Glynis McCray
About
In The Last Decade
Glynis McCray
8 papers receiving 463 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 309
- Cellular and Molecular Neuroscience 95
- Hematology 89
- Genetics 76
- Immunology 55
Countries citing papers authored by Glynis McCray
This map shows the geographic impact of Glynis McCray'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 Glynis McCray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glynis McCray more than expected).
Fields of papers citing papers by Glynis McCray
This network shows the impact of papers produced by Glynis McCray. 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 Glynis McCray. The network helps show where Glynis McCray may publish in the future.
Co-authorship network of co-authors of Glynis McCray
This figure shows the co-authorship network connecting the top 25 collaborators of Glynis McCray. A scholar is included among the top collaborators of Glynis McCray 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 Glynis McCray. Glynis McCray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 48 | |
| 3 | 31 | |
| 4 | 42 | |
| 5 | Transient production of proteins using an adenovirus transformed cell line | 116 |
| 6 | 98 | |
| 7 | 110 | |
| 8 | 31 |
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.