Jon Tinsley
About
In The Last Decade
Jon Tinsley
11 papers receiving 520 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 399
- Organic Chemistry 254
- Physiology 111
- Cellular and Molecular Neuroscience 58
- Cell Biology 48
Countries citing papers authored by Jon Tinsley
This map shows the geographic impact of Jon Tinsley'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 Jon Tinsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Tinsley more than expected).
Fields of papers citing papers by Jon Tinsley
This network shows the impact of papers produced by Jon Tinsley. 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 Jon Tinsley. The network helps show where Jon Tinsley may publish in the future.
Co-authorship network of co-authors of Jon Tinsley
This figure shows the co-authorship network connecting the top 25 collaborators of Jon Tinsley. A scholar is included among the top collaborators of Jon Tinsley 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 Jon Tinsley. Jon Tinsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 44 | |
| 3 | 67 | |
| 4 | 42 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 32 | |
| 8 | 28 | |
| 9 | 279 | |
| 10 | 22 | |
| 11 | 7 |
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.