S. Vickers

31 papers receiving 848 citations

Peers

S. Vickers
Comparison fields: 5 of 97
  • Pharmacology 227
  • Biotechnology 96
  • Computational Theory and Mathematics 164
  • Clinical Biochemistry 60
  • Surgery 282
Replace C A Duncan with:
C A Duncan United States
Jamie J. Zhao United States
Shimoga R. Prakash United States
Bennett Ma United States
David Hicks United States
M. Galli Kienle Italy
Ulf Bredberg Sweden
David D. Christ United States
Ingelore Hackbarth Germany
Miroslav Dostálek United States
S. Vickers relative to C A Duncan United States C A Duncan's profile →
Citations per field
00.5×
C A Duncan · 1×
Citations per year

Countries citing papers authored by S. Vickers

Since Specialization
Citations

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

Fields of papers citing papers by S. Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990217
2 1990136
3 1989102
4 199062
5 199847
6 200041
7
Metabolism of carbidopa (1-(-)-alpha-hydrazino-3,4-dihydroxy-alpha-methylhydrocinnamic acid monohydrate), an aromatic amino acid decarboxylase inhibitor, in the rat, rhesus monkey, and man.
197440
8 198536
9 199433
10 199932
11 197526
12 197821
13 199120
14 197416
15 197410
16 19939
17 20069
18 20079
19 19659
20 19738

About S. Vickers

S. Vickers is a scholar working on Pharmacology, Organic Chemistry, Surgery, Molecular Biology and Biochemistry, having authored 31 papers that have together received 919 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Lipoproteins and Cardiovascular Health (5 papers), Metabolism and Genetic Disorders (4 papers), Cancer, Lipids, and Metabolism (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Pharmacology (227 citations), Biotechnology (96 citations), Computational Theory and Mathematics (164 citations), Clinical Biochemistry (60 citations) and Surgery (282 citations). S. Vickers has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include D E Duggan, C A Duncan, Avery Rosegay, Byron H. Arison, Harri G. Ramjit, Kamlesh P. Vyas, Michael S. Schwartz, P H Kari, Steven M. Pitzenberger and R.J. Stubbs. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Analytical Chemistry and Current Drug Metabolism.

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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