Ralph S. Mazenko

678 citations
16 papers · 548 · h-index 13

Impact in

    • Escherichia coli research studies
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects
    • Pharmacogenetics and Drug Metabolism

Papers in

    • Inflammatory mediators and NSAID effects 7
    • Pharmacogenetics and Drug Metabolism 4
    • Advanced biosensing and bioanalysis techniques 3

Ralph S. Mazenko

16 papers receiving 512 citations

Peers

Ralph S. Mazenko
Comparison fields: 5 of 78
  • Endocrinology 43
  • Pharmacology 132
  • Pharmacology 69
  • Biomedical Engineering 204
  • Electrochemistry 27
Replace Carolina Colliva with:
Carolina Colliva Italy
H. Yoshida Japan
M. Petsch Austria
Yasumasa Kido Japan
Kenneth E. Rubenstein United States
D. E. Schwartz Switzerland
Phongthon Kanjanasirirat Thailand
J. J. Aramayona Spain
Haonan Wang China
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Citations per field
00.5×7.2×
Carolina Colliva · 1×
Citations per year

Countries citing papers authored by Ralph S. Mazenko

Since Specialization
Citations

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

Fields of papers citing papers by Ralph S. Mazenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph S. Mazenko. 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 Ralph S. Mazenko. The network helps show where Ralph S. Mazenko may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1996103
2 199673
3 200470
4 199854
5 200238
6 200238
7 200332
8 200231
9 199925
10 200321
11 200419
12 201719
13 201417
14 19973
15 20013
16 20032

About Ralph S. Mazenko

Ralph S. Mazenko is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Analytical Chemistry and Biomedical Engineering, having authored 16 papers that have together received 548 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Pharmacogenetics and Drug Metabolism (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Analytical Chemistry and Chromatography (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Endocrinology (43 citations), Pharmacology (132 citations), Pharmacology (69 citations), Biomedical Engineering (204 citations) and Electrochemistry (27 citations). Ralph S. Mazenko has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Jeffrey D. Brewster, Andrew Gehring, C. Gerald Crawford, Eric Woolf, Nancy Agrawal, C. Crawford, B.K. Matuszewski, Aditi Sapre, Kerstin Malmström and James R. Fricke. Their work appears in journals such as The Journal of Clinical Pharmacology, Journal of Immunological Methods, Clinical Neuropharmacology, Journal of Microbiological Methods and Journal of Pharmaceutical and Biomedical Analysis.

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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