Irina Hutson
About
In The Last Decade
Irina Hutson
10 papers receiving 322 citations
Peers
Comparison fields: 5 of 58
- Physiology 116
- Rheumatology 86
- Epidemiology 78
- Molecular Biology 64
- Endocrinology, Diabetes and Metabolism 60
Countries citing papers authored by Irina Hutson
This map shows the geographic impact of Irina Hutson'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 Irina Hutson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Hutson more than expected).
Fields of papers citing papers by Irina Hutson
This network shows the impact of papers produced by Irina Hutson. 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 Irina Hutson. The network helps show where Irina Hutson may publish in the future.
Co-authorship network of co-authors of Irina Hutson
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Hutson. A scholar is included among the top collaborators of Irina Hutson 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 Irina Hutson. Irina Hutson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 127 | |
| 3 | 15 | |
| 4 | 23 | |
| 5 | 10 | |
| 6 | 27 | |
| 7 | 59 | |
| 8 | 2 | |
| 9 | 58 | |
| 10 | 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.