Fiona Watkins
About
In The Last Decade
Fiona Watkins
8 papers receiving 366 citations
Peers
Comparison fields: 5 of 37
- Hematology 246
- Molecular Biology 180
- Genetics 117
- Physiology 70
- Genetics 48
Countries citing papers authored by Fiona Watkins
This map shows the geographic impact of Fiona Watkins'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 Fiona Watkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fiona Watkins more than expected).
Fields of papers citing papers by Fiona Watkins
This network shows the impact of papers produced by Fiona Watkins. 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 Fiona Watkins. The network helps show where Fiona Watkins may publish in the future.
Co-authorship network of co-authors of Fiona Watkins
This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Watkins. A scholar is included among the top collaborators of Fiona Watkins 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 Fiona Watkins. Fiona Watkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 12 | |
| 3 | 180 | |
| 4 | A novel gene is fused to NUP98 in the t(5;11)(q35;p15.5) in de novo childhood AML. | 2 |
| 5 | 26 | |
| 6 | 52 | |
| 7 | 3 | |
| 8 | 44 |
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.