Boél De Paepe

4.3k total citations
110 papers, 2.5k citations indexed

About

Boél De Paepe is a scholar working on Molecular Biology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Boél De Paepe has authored 110 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 33 papers in Epidemiology and 14 papers in Clinical Biochemistry. Recurrent topics in Boél De Paepe's work include Muscle Physiology and Disorders (31 papers), Inflammatory Myopathies and Dermatomyositis (29 papers) and Mitochondrial Function and Pathology (24 papers). Boél De Paepe is often cited by papers focused on Muscle Physiology and Disorders (31 papers), Inflammatory Myopathies and Dermatomyositis (29 papers) and Mitochondrial Function and Pathology (24 papers). Boél De Paepe collaborates with scholars based in Belgium, Germany and France. Boél De Paepe's co-authors include Jan De Bleecker, Kim K. Creus, Rudy Van Coster, J. M. Schröder, Joél Smet, Jean‐Jacques Martin, Gillian Bullock, Sara Seneca, Christian R. De Potter and Gábor Rácz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Boél De Paepe

103 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boél De Paepe Belgium 27 1.3k 651 281 257 255 110 2.5k
Zhi Yang China 34 1.4k 1.0× 487 0.7× 230 0.8× 134 0.5× 312 1.2× 66 2.6k
Saranya Ravi United States 20 1.0k 0.8× 453 0.7× 177 0.6× 63 0.2× 419 1.6× 27 2.3k
Yanqing Zhu United States 34 1.7k 1.3× 503 0.8× 417 1.5× 97 0.4× 580 2.3× 74 4.1k
Andrea Flex Italy 31 802 0.6× 329 0.5× 661 2.4× 137 0.5× 304 1.2× 103 2.6k
Fei Han China 30 1.1k 0.9× 201 0.3× 368 1.3× 247 1.0× 237 0.9× 177 3.0k
Albert J. Augustin Germany 35 825 0.6× 258 0.4× 146 0.5× 212 0.8× 230 0.9× 180 5.2k
Stefan E. Hardt Germany 32 2.1k 1.6× 424 0.7× 711 2.5× 172 0.7× 237 0.9× 91 4.2k
Maria Bertolotto Italy 28 578 0.4× 391 0.6× 358 1.3× 170 0.7× 249 1.0× 88 2.6k
Paul A.J. Krijnen Netherlands 27 801 0.6× 313 0.5× 402 1.4× 116 0.5× 263 1.0× 96 2.4k
Tetsuro Shishido Japan 36 1.3k 1.0× 422 0.6× 607 2.2× 149 0.6× 519 2.0× 149 4.0k

Countries citing papers authored by Boél De Paepe

Since Specialization
Citations

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

Fields of papers citing papers by Boél De Paepe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boél De Paepe

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

All Works

20 of 20 papers shown
1.
Paepe, Boél De. (2023). Incorporating circulating cytokines into the idiopathic inflammatory myopathy subclassification toolkit. Frontiers in Medicine. 10. 1130614–1130614.
2.
Stojkovic, Tanya, A. Nascimento, John Vissing, et al.. (2023). P424 Identify genetic modifiers controlling severity of collagen-6 related dystrophies (COL6-RD). Neuromuscular Disorders. 33. S158–S158.
3.
4.
Jarošová, Jana, et al.. (2019). Relevance of solute carrier family 5 transporter defects to inherited and acquired human disease. Journal of Applied Genetics. 60(3-4). 305–317. 13 indexed citations
5.
Olivier, P.A.S., Boél De Paepe, Eleonora Aronica, et al.. (2019). Idiopathic inflammatory myopathy. Neurology. 93(9). e889–e894. 15 indexed citations
6.
Paepe, Boél De, Jean‐Jacques Martin, C. Jimenez‐Mallebrera, et al.. (2016). Activation of osmolyte pathways in inflammatory myopathy and Duchenne muscular dystrophy points to osmoregulation as a contributing pathogenic mechanism. Laboratory Investigation. 96(8). 872–884. 15 indexed citations
7.
Schmidt, Karsten, Jana Zschüntzsch, Boél De Paepe, et al.. (2015). Inflammatory- and NaCl-induced expression of NFAT5 in muscle cells point to common stress response mechanisms. Neuromuscular Disorders. 25. S252–S253. 2 indexed citations
8.
Bleecker, Jan De, Jan De Bleecker, Boél De Paepe, et al.. (2014). 205th ENMC International Workshop: Pathology diagnosis of idiopathic inflammatory myopathies Part II 28–30 March 2014, Naarden, The Netherlands. Neuromuscular Disorders. 25(3). 268–272. 96 indexed citations
9.
Spits, Claudia, Katrien Stouffs, An I. Jonckheere, et al.. (2014). A Bumpy Ride on the Diagnostic Bench of Massive Parallel Sequencing, the Case of the Mitochondrial Genome. PLoS ONE. 9(11). e112950–e112950. 13 indexed citations
10.
Bolar, Nikhita, Arnaud Vanlander, Nathalie Van der Aa, et al.. (2013). Mutation of the iron-sulfur cluster assembly gene IBA57 causes severe myopathy and encephalopathy. Human Molecular Genetics. 22(13). 2590–2602. 90 indexed citations
11.
Smet, Joél, Boél De Paepe, Sara Seneca, et al.. (2011). Complex III staining in blue native polyacrylamide gels. Journal of Inherited Metabolic Disease. 34(3). 741–747. 20 indexed citations
12.
Kaspar, Frank, Jörg Schulz, Rainer Hollmann, et al.. (2009). Satellite-based datasets for validation of regional climate models: CM-SAF product suite and new tools for processing. EGU General Assembly Conference Abstracts. 11(1-2). 11948–81. 1 indexed citations
13.
Roels, Frank, Patrick Verloo, François Eyskens, et al.. (2009). Mitochondrial mosaics in the liver of 3 infants with mtDNA defects. BMC Clinical Pathology. 9(1). 4–4. 12 indexed citations
14.
Coster, Rudy Van, Joél Smet, Boél De Paepe, et al.. (2007). The presence of complex V subcomplexes in patients with defective intramitochondrial protein translation.. Ghent University Academic Bibliography (Ghent University). 30. 74–74. 1 indexed citations
15.
Paepe, Boél De, et al.. (2007). G.P.19.08 TNFα receptor signalling influences the expression of myosin heavy chain isoforms in musculus gastrocnemius of the mouse. Neuromuscular Disorders. 17(9-10). 896–896. 1 indexed citations
16.
Meulemans, Ann, Sara Seneca, Joél Smet, et al.. (2006). A new family with the mitochondrial tRNAGLU gene mutation m.14709T>C presenting with hydrops fetalis. European Journal of Paediatric Neurology. 11(1). 17–20. 13 indexed citations
17.
Päivä, Hannu, Karin Thelen, Rudy N. Van Coster, et al.. (2005). High-dose statins and skeletal muscle metabolism in humans: A randomized, controlled trial. Clinical Pharmacology & Therapeutics. 78(1). 60–68. 249 indexed citations
18.
Paepe, Boél De, et al.. (2005). Alpha-chemokine receptors CXCR1–3 and their ligands in idiopathic inflammatory myopathies. Acta Neuropathologica. 109(6). 576–582. 48 indexed citations
19.
Bleecker, Jan De, et al.. (2002). Beta chemokines and their receptors in inflammatory myopathies. Journal of the Neurological Sciences. 199. 3 indexed citations
20.
Roels, Frank, Marianne Depreter, M. Girós, et al.. (2002). Differential organ involvement in peroxisomal disorders. Journal of Inherited Metabolic Disease. 25. 99–99.

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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