Gautier Paux

39 total papers · 666 total citations
26 papers, 390 citations indexed

About

Gautier Paux is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Statistics and Probability. According to data from OpenAlex, Gautier Paux has authored 26 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 8 papers in Statistics and Probability. Recurrent topics in Gautier Paux's work include Advanced Breast Cancer Therapies (9 papers), Statistical Methods in Clinical Trials (8 papers) and HER2/EGFR in Cancer Research (7 papers). Gautier Paux is often cited by papers focused on Advanced Breast Cancer Therapies (9 papers), Statistical Methods in Clinical Trials (8 papers) and HER2/EGFR in Cancer Research (7 papers). Gautier Paux collaborates with scholars based in France, United States and Belgium. Gautier Paux's co-authors include F Boismare, Bernard Bégaud, Nicholas Moore, René Royer, M Biour, Alex Dmitrienko, Thomas Brechenmacher, Brian A. Millen, Mario Campone and Patrick Cohen and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Gautier Paux

25 papers receiving 375 citations

Author Peers

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

Author Last Decade Papers Cites
Gautier Paux 115 110 92 71 68 26 390
Amandine Gouverneur 120 1.0× 57 0.5× 58 0.6× 7 0.1× 32 0.5× 28 437
Giulia Fornasier 134 1.2× 48 0.4× 24 0.3× 11 0.2× 99 1.5× 14 407
Zachary Veitch 188 1.6× 52 0.5× 19 0.2× 19 0.3× 9 0.1× 36 375
Hoffmann-La Roche 256 2.2× 91 0.8× 24 0.3× 113 1.6× 7 0.1× 15 446
María Gordillo‐Marañón 23 0.2× 28 0.3× 8 0.1× 136 1.9× 16 0.2× 12 400
Alberto Bonetta 71 0.6× 250 2.3× 30 0.3× 20 0.3× 4 0.1× 25 383
Frida Schain 57 0.5× 81 0.7× 46 0.5× 21 0.3× 10 0.1× 26 338
Enrico Tendi 83 0.7× 21 0.2× 17 0.2× 16 0.2× 3 0.0× 23 345
Arturo Soto-Matos 201 1.7× 135 1.2× 67 0.7× 5 0.1× 6 0.1× 42 440
C. L. Vogel 278 2.4× 56 0.5× 35 0.4× 64 0.9× 38 0.6× 28 423

Countries citing papers authored by Gautier Paux

Since Specialization
Citations

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

Fields of papers citing papers by Gautier Paux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gautier Paux

This figure shows the co-authorship network connecting the top 25 collaborators of Gautier Paux. A scholar is included among the top collaborators of Gautier Paux 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 Gautier Paux. Gautier Paux 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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