Michael Schäffer

34 papers receiving 537 citations

Peers

Michael Schäffer
Comparison fields: 5 of 82
  • Toxicology 387
  • Pathology and Forensic Medicine 120
  • Emergency Medicine 58
  • Anesthesiology and Pain Medicine 29
  • Endocrinology, Diabetes and Metabolism 84
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Małgorzata Kłys Poland
David Yousefnejad United States
Eric S. Lavins United States
David L. Black United States
Laureen J. Marinetti United States
Karen S. Scott United States
Lolita Tsanaclis United Kingdom
Matteo Moretti Italy
Hilke Andresen Germany
Wonkyung Yang South Korea
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Citations per year

Countries citing papers authored by Michael Schäffer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schäffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200492
2 201470
3 200451
4 200550
5 200245
6 201435
7 200435
8 200734
9 198226
10 201425
11 198517
12 201317
13 201617
14 201617
15 198613
16 198011
17 201910
18
The general toxicology unknown. I. The systematic approach.
198310
19 19849
20 19838

About Michael Schäffer

Michael Schäffer is a scholar working on Toxicology, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 638 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (21 papers), Alcohol Consumption and Health Effects (5 papers), Poisoning and overdose treatments (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Hormonal and reproductive studies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Psychedelics and Drug Studies (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Toxicology (387 citations), Pathology and Forensic Medicine (120 citations), Emergency Medicine (58 citations), Anesthesiology and Pain Medicine (29 citations) and Endocrinology, Diabetes and Metabolism (84 citations). Michael Schäffer has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Virginia Hill, Thomas Cairns, John Irving, Wenlong Wang, Robert J. Stein, G. Neil Stowe, Ning Chen, Jonathan R. Sommer, Charl Els and James B. Talmage. Their work appears in journals such as Journal of Analytical Toxicology, Journal of Forensic Sciences, Forensic Science International, Drug Testing and Analysis and Journal of Occupational and Environmental Medicine.

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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