Guy Daneels

2.1k total citations
17 papers, 1.3k citations indexed

About

Guy Daneels is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Guy Daneels has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Guy Daneels's work include Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Guy Daneels is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). Guy Daneels collaborates with scholars based in Belgium, United States and Netherlands. Guy Daneels's co-authors include Marc Moeremans, Jan De Mey, Ilse Goris, Dieder Moechars, Diederik Moechars, Arjan Buist, Kim Cryns, Thomas Steckler, Patrik Verstreken and Bart De Strooper and has published in prestigious journals such as Journal of Neuroscience, Gastroenterology and Analytical Biochemistry.

In The Last Decade

Guy Daneels

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Daneels Belgium	13	645	439	328	176	158	17	1.3k
Lavinia Albéri Switzerland	25	996 1.5×	633 1.4×	265 0.8×	150 0.9×	152 1.0×	47	2.0k
Lynn A. Hyde United States	23	582 0.9×	492 1.1×	529 1.6×	204 1.2×	94 0.6×	64	1.8k
J. Randall Slemmon United States	22	869 1.3×	789 1.8×	543 1.7×	89 0.5×	159 1.0×	36	1.7k
Anne McMahon United States	27	820 1.3×	606 1.4×	247 0.8×	113 0.6×	189 1.2×	46	1.9k
Ja‐Kyeong Lee South Korea	26	876 1.4×	445 1.0×	249 0.8×	124 0.7×	153 1.0×	34	1.7k
A. Jacqueline Hunter United Kingdom	23	800 1.2×	660 1.5×	356 1.1×	179 1.0×	76 0.5×	30	1.9k
Jonathan Vinet Italy	27	1.2k 1.8×	884 2.0×	334 1.0×	220 1.3×	345 2.2×	41	3.0k
Linda R. Mills Canada	22	664 1.0×	569 1.3×	253 0.8×	74 0.4×	171 1.1×	42	1.3k
Juan M. Luque Spain	22	557 0.9×	727 1.7×	228 0.7×	132 0.8×	87 0.6×	41	1.6k
Koji Ohno Japan	23	791 1.2×	1.1k 2.5×	205 0.6×	65 0.4×	167 1.1×	58	1.8k

Countries citing papers authored by Guy Daneels

Since Specialization

Citations

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

Fields of papers citing papers by Guy Daneels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guy Daneels

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

All Works

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17 of 17 papers shown

Stroobants, Stijn, Frans W. Verheijen, Ilse Goris, et al.. (2017). Progressive leukoencephalopathy impairs neurobehavioral development in sialin-deficient mice. Experimental Neurology. 291. 106–119. 11 indexed citations

Calafate, Sara, Arjan Buist, Katarzyna Miśkiewicz, et al.. (2015). Synaptic Contacts Enhance Cell-to-Cell Tau Pathology Propagation. Cell Reports. 11(8). 1176–1183. 200 indexed citations

Kolen, Kristof Van, et al.. (2014). P4‐025: DOES LEUCINE‐RICH REPEAT KINASE 2 MEDIATE ALPHA‐SYNUCLEIN SEEDING VIA ITS ROLE IN ENDOCYTOSIS?. Alzheimer s & Dementia. 10(4S_Part_21). 1 indexed citations

Arranz, Amaia M., Kristof Van Kolen, Marco Rafael Guimarães, et al.. (2014). LRRK2 functions in synaptic vesicle endocytosis through a kinase-dependent mechanism. Journal of Cell Science. 128(3). 541–52–541–52. 137 indexed citations

Callaerts‐Vegh, Zsuzsanna, Diederik Moechars, Nathalie Van Acker, et al.. (2013). Haploinsufficiency of VGluT1 but not VGluT2 impairs extinction of spatial preference and response suppression. Behavioural Brain Research. 245. 13–21. 13 indexed citations

Kolen, Kristof Van, Wim Mandemakers, Guy Daneels, et al.. (2012). Development of an enzyme-linked immunosorbent assay for detection of cellular and in vivo LRRK2 S935 phosphorylation. Journal of Pharmaceutical and Biomedical Analysis. 76. 49–58. 19 indexed citations

Molnár, Csilla, Masahiko Watanabe, Guy Daneels, et al.. (2009). Demonstration of vesicular glutamate transporter-1 in corticotroph cells in the anterior pituitary of the rat. Neurochemistry International. 56(3). 479–486. 6 indexed citations

Cryns, Kim, Alon Shamir, Nathalie Van Acker, et al.. (2007). IMPA1 is Essential for Embryonic Development and Lithium-Like Pilocarpine Sensitivity. Neuropsychopharmacology. 33(3). 674–684. 52 indexed citations

Prickaerts, Jos, Dieder Moechars, Kim Cryns, et al.. (2006). Transgenic Mice Overexpressing Glycogen Synthase Kinase 3β: A Putative Model of Hyperactivity and Mania. Journal of Neuroscience. 26(35). 9022–9029. 277 indexed citations

10.

Moechars, Diederik, Matthew C. Weston, Sandra Leo, et al.. (2006). Vesicular Glutamate Transporter VGLUT2 Expression Levels Control Quantal Size and Neuropathic Pain. Journal of Neuroscience. 26(46). 12055–12066. 172 indexed citations

11.

Moechars, Dieder, Inge Depoortere, Benoít Moreaux, et al.. (2006). Altered Gastrointestinal and Metabolic Function in the GPR39-Obestatin Receptor–Knockout Mouse. Gastroenterology. 131(4). 1131–1141. 133 indexed citations

12.

Janssens, Sophie, et al.. (1999). Retinoic Acid Potentiates TNF-α-Induced ICAM-1 Expression in Normal Human Epidermal Keratinocytes. Biochemical and Biophysical Research Communications. 255(1). 64–69. 10 indexed citations

13.

Svendsen, Morten, Guy Daneels, Johan Geysen, Lise Binderup, & Knud Kragballe. (1997). Proliferation and Differentiation of Cultured Human Keratinocytes is Modulated by 1,25(OH)₂D₃ and Synthetic Vitamin D₃ Analogues in a Cell Density‐, Calcium‐ and Serum‐Dependent Manner*. Pharmacology & Toxicology. 80(1). 49–56. 33 indexed citations

14.

Moeremans, Marc, et al.. (1987). The use of colloidal metal particles in protein blotting. Electrophoresis. 8(9). 403–409. 19 indexed citations

15.

Moeremans, Marc, et al.. (1986). FerriDye: Colloidal iron binding followed by Perls' reaction for the staining of proteins transferred from sodium dodecyl sulfate gels to nitrocellulose and positively charged nylon membranes. Analytical Biochemistry. 153(1). 18–22. 36 indexed citations

16.

Daneels, Guy, et al.. (1986). Sequential immunostaining (gold/silver) and complete protein staining (AuroDye) on Western blots. Journal of Immunological Methods. 89(1). 89–91. 23 indexed citations

17.

Moeremans, Marc, Guy Daneels, & Jan De Mey. (1985). Sensitive colloidal metal (gold or silver) staining of protein blots on nitrocellulose membranes. Analytical Biochemistry. 145(2). 315–321. 191 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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