Will Drake
About
In The Last Decade
Will Drake
4 papers receiving 272 citations
Peers
Comparison fields: 5 of 33
- Endocrinology, Diabetes and Metabolism 258
- Genetics 91
- Surgery 70
- Epidemiology 33
- Pathology and Forensic Medicine 32
Countries citing papers authored by Will Drake
This map shows the geographic impact of Will Drake'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 Will Drake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Drake more than expected).
Fields of papers citing papers by Will Drake
This network shows the impact of papers produced by Will Drake. 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 Will Drake. The network helps show where Will Drake may publish in the future.
Co-authorship network of co-authors of Will Drake
This figure shows the co-authorship network connecting the top 25 collaborators of Will Drake. A scholar is included among the top collaborators of Will Drake 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 Will Drake. Will Drake is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 247 | |
| 5 | Successful use of once weekly pegvisomant administration in patients with acromegaly | 1 |
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.