Natasha Bonilla
About
In The Last Decade
Natasha Bonilla
8 papers receiving 650 citations
Peers
Comparison fields: 5 of 80
- Ecology 453
- Molecular Biology 255
- Infectious Diseases 152
- Microbiology 130
- Plant Science 94
Countries citing papers authored by Natasha Bonilla
This map shows the geographic impact of Natasha Bonilla'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 Natasha Bonilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Bonilla more than expected).
Fields of papers citing papers by Natasha Bonilla
This network shows the impact of papers produced by Natasha Bonilla. 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 Natasha Bonilla. The network helps show where Natasha Bonilla may publish in the future.
Co-authorship network of co-authors of Natasha Bonilla
This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Bonilla. A scholar is included among the top collaborators of Natasha Bonilla 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 Natasha Bonilla. Natasha Bonilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 240 | |
| 3 | 22 | |
| 4 | 118 | |
| 5 | 149 | |
| 6 | 36 | |
| 7 | 29 | |
| 8 | 25 |
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.