Ingrid Gerner

1.6k total citations
29 papers, 963 citations indexed

About

Ingrid Gerner is a scholar working on Small Animals, Dermatology and Computational Theory and Mathematics. According to data from OpenAlex, Ingrid Gerner has authored 29 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Small Animals, 9 papers in Dermatology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Ingrid Gerner's work include Animal testing and alternatives (22 papers), Contact Dermatitis and Allergies (9 papers) and Computational Drug Discovery Methods (7 papers). Ingrid Gerner is often cited by papers focused on Animal testing and alternatives (22 papers), Contact Dermatitis and Allergies (9 papers) and Computational Drug Discovery Methods (7 papers). Ingrid Gerner collaborates with scholars based in Germany, United States and United Kingdom. Ingrid Gerner's co-authors include Horst Spielmann, Manfred Liebsch, Eva Schlede, S. Kalweit, Etje Hulzebos, John D. Walker, Ursula Gundert‐Remy, Richard Vogel, Agnes Schulte and Martin D. Barratt and has published in prestigious journals such as Food and Chemical Toxicology, Toxicology and Toxicology Letters.

In The Last Decade

Ingrid Gerner

29 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Gerner Germany 18 454 227 194 136 135 29 963
Valérie Zuang Italy 17 516 1.1× 131 0.6× 237 1.2× 144 1.1× 230 1.7× 29 1.0k
U. Pfannenbecker Germany 15 547 1.2× 119 0.5× 79 0.4× 141 1.0× 97 0.7× 20 773
Hajime Kojima Japan 17 344 0.8× 84 0.4× 200 1.0× 180 1.3× 237 1.8× 78 966
Silvia Casati Italy 21 543 1.2× 126 0.6× 275 1.4× 164 1.2× 581 4.3× 48 1.3k
L.K. Earl United Kingdom 14 298 0.7× 70 0.3× 129 0.7× 68 0.5× 70 0.5× 31 583
David Basketter United Kingdom 15 280 0.6× 76 0.3× 115 0.6× 82 0.6× 398 2.9× 28 733
Martina Klarić Belgium 17 318 0.7× 122 0.5× 201 1.0× 63 0.5× 296 2.2× 31 800
Pauline McNamee United Kingdom 17 524 1.2× 84 0.4× 108 0.6× 52 0.4× 489 3.6× 30 1.0k
David J. Esdaile United Kingdom 12 230 0.5× 52 0.2× 79 0.4× 134 1.0× 84 0.6× 24 591
Frank Gerberick United States 15 601 1.3× 154 0.7× 170 0.9× 118 0.9× 1.0k 7.7× 21 1.4k

Countries citing papers authored by Ingrid Gerner

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Gerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Gerner

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Gerner. A scholar is included among the top collaborators of Ingrid Gerner 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 Ingrid Gerner. Ingrid Gerner 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.
Hulzebos, Etje & Ingrid Gerner. (2010). Weight factors in an Integrated Testing Strategy using adjusted OECD principles for (Q)SARs and extended Klimisch codes to decide on skin irritation classification. Regulatory Toxicology and Pharmacology. 58(1). 131–144. 5 indexed citations
2.
Eskes, Chantra, Thomas Cole, Sebastian Hoffmann, et al.. (2007). The ECVAM International Validation Study on In Vitro Tests for Acute Skin Irritation: Selection of Test Chemicals. Alternatives to Laboratory Animals. 35(6). 603–619. 40 indexed citations
3.
Kanďárová, Helena, Manfred Liebsch, Ingrid Gerner, et al.. (2005). The EpiDerm Test Protocol for the Upcoming ECVAM Validation Study on In Vitro Skin Irritation Tests — An Assessment of the Performance of the Optimised Test. Alternatives to Laboratory Animals. 33(4). 351–367. 54 indexed citations
4.
Hulzebos, Etje, et al.. (2005). Use of structural alerts to develop rules for identifying chemical substances with skin irritation or skin corrosion potential. QSAR & Combinatorial Science. 24(3). 332–342. 36 indexed citations
5.
Walker, John D., et al.. (2005). The Skin Irritation Corrosion Rules Estimation Tool (SICRET). QSAR & Combinatorial Science. 24(3). 378–384. 33 indexed citations
6.
7.
Schlede, Eva, Werner Aberer, T. Fuchs, et al.. (2004). Chemical Substances and Contact Allergy‐244 Substances Ranked According to Allergenic Potency. ChemInform. 35(18). 1 indexed citations
8.
Kanďárová, Helena, Manfred Liebsch, Elke Genschow, et al.. (2004). Optimisation of the EpiDerm test protocol for the upcoming ECVAM validation study on in vitro skin irritation tests.. PubMed. 21(3). 107–14. 42 indexed citations
9.
Gerner, Ingrid, Ursula Gundert‐Remy, Manfred Liebsch, et al.. (2004). Animal testing and alternative approaches for the human health risk assessment under the proposed new European chemicals regulation. Archives of Toxicology. 78(10). 549–564. 160 indexed citations
10.
Schlede, Eva, Werner Aberer, T. Fuchs, et al.. (2003). Chemical substances and contact allergy—244 substances ranked according to allergenic potency. Toxicology. 193(3). 219–259. 55 indexed citations
11.
12.
Gerner, Ingrid & Eva Schlede. (2002). Introduction of in vitro data into local irritation/corrosion testing strategies by means of SAR considerations: assessment of chemicals. Toxicology Letters. 127(1-3). 169–175. 14 indexed citations
13.
14.
Gerner, Ingrid, et al.. (2000). Local Irritation/Corrosion Testing Strategies: Extending a Decision Support System by Applying Self-Learning Classifiers. Alternatives to Laboratory Animals. 28(5). 651–663. 3 indexed citations
15.
Gerner, Ingrid, et al.. (2000). Local Irritation/Corrosion Testing Strategies: Development of a Decision Support System for the Introduction of Alternative Methods. Alternatives to Laboratory Animals. 28(1). 29–40. 8 indexed citations
16.
Barratt, Martin D., Paul Brantom, Julia H. Fentem, et al.. (1998). The ECVAM International Validation Study on In Vitro Tests for Skin Corrosivity. 1. Selection and Distribution of the Test Chemicals. Toxicology in Vitro. 12(4). 471–482. 50 indexed citations
17.
Silva, O. de, M. Cottin, R. Roguet, et al.. (1997). Evaluation of eye irritation potential: statistical analysis and tier testing strategies. Food and Chemical Toxicology. 35(1). 159–164. 16 indexed citations
18.
Barratt, Martin D., José V. Castell, M. Chamberlain, et al.. (1995). The Integrated Use of Alternative Approaches for Predicting Toxic Hazard. Alternatives to Laboratory Animals. 23(3). 410–429. 27 indexed citations
19.
Spielmann, Horst, S. Kalweit, Manfred Liebsch, et al.. (1993). Validation study of alternatives to the Draize eye irritation test in Germany: Cytotoxicity testing and HET-CAM test with 136 industrial chemicals. Toxicology in Vitro. 7(4). 505–510. 73 indexed citations
20.
Spielmann, Horst, Ingrid Gerner, S. Kalweit, et al.. (1991). Interlaboratory assessment of alternatives to the Draize eye irritation test in Germany. Toxicology in Vitro. 5(5-6). 539–542. 58 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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