Linda Su-Feher
About
In The Last Decade
Linda Su-Feher
7 papers receiving 214 citations
Peers
Comparison fields: 5 of 37
- Molecular Biology 150
- Developmental Neuroscience 68
- Genetics 47
- Cellular and Molecular Neuroscience 41
- Cognitive Neuroscience 22
Countries citing papers authored by Linda Su-Feher
This map shows the geographic impact of Linda Su-Feher'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 Linda Su-Feher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Su-Feher more than expected).
Fields of papers citing papers by Linda Su-Feher
This network shows the impact of papers produced by Linda Su-Feher. 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 Linda Su-Feher. The network helps show where Linda Su-Feher may publish in the future.
Co-authorship network of co-authors of Linda Su-Feher
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Su-Feher. A scholar is included among the top collaborators of Linda Su-Feher 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 Linda Su-Feher. Linda Su-Feher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 27 | |
| 8 | 65 | |
| 9 | 89 |
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.