Tyler J. McCray
About
In The Last Decade
Tyler J. McCray
5 papers receiving 272 citations
Peers
Comparison fields: 5 of 48
- Neurology 170
- Physiology 117
- Immunology 80
- Biophysics 62
- Molecular Biology 44
Countries citing papers authored by Tyler J. McCray
This map shows the geographic impact of Tyler J. 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 Tyler J. McCray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler J. McCray more than expected).
Fields of papers citing papers by Tyler J. McCray
This network shows the impact of papers produced by Tyler J. 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 Tyler J. McCray. The network helps show where Tyler J. McCray may publish in the future.
Co-authorship network of co-authors of Tyler J. McCray
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler J. McCray. A scholar is included among the top collaborators of Tyler J. 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 Tyler J. McCray. Tyler J. 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 | 5 | |
| 2 | 1 | |
| 3 | Active PSF shaping and adaptive optics enable volumetric localization microscopy through brain sections | 1 |
| 4 | 67 | |
| 5 | 205 |
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.