G. Koss

688 citations
34 papers · 600 · h-index 12

Impact in

Papers in

G. Koss

34 papers receiving 549 citations

Peers

G. Koss
Comparison fields: 5 of 89
  • Pharmacology 133
  • Health, Toxicology and Mutagenesis 152
  • Pediatrics, Perinatology and Child Health 107
  • Cancer Research 72
  • Biochemistry 33
Replace S. Ohmori with:
S. Ohmori Japan
William T. Allaben United States
D. L. Grant Canada
William H. Bulger United States
J.T. Borlakoglu United Kingdom
Elsie Arnold United States
Iona Pratt Ireland
Hirohiko YAMADA Japan
A.A.J. van Iersel Netherlands
E.J. Calabrese United States
G. Koss relative to S. Ohmori Japan S. Ohmori's profile →
Citations per field
00.5×2.9×
S. Ohmori · 1×
Citations per year

Countries citing papers authored by G. Koss

Since Specialization
Citations

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

Fields of papers citing papers by G. Koss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside G. Koss, 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 G. Koss Line = papers co-authored together G. Koss 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 1976128
2 197859
3 197058
4 197549
5 197841
6 198134
7 198130
8 198327
9
Hexachlorobenzene porphyria in rats as a model for human chronic hepatic porphyrias.
197621
10 197817
11 197615
12 199912
13 198711
14 198610
15 199310
16
Excretion of metabolites of hexachlorobenzene in the rat and in man.
19869
17 19938
18 19918
19 19868
20
Metabolites of hexachlorobenzene in the excreta of different animal species
19788

About G. Koss

G. Koss is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Pharmacology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 600 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (9 papers), Pharmacogenetics and Drug Metabolism (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Neonatal Health and Biochemistry (5 papers), Toxic Organic Pollutants Impact (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Analytical Chemistry and Chromatography (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Pharmacology (133 citations), Health, Toxicology and Mutagenesis (152 citations), Pediatrics, Perinatology and Child Health (107 citations), Cancer Research (72 citations) and Biochemistry (33 citations). G. Koss has collaborated with scholars based in Germany, Netherlands and Czechia. Frequent co-authors include W. Koransky, K Steinbach, Andreas Seubert, S. Seubert, H Ippen, J.J.T.W.A. Strik, M Doss, Detlef Wölfle, Alfons J. M. Debets and I. Schreiber. Their work appears in journals such as Archives of Toxicology, Toxicology, Food and Chemical Toxicology, Bulletin of Environmental Contamination and Toxicology and Regulatory Toxicology and Pharmacology.

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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