Jochen Kühnl

1.1k total citations
22 papers, 532 citations indexed

About

Jochen Kühnl is a scholar working on Dermatology, Small Animals and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jochen Kühnl has authored 22 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Dermatology, 5 papers in Small Animals and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jochen Kühnl's work include Contact Dermatitis and Allergies (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Computational Drug Discovery Methods (5 papers). Jochen Kühnl is often cited by papers focused on Contact Dermatitis and Allergies (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Computational Drug Discovery Methods (5 papers). Jochen Kühnl collaborates with scholars based in Germany, Belgium and France. Jochen Kühnl's co-authors include Gitta Neufang, Franz Stäb, Horst Wenck, Johannes Kirchmair, Dennis Roggenkamp, Andreas Schepky, Nicola J. Hewitt, Alexander Bürkle, Camille Géniès and Uwe Marx and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Allergy and Clinical Immunology and Toxicological Sciences.

In The Last Decade

Jochen Kühnl

21 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jochen Kühnl Germany 14 240 90 77 71 55 22 532
Erwin van Vliet Belgium 13 118 0.5× 158 1.8× 115 1.5× 65 0.9× 29 0.5× 19 463
Magalie Tailhardat France 11 278 1.2× 265 2.9× 103 1.3× 60 0.8× 100 1.8× 13 629
Aude Pauly France 14 78 0.3× 39 0.4× 96 1.2× 39 0.5× 61 1.1× 18 1.8k
David G. Hattan United States 10 187 0.8× 122 1.4× 103 1.3× 7 0.1× 72 1.3× 13 512
Marta Giral Spain 12 21 0.1× 36 0.4× 117 1.5× 10 0.1× 57 1.0× 21 452
H.B.W.M. Koëter Netherlands 12 23 0.1× 177 2.0× 81 1.1× 35 0.5× 83 1.5× 40 703
Douglas A. Hamilton United States 19 43 0.2× 14 0.2× 468 6.1× 16 0.2× 58 1.1× 32 1.0k
Alexandra Mack Germany 13 35 0.1× 4 0.0× 201 2.6× 72 1.0× 52 0.9× 28 576
Michael J. Finnen United Kingdom 14 53 0.2× 10 0.1× 149 1.9× 8 0.1× 159 2.9× 26 479
Chihiro Iwahara Japan 10 16 0.1× 11 0.1× 232 3.0× 22 0.3× 132 2.4× 11 620

Countries citing papers authored by Jochen Kühnl

Since Specialization
Citations

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

Fields of papers citing papers by Jochen Kühnl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jochen Kühnl

This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Kühnl. A scholar is included among the top collaborators of Jochen Kühnl 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 Jochen Kühnl. Jochen Kühnl 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.
Géniès, Camille, Abdulkarim Najjar, Andreas Schepky, et al.. (2024). Characterization of the in vitro penetration and first‐pass metabolism of genistein and daidzein using human and pig skin explants and Phenion full‐thickness skin models. Journal of Applied Toxicology. 45(2). 200–209. 2 indexed citations
2.
Najjar, Abdulkarim, Jochen Kühnl, Daniela Lange, et al.. (2024). Next-generation risk assessment read-across case study: application of a 10-step framework to derive a safe concentration of daidzein in a body lotion. Frontiers in Pharmacology. 15. 1421601–1421601. 8 indexed citations
3.
Géniès, Camille, Abdulkarim Najjar, Andreas Schepky, et al.. (2024). Effect of vehicle on the in vitro penetration and metabolism of genistein and daidzein in ex vivo skin explants and the Phenion full‐thickness skin model. Journal of Applied Toxicology. 45(2). 210–221. 1 indexed citations
4.
Kirchmair, Johannes, Andreas Schepky, Jochen Kühnl, et al.. (2024). Increasing Accessibility of Bayesian Network-Based Defined Approaches for Skin Sensitisation Potency Assessment. Toxics. 12(9). 666–666. 1 indexed citations
5.
6.
Maschmeyer, Ilka, Edward L. LeCluyse, Camille Géniès, et al.. (2023). Development of a microphysiological skin-liver-thyroid Chip3 model and its application to evaluate the effects on thyroid hormones of topically applied cosmetic ingredients under consumer-relevant conditions. Frontiers in Pharmacology. 14. 1076254–1076254. 15 indexed citations
7.
8.
Hoffmann, Sebastian, Nathalie Alépée, N. Gilmour, et al.. (2022). Expansion of the Cosmetics Europe skin sensitisation database with new substances and PPRA data. Regulatory Toxicology and Pharmacology. 131. 105169–105169. 16 indexed citations
9.
10.
Norinder, Ulf, et al.. (2020). Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules. Chemical Research in Toxicology. 34(2). 330–344. 14 indexed citations
11.
Kühnl, Jochen, Ursula Müller‐Vieira, Camille Géniès, et al.. (2020). Characterization of application scenario-dependent pharmacokinetics and pharmacodynamic properties of permethrin and hyperforin in a dynamic skin and liver multi-organ-chip model. Toxicology. 448. 152637–152637. 42 indexed citations
12.
Gilmour, N., Petra Kern, Nathalie Alépée, et al.. (2020). Development of a next generation risk assessment framework for the evaluation of skin sensitisation of cosmetic ingredients. Regulatory Toxicology and Pharmacology. 116. 104721–104721. 64 indexed citations
13.
Stork, Conrad, et al.. (2019). Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability. International Journal of Molecular Sciences. 20(19). 4833–4833. 19 indexed citations
14.
Alépée, Nathalie, Takao Ashikaga, Magalie Cluzel, et al.. (2016). On the road to animal-free skin sensitisation risk assessment: Cosmetics Europe's assessment of testing strategies. Toxicology Letters. 258. S208–S209. 1 indexed citations
15.
Johansson, Henrik, et al.. (2014). Genomic Allergen Rapid Detection In-House Validation—A Proof of Concept. Toxicological Sciences. 139(2). 362–370. 29 indexed citations
16.
Kühnl, Jochen, Dennis Roggenkamp, Franz Stäb, et al.. (2014). Licochalcone A activates Nrf2 in vitro and contributes to licorice extract‐induced lowered cutaneous oxidative stress in vivo. Experimental Dermatology. 24(1). 42–47. 45 indexed citations
17.
Kühnl, Jochen, Agatha Schwarz, Franz Stäb, et al.. (2013). Role of fibroblasts in the pathogenesis of atopic dermatitis. Journal of Allergy and Clinical Immunology. 131(6). 1547–1554.e6. 66 indexed citations
18.
Roggenkamp, Dennis, Jochen Kühnl, Franz Stäb, et al.. (2013). Oxytocin modulates proliferation and stress responses of human skin cells: implications for atopic dermatitis. Experimental Dermatology. 22(6). 399–405. 73 indexed citations
19.
Balkow, Sandra, et al.. (2006). SWAP-70 associates transiently with macropinosomes. European Journal of Cell Biology. 86(1). 13–24. 20 indexed citations
20.
Kühnl, Jochen, Thomas A. Bobik, James B Procter, et al.. (2005). Functional analysis of the methylmalonyl‐CoA epimerase from Caenorhabditis elegans. FEBS Journal. 272(6). 1465–1477. 22 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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