Matic Pusovnik
About
In The Last Decade
Matic Pusovnik
1 paper receiving 277 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Biology 138
- Pathology and Forensic Medicine 87
- Cardiology and Cardiovascular Medicine 71
- Cancer Research 48
- Surgery 30
Countries citing papers authored by Matic Pusovnik
This map shows the geographic impact of Matic Pusovnik'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 Matic Pusovnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matic Pusovnik more than expected).
Fields of papers citing papers by Matic Pusovnik
This network shows the impact of papers produced by Matic Pusovnik. 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 Matic Pusovnik. The network helps show where Matic Pusovnik may publish in the future.
Co-authorship network of co-authors of Matic Pusovnik
This figure shows the co-authorship network connecting the top 25 collaborators of Matic Pusovnik. A scholar is included among the top collaborators of Matic Pusovnik 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 Matic Pusovnik. Matic Pusovnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Myocardial ischemia-reperfusion injury and the influence of inflammation breakdown → | 278 |
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.