Hayley Farmer
About
In The Last Decade
Hayley Farmer
8 papers receiving 153 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 83
- Hepatology 44
- Virology 34
- Oncology 32
- Pharmacology 28
Countries citing papers authored by Hayley Farmer
This map shows the geographic impact of Hayley Farmer'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 Hayley Farmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayley Farmer more than expected).
Fields of papers citing papers by Hayley Farmer
This network shows the impact of papers produced by Hayley Farmer. 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 Hayley Farmer. The network helps show where Hayley Farmer may publish in the future.
Co-authorship network of co-authors of Hayley Farmer
This figure shows the co-authorship network connecting the top 25 collaborators of Hayley Farmer. A scholar is included among the top collaborators of Hayley Farmer 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 Hayley Farmer. Hayley Farmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 12 | |
| 4 | 49 | |
| 5 | 1 | |
| 6 | 69 | |
| 7 | 9 | |
| 8 | Dose effect relationships in a mouse mammary tumor. | 6 |
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.