S. Vickers

32 papers receiving 874 citations

Peers

S. Vickers
Comparison fields: 5 of 102
  • Pharmacology 191
  • Biotechnology 94
  • Clinical Biochemistry 60
  • Computational Theory and Mathematics 143
  • Surgery 264
Replace Shimoga R. Prakash with:
Shimoga R. Prakash United States
Bennett Ma United States
David Hicks United States
Ulf Bredberg Sweden
Edward J. Van Loon United States
A. Buntinx United States
Arnold D. Essenburg United States
Louis G. Lange United States
Cho‐Ming Loi United States
Satoru Asahi Japan
S. Vickers relative to Shimoga R. Prakash United States Shimoga R. Prakash's profile →
Citations per field
00.5×4.1×
Shimoga R. Prakash · 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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990219
2 1990139
3 1989106
4 199064
5 199850
6 200042
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 198538
9 199933
10 199433
11 197529
12 197825
13 199120
14 197416
15 200610
16 196510
17 197410
18 19939
19 20079
20 19738

About S. Vickers

S. Vickers is a scholar working on Pharmacology, Organic Chemistry, Surgery, Molecular Biology and Oncology, having authored 33 papers that have together received 960 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), Drug Transport and Resistance Mechanisms (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers) and Analytical Methods in Pharmaceuticals (3 papers). The work is most often cited by research in Pharmacology (191 citations), Biotechnology (94 citations), Clinical Biochemistry (60 citations), Computational Theory and Mathematics (143 citations) and Surgery (264 citations). S. Vickers has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include D E Duggan, C A Duncan, Avery Rosegay, Byron H. Arison, Harri G. Ramjit, Kamlesh P. Vyas, Michael S. Schwartz, W.J.A. Vandenheuvel, H. Hücker and R.J. Stubbs. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Drug Metabolism Reviews and Biochemical and Biophysical Research Communications.

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.

Explore authors with similar magnitude of impact