Denis Marchesan
About
In The Last Decade
Denis Marchesan
8 papers receiving 558 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 271
- Biochemistry 170
- Pulmonary and Respiratory Medicine 137
- Physiology 130
- Cell Biology 121
Countries citing papers authored by Denis Marchesan
This map shows the geographic impact of Denis Marchesan'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 Denis Marchesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Marchesan more than expected).
Fields of papers citing papers by Denis Marchesan
This network shows the impact of papers produced by Denis Marchesan. 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 Denis Marchesan. The network helps show where Denis Marchesan may publish in the future.
Co-authorship network of co-authors of Denis Marchesan
This figure shows the co-authorship network connecting the top 25 collaborators of Denis Marchesan. A scholar is included among the top collaborators of Denis Marchesan 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 Denis Marchesan. Denis Marchesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 15 | |
| 3 | 174 | |
| 4 | 144 | |
| 5 | 29 | |
| 6 | 79 | |
| 7 | 79 | |
| 8 | 1 |
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.