Michael Mayersohn

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

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
    • Antibiotics Pharmacokinetics and Efficacy
    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems

Papers in

Michael Mayersohn

159 papers receiving 3.5k citations

Peers

Michael Mayersohn
Comparison fields: 5 of 155
  • Pharmacology 643
  • Pharmaceutical Science 432
  • Toxicology 115
  • Pharmacology 542
  • Analytical Chemistry 291
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Aziz Karim United States
C. H. Gleiter Germany
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Allen J. Sedman United States
Peter G. Welling United States
Thomas N. Tozer United States
Roger K. Verbeeck Belgium
Edward R. Garrett United States
Harold Boxenbaum United States
Eugene M. Sorkin United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982264
2 1966128
3 2007111
4 2005104
5 1977103
6 199998
7 198397
8 197493
9 196685
10 200671
11 200368
12 198265
13 200464
14 197961
15 197854
16 197254
17 197452
18 198852
19 199550
20 199048

About Michael Mayersohn

Michael Mayersohn is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Pediatrics, Perinatology and Child Health and Spectroscopy, 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 (643 citations), Pharmaceutical Science (432 citations), Toxicology (115 citations), Pharmacology (542 citations) and Analytical Chemistry (291 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, Ramanuj Achari and Yvonne Pak. Their work appears in journals such as Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, The Journal of Clinical Pharmacology and Clinical Pharmacology & Therapeutics.

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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