Gaynor Sharp
Impact in
- Cell Biology top 5%
- Skin and Cellular Biology Research
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- ATP Synthase and ATPases Research 2
- Metabolism, Diabetes, and Cancer 1
-
- Microtubule and mitosis dynamics 4
- Co-authors
- Klaus Weber (3 shared papers)Gerry Shaw (1 shared paper)Mary Osborn (2 shared papers)T. J. Peters (4 shared papers)D.P.E. Dickson (1 shared paper)John F. Gibson (1 shared paper)Susan Bell (1 shared paper)Malcolm Weir (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Experimental Cell Research (2 papers)Journal of Clinical Pathology (1 paper)Cell Biochemistry and Function (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Gaynor Sharp
14 papers receiving 477 citations
Peers
Comparison fields: 5 of 92
- Cell Biology 225
- Hematology 85
- Developmental Neuroscience 19
- Immunology and Allergy 27
- Genetics 42
Countries citing papers authored by Gaynor Sharp
This map shows the geographic impact of Gaynor 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 Gaynor Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaynor Sharp more than expected).
Fields of papers citing papers by Gaynor Sharp
This network shows the impact of papers produced by Gaynor 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 Gaynor Sharp. The network helps show where Gaynor Sharp may publish in the future.
Co-authors
The 14 scholars most cited alongside Gaynor Sharp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 153 | |
| 2 | 1984 | 127 | |
| 3 | 1982 | 108 | |
| 4 | 1981 | 37 | |
| 5 | 1985 | 24 | |
| 6 | 1985 | 17 | |
| 7 | 1979 | 10 | |
| 8 | 1984 | 9 | |
| 9 | 1978 | 8 | |
| 10 | 1980 | 8 | |
| 11 | 1983 | 5 | |
| 12 | 1988 | 4 | |
| 13 | 1987 | 3 | |
| 14 | 1980 | 1 |
About Gaynor Sharp
Gaynor Sharp is a scholar working on Molecular Biology, Cell Biology, Surgery, Cellular and Molecular Neuroscience and Genetics, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Pancreatitis Pathology and Treatment (2 papers), ATP Synthase and ATPases Research (2 papers), Metabolism and Genetic Disorders (1 paper), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Iron Metabolism and Disorders (1 paper). The work is most often cited by research in Cell Biology (225 citations), Hematology (85 citations), Developmental Neuroscience (19 citations), Immunology and Allergy (27 citations) and Genetics (42 citations). Gaynor Sharp has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Klaus Weber, Gerry Shaw, Mary Osborn, T. J. Peters, D.P.E. Dickson, John F. Gibson, Susan Bell, Malcolm Weir, Timothy J. Peters and G.A. Kerkut. Their work appears in journals such as Journal of Cell Science, Experimental Cell Research, Journal of Clinical Pathology, Cell Biochemistry and Function and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.