Maéva Guillaume

89 total papers · 3.7k total citations
45 papers, 1.0k citations indexed

About

Maéva Guillaume is a scholar working on Epidemiology, Hepatology and Genetics. According to data from OpenAlex, Maéva Guillaume has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 14 papers in Hepatology and 10 papers in Genetics. Recurrent topics in Maéva Guillaume's work include Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (13 papers) and Estrogen and related hormone effects (10 papers). Maéva Guillaume is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (13 papers) and Estrogen and related hormone effects (10 papers). Maéva Guillaume collaborates with scholars based in France, Belgium and United States. Maéva Guillaume's co-authors include A Jost, A. Kervran, Christophe Bureau, Pierre Gourdy, Coralie Fontaine, Jean‐François Arnal, P. Netter, Pierre J. Meunier, Jean‐Louis Martin and N. Mamelle and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Maéva Guillaume

41 papers receiving 989 citations

Author Peers

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

Author Last Decade Papers Cites
Maéva Guillaume 319 313 195 194 170 45 1.0k
Z. Varghese 255 0.8× 246 0.8× 82 0.4× 246 1.3× 87 0.5× 55 1.0k
David A. Sass 412 1.3× 446 1.4× 150 0.8× 352 1.8× 67 0.4× 52 1.1k
Frank T. Maher 167 0.5× 124 0.4× 95 0.5× 239 1.2× 78 0.5× 36 899
Cindy Kok 116 0.4× 220 0.7× 448 2.3× 169 0.9× 121 0.7× 41 1.2k
Miyase Bayraktar 109 0.3× 185 0.6× 179 0.9× 194 1.0× 43 0.3× 43 1.0k
P. S. N. Menon 73 0.2× 295 0.9× 126 0.6× 207 1.1× 84 0.5× 47 1.1k
Ryuichiro Sasaki 207 0.6× 197 0.6× 250 1.3× 336 1.7× 78 0.5× 31 1.0k
Paul Brennan 180 0.6× 319 1.0× 183 0.9× 153 0.8× 59 0.3× 54 1.2k
David Sherman 165 0.5× 260 0.8× 150 0.8× 80 0.4× 48 0.3× 34 834
Parjeet Kaur 106 0.3× 571 1.8× 234 1.2× 292 1.5× 84 0.5× 27 1.1k

Countries citing papers authored by Maéva Guillaume

Since Specialization
Citations

This map shows the geographic impact of Maéva Guillaume'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 Maéva Guillaume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maéva Guillaume more than expected).

Fields of papers citing papers by Maéva Guillaume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maéva Guillaume. 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 Maéva Guillaume. The network helps show where Maéva Guillaume may publish in the future.

Co-authorship network of co-authors of Maéva Guillaume

This figure shows the co-authorship network connecting the top 25 collaborators of Maéva Guillaume. A scholar is included among the top collaborators of Maéva Guillaume 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 Maéva Guillaume. Maéva Guillaume is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026