Sheila Sharp

1.2k citations
30 papers · 1.1k · h-index 17

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 12
    • Ion channel regulation and function 3
    • Chemical Synthesis and Analysis 3
    • Steroid Chemistry and Biochemistry 3

Sheila Sharp

30 papers receiving 992 citations

Peers

Sheila Sharp
Comparison fields: 5 of 95
  • Pharmacology 199
  • Endocrinology, Diabetes and Metabolism 147
  • Molecular Biology 570
  • Insect Science 100
  • Genetics 211
Replace Hwei‐Ming Peng with:
Hwei‐Ming Peng United States
Makoto Onoda Japan
J M Fisher United States
Iwao Nakatsuka Japan
Bruce Wisely United States
Jeffrey M. Voigt United States
Fumio Chatani Japan
Ayako Harada Japan
Kayo Sumida Japan
William J. Driscoll United States
Sheila Sharp relative to Hwei‐Ming Peng United States Hwei‐Ming Peng's profile →
Citations per field
00.5×2×3.4×
Hwei‐Ming Peng · 1×
Citations per year

Countries citing papers authored by Sheila Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Sheila Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998188
2 1991108
3 201583
4 199280
5 199977
6 200958
7 199356
8 198344
9 199437
10 199635
11 199932
12 199030
13 199029
14 201127
15 199122
16 199419
17 199819
18 199917
19 201217
20 199616

About Sheila Sharp

Sheila Sharp is a scholar working on Pharmacology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis and Pharmaceutical Science, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Analytical Chemistry and Chromatography (3 papers), Estrogen and related hormone effects (3 papers), Ion channel regulation and function (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (3 papers), Steroid Chemistry and Biochemistry (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Pharmacology (199 citations), Endocrinology, Diabetes and Metabolism (147 citations), Molecular Biology (570 citations), Insect Science (100 citations) and Genetics (211 citations). Sheila Sharp has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Michael W.H. Coughtrie, Jonathan B. Cohen, Wensheng Liu, Nicola Innes, Steen E. Pedersen, Robert Hume, Anthony Kulczycki, Emma Barker, Lewis J. Cohen and Janine J. G. Arts. Their work appears in journals such as Biochemical Pharmacology, Chemico-Biological Interactions, Journal of Biological Chemistry, The FASEB Journal and Journal of Chromatography A.

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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