Eva Schlede

34 papers receiving 523 citations

Peers

Eva Schlede
Comparison fields: 5 of 77
  • Small Animals 162
  • Chemical Health and Safety 11
  • Dermatology 112
  • Pharmacology 123
  • Computational Theory and Mathematics 80
Replace John A. Troutman with:
John A. Troutman United States
Irene Manou Belgium
Ruth U. Pendlington United Kingdom
Detlev Kayser Germany
D. M. Sanderson United States
Myriam Coulet Switzerland
Cornelia M. Smith United States
Betsy D. Carlton United States
Muriel Totis France
Stephanie D. Turner United States
Eva Schlede relative to John A. Troutman United States John A. Troutman's profile →
Citations per field
00.5×2×2.8×
John A. Troutman · 1×
Citations per year

Countries citing papers authored by Eva Schlede

Since Specialization
Citations

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

Fields of papers citing papers by Eva Schlede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Schlede, 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 Eva Schlede Line = papers co-authored together Eva Schlede links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200362
2 199250
3 200546
4 199538
5
Effect of enzyme induction on the metabolism and tissue distribution of benzo(alpha)pyrene.
197032
6 200432
7 200031
8 200231
9 197228
10 199527
11
Acute Toxic Class Methods: Alternatives to LD/LC50 Tests.
199925
12 199524
13 197422
14 197021
15
Stimulatory effect of benzo(alpha)pyrene and phenobarbital pretreatment on the biliary excretion of benzo(alpha)pyrene metabolites in the rat.
197020
16 200020
17 199717
18 200213
19 200312
20 198210

About Eva Schlede

Eva Schlede is a scholar working on Small Animals, Dermatology, Pharmacology, Health, Toxicology and Mutagenesis and Toxicology, having authored 34 papers that have together received 632 indexed citations. Recurring topics across this work include Animal testing and alternatives (15 papers), Contact Dermatitis and Allergies (10 papers), Pharmacogenetics and Drug Metabolism (10 papers), Toxic Organic Pollutants Impact (3 papers), Computational Drug Discovery Methods (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), Agricultural safety and regulations (2 papers) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Small Animals (162 citations), Chemical Health and Safety (11 citations), Dermatology (112 citations), Pharmacology (123 citations) and Computational Theory and Mathematics (80 citations). Eva Schlede has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Detlev Kayser, Ingrid Gerner, Allan H. Conney, H. J. Merker, Gisela D. Stropp, Ronald G. Kuntzman, R. Roll, Elke Genschow, Horst Spielmann and Th. Maurer. Their work appears in journals such as Archives of Toxicology, Alternatives to Laboratory Animals, Naunyn-Schmiedeberg s Archives of Pharmacology, Toxicology Letters and Life Sciences.

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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