Tero Varpula
About
In The Last Decade
Tero Varpula
61 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 103
- Emergency Medicine 1.1k
- Critical Care and Intensive Care Medicine 772
- Epidemiology 728
- Pulmonary and Respiratory Medicine 706
- Neurology 357
Countries citing papers authored by Tero Varpula
This map shows the geographic impact of Tero Varpula'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 Tero Varpula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tero Varpula more than expected).
Fields of papers citing papers by Tero Varpula
This network shows the impact of papers produced by Tero Varpula. 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 Tero Varpula. The network helps show where Tero Varpula may publish in the future.
Co-authorship network of co-authors of Tero Varpula
This figure shows the co-authorship network connecting the top 25 collaborators of Tero Varpula. A scholar is included among the top collaborators of Tero Varpula 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 Tero Varpula. Tero Varpula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 57 | |
| 5 | 12 | |
| 6 | The novel cardiovascular biomarker secretoneurin predicts mortality and shock in critical ill patients with infections | 1 |
| 7 | 34 | |
| 8 | 52 | |
| 9 | 123 | |
| 10 | 17 | |
| 11 | 101 | |
| 12 | 24 | |
| 13 | 105 | |
| 14 | 62 | |
| 15 | 143 | |
| 16 | 104 | |
| 17 | 15 | |
| 18 | 7 | |
| 19 | 30 | |
| 20 | 0 |
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.