K. Deckardt

628 citations
23 papers · 454 indexed · h-index 14

Impact in

Papers in

    • Carcinogens and Genotoxicity Assessment 10
    • Pharmacogenetics and Drug Metabolism 4
    • Drug-Induced Hepatotoxicity and Protection 4

K. Deckardt

23 papers receiving 418 citations

Peers

K. Deckardt
Comparison fields: 5 of 112
  • Chemical Health and Safety 9
  • Health, Toxicology and Mutagenesis 108
  • Biochemistry 41
  • Small Animals 45
  • Biochemistry 38
Replace Kuniaki Tayama with:
Kuniaki Tayama Japan
C. J. Terhaar United States
Adriano Caldeira-de-Araújo Brazil
J. Daniel Heck United States
K. Tutikawa Japan
Christine Götz Germany
Eugene J. Olajos United States
G. Stropp Germany
Lada Živković Serbia
Robert P. Felton United States
K. Deckardt relative to Kuniaki Tayama Japan Kuniaki Tayama's profile →
Citations per field
00.5×2.6×
Kuniaki Tayama · 1×
Citations per year

Countries citing papers authored by K. Deckardt

Since Specialization
Citations

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

Fields of papers citing papers by K. Deckardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200753
2 200246
3 197639
4 200335
5 199733
6 200529
7 200226
8 200420
9 200617
10 199716
11 199816
12 197516
13 199314
14 200114
15 199713
16 200413
17 197813
18 200510
19 20049
20 19979

About K. Deckardt

K. Deckardt is a scholar working on Cancer Research, Pharmacology, Molecular Biology, Public Health, Environmental and Occupational Health and Spectroscopy, having authored 23 papers that have together received 454 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (10 papers), Pharmacogenetics and Drug Metabolism (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Analytical Chemistry and Chromatography (3 papers), Statistical Methods in Clinical Trials (3 papers), Metabolism and Genetic Disorders (2 papers), Pesticide Exposure and Toxicity (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Chemical Health and Safety (9 citations), Health, Toxicology and Mutagenesis (108 citations), Biochemistry (41 citations), Small Animals (45 citations) and Biochemistry (38 citations). K. Deckardt has collaborated with scholars based in Germany and United States. Frequent co-authors include W. Mellert, Bennard van Ravenzwaay, Nikolaus Seiler, Karin Küttler, Stefan Schulte, Henk Tennekes, Wolfgang Kaufmann, H.-J. Klimisch, Ingrid T. Weber and J. Hellwig. Their work appears in journals such as Food and Chemical Toxicology, Human & Experimental Toxicology, Drug and Chemical Toxicology, Regulatory Toxicology and Pharmacology and Neurochemical Research.

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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