Guillaume Suffert
About
In The Last Decade
Guillaume Suffert
4 papers receiving 434 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 300
- Molecular Biology 263
- Immunology 93
- Oncology 85
- Rheumatology 47
Countries citing papers authored by Guillaume Suffert
This map shows the geographic impact of Guillaume Suffert'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 Guillaume Suffert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillaume Suffert more than expected).
Fields of papers citing papers by Guillaume Suffert
This network shows the impact of papers produced by Guillaume Suffert. 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 Guillaume Suffert. The network helps show where Guillaume Suffert may publish in the future.
Co-authorship network of co-authors of Guillaume Suffert
This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Suffert. A scholar is included among the top collaborators of Guillaume Suffert 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 Guillaume Suffert. Guillaume Suffert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 79 | |
| 2 | 98 | |
| 3 | 141 | |
| 4 | 119 |
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.