Guillaume Suffert

8 total papers · 722 total citations
4 papers, 436 citations indexed

About

Guillaume Suffert is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Guillaume Suffert has authored 4 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Guillaume Suffert's work include Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Circular RNAs in diseases (2 papers). Guillaume Suffert is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers) and Circular RNAs in diseases (2 papers). Guillaume Suffert collaborates with scholars based in France, Switzerland and India. Guillaume Suffert's co-authors include Sébastien Pfeffer, Ghada Alsaleh, Dominique Wachsmann, Jean Sibilia, Jacques‐Eric Gottenberg, Laurent Frenzel, Lucas Philippe, Philippe Georgel, Alain Meyer and Tom Juncker and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and PLoS Pathogens.

In The Last Decade

Guillaume Suffert

4 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guillaume Suffert 299 263 92 85 47 4 436
Katarzyna Smigielska‐Czepiel 315 1.1× 309 1.2× 147 1.6× 44 0.5× 32 0.7× 8 492
Xinrui Shao 212 0.7× 205 0.8× 137 1.5× 46 0.5× 60 1.3× 6 402
Els Louagie 133 0.4× 229 0.9× 199 2.2× 67 0.8× 35 0.7× 8 488
Marion Gijbels 142 0.5× 179 0.7× 162 1.8× 54 0.6× 45 1.0× 5 458
Maoyi Lai 293 1.0× 305 1.2× 91 1.0× 26 0.3× 28 0.6× 5 430
Marthe F. S. Lindenbergh 188 0.6× 385 1.5× 184 2.0× 54 0.6× 22 0.5× 7 484
Dean A. Fennell 192 0.6× 322 1.2× 35 0.4× 58 0.7× 11 0.2× 5 392
Masanori Ii 202 0.7× 201 0.8× 46 0.5× 177 2.1× 15 0.3× 5 447
Yue Zhang 87 0.3× 258 1.0× 82 0.9× 45 0.5× 28 0.6× 5 482
Talin Sarkissian 73 0.2× 288 1.1× 62 0.7× 176 2.1× 69 1.5× 6 396

Countries citing papers authored by Guillaume Suffert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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