Leora Gollan
About
In The Last Decade
Leora Gollan
7 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 679
- Molecular Biology 611
- Cell Biology 280
- Developmental Neuroscience 226
- Genetics 211
Countries citing papers authored by Leora Gollan
This map shows the geographic impact of Leora Gollan'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 Leora Gollan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leora Gollan more than expected).
Fields of papers citing papers by Leora Gollan
This network shows the impact of papers produced by Leora Gollan. 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 Leora Gollan. The network helps show where Leora Gollan may publish in the future.
Co-authorship network of co-authors of Leora Gollan
This figure shows the co-authorship network connecting the top 25 collaborators of Leora Gollan. A scholar is included among the top collaborators of Leora Gollan 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 Leora Gollan. Leora Gollan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | 296 | |
| 3 | 121 | |
| 4 | 90 | |
| 5 | 115 | |
| 6 | 52 | |
| 7 | 425 |
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.