Daniel Maes

2.5k total citations
70 papers, 1.9k citations indexed

About

Daniel Maes is a scholar working on Dermatology, Molecular Biology and Biochemistry. According to data from OpenAlex, Daniel Maes has authored 70 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Dermatology, 13 papers in Molecular Biology and 12 papers in Biochemistry. Recurrent topics in Daniel Maes's work include Skin Protection and Aging (36 papers), Advancements in Transdermal Drug Delivery (10 papers) and Dermatology and Skin Diseases (9 papers). Daniel Maes is often cited by papers focused on Skin Protection and Aging (36 papers), Advancements in Transdermal Drug Delivery (10 papers) and Dermatology and Skin Diseases (9 papers). Daniel Maes collaborates with scholars based in United States, Belgium and Canada. Daniel Maes's co-authors include Mary S. Matsui, L. Declercq, Neelam Muizzuddin, Edward Pelle, K. Marenus, Thomas Mammone, Hugo Corstjens, Farrukh Afaq, Deeba N. Syed and Hasan Mukhtar and has published in prestigious journals such as Cancer Research, Annals of the New York Academy of Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Daniel Maes

69 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Maes United States 27 860 438 274 269 188 70 1.9k
Chiara De Luca Italy 32 724 0.8× 703 1.6× 362 1.3× 365 1.4× 185 1.0× 67 2.5k
Laurent Marrot France 26 1.0k 1.2× 876 2.0× 573 2.1× 199 0.7× 112 0.6× 48 2.3k
Hagen Tronnier Germany 17 981 1.1× 303 0.7× 230 0.8× 850 3.2× 257 1.4× 38 1.9k
R. E. Davies United States 23 766 0.9× 648 1.5× 247 0.9× 196 0.7× 65 0.3× 73 2.2k
Claudia Sticozzi Italy 24 351 0.4× 580 1.3× 121 0.4× 157 0.6× 112 0.6× 52 2.0k
Jens J. Thiele United States 29 1.9k 2.2× 868 2.0× 418 1.5× 851 3.2× 557 3.0× 65 3.7k
Kays H. Kaidbey United States 32 1.9k 2.2× 342 0.8× 617 2.3× 85 0.3× 128 0.7× 78 2.7k
Franco Cervellati Italy 23 371 0.4× 510 1.2× 107 0.4× 125 0.5× 108 0.6× 69 1.9k
Emanuela Maioli Italy 22 249 0.3× 602 1.4× 119 0.4× 105 0.4× 76 0.4× 61 1.7k
Minsoo Noh South Korea 28 428 0.5× 875 2.0× 348 1.3× 107 0.4× 33 0.2× 122 2.5k

Countries citing papers authored by Daniel Maes

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Maes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Maes

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Maes. A scholar is included among the top collaborators of Daniel Maes 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 Daniel Maes. Daniel Maes 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.
Jian, Jinlong, Edward Pelle, Qing Yang, et al.. (2010). Iron sensitizes keratinocytes and fibroblasts to UVA-mediated matrix metalloproteinase-1 through TNF-α and ERK activation. Experimental Dermatology. 20(3). 249–254. 17 indexed citations
2.
Kelst, Sofie Van, Charlotte M. Proby, Daniel Maes, et al.. (2010). The Flavonoid Luteolin Increases the Resistance of Normal, but Not Malignant Keratinocytes, Against UVB-Induced Apoptosis. Journal of Investigative Dermatology. 130(9). 2277–2285. 34 indexed citations
3.
4.
Zaid, Mohammad Abu, Farrukh Afaq, Naghma Khan, et al.. (2008). Exposure of normal human epidermal keratinocytes to ozone results in increased expression of cytochrome P450 through activation of aryl hydrocarbon receptor. Cancer Research. 68. 595–595. 1 indexed citations
5.
Blander, Gil, Thomas Mammone, Daniel Maes, et al.. (2008). SIRT1 Promotes Differentiation of Normal Human Keratinocytes. Journal of Investigative Dermatology. 129(1). 41–49. 96 indexed citations
6.
Goyarts, Earl, Mary S. Matsui, Anna M. Bender, et al.. (2008). Norepinephrine modulates human dendritic cell activation by altering cytokine release. Experimental Dermatology. 17(3). 188–196. 53 indexed citations
7.
Corstjens, Hugo, et al.. (2008). Glycation associated skin autofluorescence and skin elasticity are related to chronological age and body mass index of healthy subjects. Experimental Gerontology. 43(7). 663–667. 48 indexed citations
8.
Camouse, Melissa, Mary S. Matsui, Thomas Mammone, et al.. (2007). UV Protective Effects of DNA Repair Enzymes and RNA Lotion. Photochemistry and Photobiology. 84(1). 180–184. 14 indexed citations
9.
Corstjens, Hugo, et al.. (2007). Prevention of oxidative damage that contributes to the loss of bioenergetic capacity in ageing skin. Experimental Gerontology. 42(9). 924–929. 15 indexed citations
10.
Maes, Daniel, et al.. (2005). A Low UVB Dose, with the Potential to Trigger a Protective p53-Dependent Gene Program, Increases the Resilience of Keratinocytes against Future UVB Insults. Journal of Investigative Dermatology. 125(5). 1026–1031. 28 indexed citations
11.
12.
Garmyn, Marjan, et al.. (2001). Human Keratinocytes Respond to Osmotic Stress by p38 Map Kinase Regulated Induction of HSP70 and HSP27. Journal of Investigative Dermatology. 117(5). 1290–1295. 54 indexed citations
13.
Mammone, Thomas, et al.. (2001). The Cytoprotective Effects of Exogenous DNA Fragments. Skin Pharmacology and Physiology. 15(1). 26–34. 2 indexed citations
14.
Collins, David W., et al.. (2000). Successful separation of apoptosis and necrosis pathways in HaCaT keratinocyte cells induced by UVB irradiation. Cell Biology and Toxicology. 16(5). 293–302. 37 indexed citations
15.
Pelle, Edward, et al.. (1999). Protection against endogenous and UVB‐induced oxidative damage in stratum corneum lipids by an antioxidant‐containing cosmetic formulation. Photodermatology Photoimmunology & Photomedicine. 15(3-4). 115–119. 25 indexed citations
16.
Muizzuddin, Neelam, K. Marenus, & Daniel Maes. (1998). Factors Defining Sensitive Skin and its Treatment. Dermatitis. 9(3). 170–175. 10 indexed citations
17.
Mammone, Thomas, et al.. (1998). The Induction of Terminal Differentiation Markers by the cAMP Pathway in Human HaCaT Keratinocytes. Skin Pharmacology and Physiology. 11(3). 152–160. 14 indexed citations
18.
Pelle, Edward, et al.. (1998). Protection against cigarette smoke-induced damage to intact transformed rabbit corneal cells by N-acetyl-L-cysteine. Cell Biology and Toxicology. 14(4). 253–259. 10 indexed citations
19.
Muizzuddin, Neelam, et al.. (1997). Effect of cigarette smoke on skin. Journal of the Society of Cosmetic Chemists. 48(5). 235–242. 15 indexed citations
20.
Maes, Daniel, et al.. (1991). In vivo assessment of skin elasticity using ballistometry. Journal of the Society of Cosmetic Chemists. 42(4). 211–222. 20 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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