Siobhan Wade
About
In The Last Decade
Siobhan Wade
10 papers receiving 505 citations
Peers
Comparison fields: 5 of 65
- Immunology 228
- Molecular Biology 209
- Rheumatology 194
- Hematology 97
- Cancer Research 89
Countries citing papers authored by Siobhan Wade
This map shows the geographic impact of Siobhan Wade'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 Siobhan Wade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siobhan Wade more than expected).
Fields of papers citing papers by Siobhan Wade
This network shows the impact of papers produced by Siobhan Wade. 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 Siobhan Wade. The network helps show where Siobhan Wade may publish in the future.
Co-authorship network of co-authors of Siobhan Wade
This figure shows the co-authorship network connecting the top 25 collaborators of Siobhan Wade. A scholar is included among the top collaborators of Siobhan Wade 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 Siobhan Wade. Siobhan Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 60 | |
| 3 | 36 | |
| 4 | 31 | |
| 5 | 54 | |
| 6 | 27 | |
| 7 | 32 | |
| 8 | 108 | |
| 9 | 71 | |
| 10 | 78 |
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.