Ingrid Gerner

30 papers receiving 1.2k citations

Peers

Ingrid Gerner
Comparison fields: 5 of 76
  • Small Animals 672
  • Chemical Health and Safety 35
  • Dermatology 361
  • Pharmaceutical Science 112
  • Computational Theory and Mathematics 250
Replace Susanne Noreen Kolle with:
Susanne Noreen Kolle Germany
Hitoshi Sakaguchi Japan
David A. Basketter United Kingdom
David Basketter United Kingdom
Julia Scheel Germany
Pauline M. McNamee United Kingdom
Takao Ashikaga Japan
D.M. Bagley United States
Uwe Pfannenbecker Germany
Clive S. Roper United Kingdom
Ingrid Gerner relative to Susanne Noreen Kolle Germany Susanne Noreen Kolle's profile →
Citations per field
00.5×2×2.9×
Susanne Noreen Kolle · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007192
2 2004177
3 199088
4 199382
5 199169
6 199669
7 200564
8 200362
9 199858
10
Optimisation of the EpiDerm test protocol for the upcoming ECVAM validation study on in vitro skin irritation tests.
200449
11 200545
12 200544
13 200543
14 200743
15 200435
16 200432
17 200031
18 200231
19 199530
20
Validation project of alternatives for the Draize eye test.
198921

About Ingrid Gerner

Ingrid Gerner is a scholar working on Small Animals, Dermatology, Computational Theory and Mathematics, Cancer Research and Chemical Health and Safety, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal testing and alternatives (22 papers), Contact Dermatitis and Allergies (16 papers), Computational Drug Discovery Methods (9 papers), Carcinogens and Genotoxicity Assessment (2 papers), Agricultural safety and regulations (1 paper), Machine Learning in Materials Science (1 paper), Data Mining and Machine Learning Applications (1 paper) and History and advancements in chemistry (1 paper). The work is most often cited by research in Small Animals (672 citations), Chemical Health and Safety (35 citations), Dermatology (361 citations), Pharmaceutical Science (112 citations) and Computational Theory and Mathematics (250 citations). Ingrid Gerner has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Horst Spielmann, Manfred Liebsch, Eva Schlede, Sabine Kalweit, Etje Hulzebos, John D. Walker, Richard W. Vogel, Ursula Gundert‐Remy, Agnes Schulte and Martin D. Barratt. Their work appears in journals such as Alternatives to Laboratory Animals, Toxicology in Vitro, Regulatory Toxicology and Pharmacology, Toxicology and Food and Chemical 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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