Maryvonne Fourcin
About
In The Last Decade
Maryvonne Fourcin
9 papers receiving 409 citations
Peers
Comparison fields: 5 of 57
- Oncology 296
- Immunology 187
- Molecular Biology 125
- Cancer Research 39
- Pharmacology 36
Countries citing papers authored by Maryvonne Fourcin
This map shows the geographic impact of Maryvonne Fourcin'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 Maryvonne Fourcin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryvonne Fourcin more than expected).
Fields of papers citing papers by Maryvonne Fourcin
This network shows the impact of papers produced by Maryvonne Fourcin. 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 Maryvonne Fourcin. The network helps show where Maryvonne Fourcin may publish in the future.
Co-authorship network of co-authors of Maryvonne Fourcin
This figure shows the co-authorship network connecting the top 25 collaborators of Maryvonne Fourcin. A scholar is included among the top collaborators of Maryvonne Fourcin 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 Maryvonne Fourcin. Maryvonne Fourcin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 101 | |
| 3 | 100 | |
| 4 | 19 | |
| 5 | Hepatocyte-derived cell lines express a functional receptor for cardiotrophin-1. | 5 |
| 6 | 62 | |
| 7 | 21 | |
| 8 | 44 | |
| 9 | 41 |
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.