Rebecca Nitcher
About
In The Last Decade
Rebecca Nitcher
5 papers receiving 422 citations
Peers
Comparison fields: 5 of 27
- Plant Science 412
- Molecular Biology 152
- Genetics 112
- Agronomy and Crop Science 101
- Ecology, Evolution, Behavior and Systematics 12
Countries citing papers authored by Rebecca Nitcher
This map shows the geographic impact of Rebecca Nitcher'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 Rebecca Nitcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rebecca Nitcher more than expected).
Fields of papers citing papers by Rebecca Nitcher
This network shows the impact of papers produced by Rebecca Nitcher. 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 Rebecca Nitcher. The network helps show where Rebecca Nitcher may publish in the future.
Co-authorship network of co-authors of Rebecca Nitcher
This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Nitcher. A scholar is included among the top collaborators of Rebecca Nitcher 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 Rebecca Nitcher. Rebecca Nitcher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 92 | |
| 3 | 66 | |
| 4 | 167 | |
| 5 | 86 |
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.