Sherryl A. Taylor
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Neurology top 10%
- Genetics
- Hematology top 10%
- Co-authors
- David LillicrapMarcy E. MacDonaldRichard H. MyersJayalakshmi SrinidhiJames F. GusellaCarol Sze Ki LinGlenn BarnesMabel P. Duyao
- Topics
- Hemophilia Treatment and Research (9 papers)Cancer-related gene regulation (9 papers)Blood Coagulation and Thrombosis Mechanisms (8 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Sherryl A. Taylor
34 papers receiving 731 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 455
- Cellular and Molecular Neuroscience 318
- Neurology 181
- Genetics 137
- Hematology 131
Countries citing papers authored by Sherryl A. Taylor
This map shows the geographic impact of Sherryl A. Taylor'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 Sherryl A. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherryl A. Taylor more than expected).
Fields of papers citing papers by Sherryl A. Taylor
This network shows the impact of papers produced by Sherryl A. Taylor. 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 Sherryl A. Taylor. The network helps show where Sherryl A. Taylor may publish in the future.
Co-authorship network of co-authors of Sherryl A. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Sherryl A. Taylor. A scholar is included among the top collaborators of Sherryl A. Taylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sherryl A. Taylor. Sherryl A. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 25 | |
| 4 | Biomarkers measured in buccal and blood leukocyte DNA as proxies for colon tissue global methylation. | 6 |
| 5 | 1 | |
| 6 | The aero2 ( aeromaculata2) mutation in pea increases leaf flecking and complexity but, unlike aero1, does not promote flowering | 0 |
| 7 | 9 | |
| 8 | 35 | |
| 9 | 26 | |
| 10 | 21 | |
| 11 | 31 | |
| 12 | 27 | |
| 13 | 184 | |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 17 | |
| 17 | 31 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 5 |
About Sherryl A. Taylor
Sherryl A. Taylor is a scholar working on Hematology, Genetics and Molecular Biology, having authored 35 papers that have together received 768 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (9 papers), Cancer-related gene regulation (9 papers) and Blood Coagulation and Thrombosis Mechanisms (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (318 citations), Neurology (181 citations) and Hematology (131 citations). Sherryl A. Taylor has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include David Lillicrap, Marcy E. MacDonald, Richard H. Myers, Jayalakshmi Srinidhi, James F. Gusella, Carol Sze Ki Lin, Glenn Barnes, Mabel P. Duyao, Alice Lazzarini and Michael Schwarz. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Neurology.
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.