Anne Kunnari
About
In The Last Decade
Anne Kunnari
9 papers receiving 390 citations
Peers
Comparison fields: 5 of 56
- Epidemiology 296
- Physiology 154
- Endocrine and Autonomic Systems 145
- Cardiology and Cardiovascular Medicine 95
- Immunology 58
Countries citing papers authored by Anne Kunnari
This map shows the geographic impact of Anne Kunnari'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 Anne Kunnari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Kunnari more than expected).
Fields of papers citing papers by Anne Kunnari
This network shows the impact of papers produced by Anne Kunnari. 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 Anne Kunnari. The network helps show where Anne Kunnari may publish in the future.
Co-authorship network of co-authors of Anne Kunnari
This figure shows the co-authorship network connecting the top 25 collaborators of Anne Kunnari. A scholar is included among the top collaborators of Anne Kunnari 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 Anne Kunnari. Anne Kunnari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 48 | |
| 3 | 40 | |
| 4 | 27 | |
| 5 | 32 | |
| 6 | Genetic, epidemiological and cell culture studies on human resistin | 9 |
| 7 | 73 | |
| 8 | 118 | |
| 9 | 63 |
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.