Daniel Urbisch

763 total citations
10 papers, 479 citations indexed

About

Daniel Urbisch is a scholar working on Dermatology, Immunology and Allergy and Physiology. According to data from OpenAlex, Daniel Urbisch has authored 10 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Dermatology, 4 papers in Immunology and Allergy and 3 papers in Physiology. Recurrent topics in Daniel Urbisch's work include Contact Dermatitis and Allergies (7 papers), Asthma and respiratory diseases (3 papers) and Food Allergy and Anaphylaxis Research (2 papers). Daniel Urbisch is often cited by papers focused on Contact Dermatitis and Allergies (7 papers), Asthma and respiratory diseases (3 papers) and Food Allergy and Anaphylaxis Research (2 papers). Daniel Urbisch collaborates with scholars based in Germany, United States and United Kingdom. Daniel Urbisch's co-authors include Susanne N. Kolle, Robert Landsiedel, Annette Mehling, Naveed Honarvar, Tzutzuy Ramı́rez, Wera Teubner, Hitoshi Sakaguchi, Andreas Natsch, Petra Kern and Frank Gerberick and has published in prestigious journals such as Chemical Research in Toxicology, Toxicology Letters and Critical Reviews in Toxicology.

In The Last Decade

Daniel Urbisch

10 papers receiving 455 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 Urbisch Germany 7 364 181 122 91 78 10 479
Zoe Wright United Kingdom 10 328 0.9× 100 0.6× 95 0.8× 75 0.8× 105 1.3× 13 409
Jean Pierre Lepoittevin France 9 418 1.1× 134 0.7× 151 1.2× 84 0.9× 139 1.8× 10 570
Silvia Martinozzi-Teissier France 5 311 0.9× 148 0.8× 112 0.9× 52 0.6× 85 1.1× 6 372
John Troutman United States 12 262 0.7× 98 0.5× 98 0.8× 71 0.8× 50 0.6× 22 453
Richard Cubberley United Kingdom 14 249 0.7× 121 0.7× 45 0.4× 80 0.9× 37 0.5× 28 503
J.‐P. Lepoittevin France 15 479 1.3× 66 0.4× 87 0.7× 96 1.1× 231 3.0× 25 630
Tina Haupt Switzerland 8 185 0.5× 71 0.4× 49 0.4× 61 0.7× 39 0.5× 10 289
Elena Giménez Arnau Denmark 10 378 1.0× 49 0.3× 82 0.7× 89 1.0× 177 2.3× 11 453
Marie Templier France 5 155 0.4× 160 0.9× 58 0.5× 38 0.4× 34 0.4× 7 311
Christiane Wiemann Germany 10 133 0.4× 100 0.6× 48 0.4× 91 1.0× 29 0.4× 28 350

Countries citing papers authored by Daniel Urbisch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Urbisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Urbisch

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

All Works

10 of 10 papers shown
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Urbisch, Daniel, Susanne N. Kolle, Naveed Honarvar, et al.. (2017). Prediction of skin sensitization potency sub-categories using peptide reactivity data. Toxicology in Vitro. 45(Pt 1). 134–145. 41 indexed citations
4.
Urbisch, Daniel, Naveed Honarvar, Susanne N. Kolle, et al.. (2016). Peptide reactivity associated with skin sensitization: The QSAR Toolbox and TIMES compared to the DPRA. Toxicology in Vitro. 34. 194–203. 26 indexed citations
5.
Urbisch, Daniel, Naveed Honarvar, Susanne N. Kolle, et al.. (2016). Assessment of pre- and pro-haptens using non-animal test methods for skin sensitization. Toxicology Letters. 258. S306–S306. 1 indexed citations
6.
Teubner, Wera, et al.. (2016). Predictivity of Vega, T.E.S.T and DART profiler for the GHS classification for developmental toxicity of industrial chemicals. Toxicology Letters. 258. S115–S116. 1 indexed citations
7.
Urbisch, Daniel, Naveed Honarvar, Susanne N. Kolle, et al.. (2016). Assessment of Pre- and Pro-haptens Using Nonanimal Test Methods for Skin Sensitization. Chemical Research in Toxicology. 29(5). 901–913. 53 indexed citations
8.
Honarvar, Naveed, Daniel Urbisch, Susanne N. Kolle, et al.. (2015). Peptide reactivity associated with skin sensitization – A comparison of the DPRA with the QSAR Toolbox and TIMES SS. Toxicology Letters. 238(2). S178–S178. 1 indexed citations
9.
Urbisch, Daniel, Annette Mehling, Katharina Guth, et al.. (2014). Assessing skin sensitization hazard in mice and men using non-animal test methods. Regulatory Toxicology and Pharmacology. 71(2). 337–351. 230 indexed citations
10.
Ramı́rez, Tzutzuy, Annette Mehling, Susanne N. Kolle, et al.. (2014). LuSens: A keratinocyte based ARE reporter gene assay for use in integrated testing strategies for skin sensitization hazard identification. Toxicology in Vitro. 28(8). 1482–1497. 94 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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