Michael Mayersohn

5.1k citations
160 papers · 3.8k indexed · h-index 34

Michael Mayersohn

159 papers receiving 3.5k citations

Peers

Michael Mayersohn
Comparison fields: 5 of 156
  • Pharmacology 692
  • Pharmaceutical Science 443
  • Toxicology 125
  • Pharmacology 579
  • Analytical Chemistry 305
Replace C. H. Gleiter with:
C. H. Gleiter Germany
Aziz Karim United States
Avraham Yacobi United States
Eugene M. Sorkin United States
Roger K. Verbeeck Belgium
Kamal K. Midha Canada
Thomas N. Tozer United States
Peter G. Welling United States
Hye Suk Lee South Korea
Harold Boxenbaum United States
Michael Mayersohn relative to C. H. Gleiter Germany C. H. Gleiter's profile →
Citations per field
00.5×1.5×2.0×
C. H. Gleiter · 1×
Citations per year

Countries citing papers authored by Michael Mayersohn

Since Specialization
Citations

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

Fields of papers citing papers by Michael Mayersohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 200526
3 200422
4 200369
5 19995
6 199920
7 199818
8 19981
9 19975
10 19969
11 19964
12 199550
13 199515
14 19946
15 199223
16
Effect of food intake on the relative bioavailability of moclobemide (Ro 11-1163).
198810
17 198744
18
Lack of influence of caffeine and aspirin on lithium elimination
19826
19
Thiopental kinetics in obese surgical patients
19812
20
Kinetics of pharmacologic response to cocaine.
197811

About Michael Mayersohn

Michael Mayersohn is a scholar working on Pharmacology, Toxicology and Pharmaceutical Science, having authored 160 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (27 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers), Analytical Chemistry and Chromatography (18 papers), Drug Transport and Resistance Mechanisms (17 papers), Analytical Methods in Pharmaceuticals (17 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Pharmaceutical studies and practices (11 papers) and Drug Solubulity and Delivery Systems (10 papers). The work is most often cited by research in Pharmacology (692 citations), Pharmaceutical Science (443 citations) and Toxicology (125 citations). Michael Mayersohn has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Donald Perrier, Huadong Tang, Milo Gibaldi, John Cobby, Arturo Lopez‐Anaya, S. Michael Owens, D.G. Perrier, Tarundeep Kakkar, Yvonne Pak and Ramanuj Achari. Their work appears in journals such as Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Clinical Pharmacology & Therapeutics and The Journal of Clinical 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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2026