Anna Passera
About
In The Last Decade
Anna Passera
6 papers receiving 81 citations
Peers
Comparison fields: 5 of 37
- Endocrinology, Diabetes and Metabolism 41
- Neurology 19
- Physiology 16
- Epidemiology 15
- Surgery 14
Countries citing papers authored by Anna Passera
This map shows the geographic impact of Anna Passera'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 Anna Passera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Passera more than expected).
Fields of papers citing papers by Anna Passera
This network shows the impact of papers produced by Anna Passera. 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 Anna Passera. The network helps show where Anna Passera may publish in the future.
Co-authorship network of co-authors of Anna Passera
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Passera. A scholar is included among the top collaborators of Anna Passera 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 Anna Passera. Anna Passera 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 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 62 | |
| 7 | Ex vivo evaluation of pidotimod activity in patients with chronic obstructive pulmonary disease. | 9 |
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.