Maria Sucena
About
In The Last Decade
Maria Sucena
40 papers receiving 443 citations
Peers
Comparison fields: 5 of 68
- Pulmonary and Respiratory Medicine 239
- Oncology 122
- Molecular Biology 110
- Physiology 110
- Cancer Research 101
Countries citing papers authored by Maria Sucena
This map shows the geographic impact of Maria Sucena'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 Maria Sucena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Sucena more than expected).
Fields of papers citing papers by Maria Sucena
This network shows the impact of papers produced by Maria Sucena. 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 Maria Sucena. The network helps show where Maria Sucena may publish in the future.
Co-authorship network of co-authors of Maria Sucena
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Sucena. A scholar is included among the top collaborators of Maria Sucena 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 Maria Sucena. Maria Sucena 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | Treatable Traits in COPD – A Proposed Approach | 27 |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 100 | |
| 11 | 33 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 38 | |
| 20 | 4 |
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.