Ingrid Gerner

29 papers receiving 861 citations

Peers

Ingrid Gerner
Comparison fields: 5 of 104
  • Small Animals 454
  • Chemical Health and Safety 40
  • Dermatology 135
  • Pharmaceutical Science 90
  • Computational Theory and Mathematics 227
Replace Valérie Zuang with:
Valérie Zuang Italy
U. Pfannenbecker Germany
Martina Klarić Belgium
Silvia Casati Italy
Hajime Kojima Japan
Pauline McNamee United Kingdom
S. Kalweit Germany
L.K. Earl United Kingdom
David Basketter United Kingdom
Hitoshi Sakaguchi Japan
Ingrid Gerner relative to Valérie Zuang Italy Valérie Zuang's profile →
Citations per field
00.5×3.1×
Valérie Zuang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ingrid Gerner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ingrid Gerner Line = papers co-authored together Ingrid Gerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 199082
3 199373
4 199158
5 200355
6 200554
7 199850
8
Optimisation of the EpiDerm test protocol for the upcoming ECVAM validation study on in vitro skin irritation tests.
200442
9 200740
10 200539
11 200536
12 200533
13 200229
14 200429
15 199527
16 200427
17 200022
18
Validation project of alternatives for the Draize eye test.
198917
19 199716
20 200214

About Ingrid Gerner

Ingrid Gerner is a scholar working on Small Animals, Dermatology, Computational Theory and Mathematics, Pharmaceutical Science and Health, Toxicology and Mutagenesis, having authored 29 papers that have together received 963 indexed citations. Recurring topics across this work include Animal testing and alternatives (22 papers), Contact Dermatitis and Allergies (9 papers), Computational Drug Discovery Methods (7 papers), Advancements in Transdermal Drug Delivery (4 papers), Agricultural safety and regulations (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Chemistry and Chemical Engineering (3 papers). The work is most often cited by research in Small Animals (454 citations), Chemical Health and Safety (40 citations), Dermatology (135 citations), Pharmaceutical Science (90 citations) and Computational Theory and Mathematics (227 citations). Ingrid Gerner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Horst Spielmann, Manfred Liebsch, Eva Schlede, S. Kalweit, Etje Hulzebos, John D. Walker, Ursula Gundert‐Remy, Agnes Schulte, Richard Vogel and Martin D. Barratt. Their work appears in journals such as Alternatives to Laboratory Animals, Toxicology in Vitro, SAR and QSAR in environmental research, Food and Chemical Toxicology and Toxicology.

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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