Lynne Verselis
About
In The Last Decade
Lynne Verselis
4 papers receiving 227 citations
Peers
Comparison fields: 5 of 47
- Cellular and Molecular Neuroscience 190
- Molecular Biology 123
- Genetics 34
- Ecology, Evolution, Behavior and Systematics 27
- Cognitive Neuroscience 26
Countries citing papers authored by Lynne Verselis
This map shows the geographic impact of Lynne Verselis'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 Lynne Verselis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynne Verselis more than expected).
Fields of papers citing papers by Lynne Verselis
This network shows the impact of papers produced by Lynne Verselis. 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 Lynne Verselis. The network helps show where Lynne Verselis may publish in the future.
Co-authorship network of co-authors of Lynne Verselis
This figure shows the co-authorship network connecting the top 25 collaborators of Lynne Verselis. A scholar is included among the top collaborators of Lynne Verselis 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 Lynne Verselis. Lynne Verselis 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 | 6 | |
| 3 | 44 | |
| 4 | 180 |
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.