalieri, et al.. (2020). Necrosome‐positive granulovacuolar degeneration is associated with TDP‐43 pathological lesions in the hippocampus of ALS/FTLD cases. Neuropathology and Applied Neurobiology. 47(2). 328–345. 22 indexed citations
6.
Gille, Benjamin, Maxim De Schaepdryver, Lieselot Dedeene, et al.. (2019). Inflammatory markers in cerebrospinal fluid: independent prognostic biomarkers in amyotrophic lateral sclerosis?. Journal of Neurology Neurosurgery & Psychiatry. 90(12). jnnp–2018. 62 indexed citations
7.
Dedeene, Lieselot, Evelien Van Schoor, Rik Vandenberghe, et al.. (2019). Circadian sleep/wake-associated cells show dipeptide repeat protein aggregates in C9orf72-related ALS and FTLD cases. Acta Neuropathologica Communications. 7(1). 189–189. 27 indexed citations
8.
Gille, Benjamin, Maxim De Schaepdryver, Lieselot Dedeene, et al.. (2018). Serum neurofilament light chain levels as a marker of upper motor neuron degeneration in patients with Amyotrophic Lateral Sclerosis. Neuropathology and Applied Neurobiology. 45(3). 291–304. 90 indexed citations
9.
Gille, Benjamin, Lieselot Dedeene, Erik Stoops, et al.. (2018). Automation on an Open-Access Platform of Alzheimer’s Disease Biomarker Immunoassays. SLAS TECHNOLOGY. 23(2). 188–197. 7 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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