Rachel Galot

68 total papers · 422 total citations
24 papers, 214 citations indexed

About

Rachel Galot is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Rachel Galot has authored 24 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Rachel Galot's work include Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (8 papers) and Head and Neck Cancer Studies (6 papers). Rachel Galot is often cited by papers focused on Lung Cancer Treatments and Mutations (10 papers), Cancer Genomics and Diagnostics (8 papers) and Head and Neck Cancer Studies (6 papers). Rachel Galot collaborates with scholars based in Belgium, United States and France. Rachel Galot's co-authors include Jean‐Pascal Machiels, Nisha Limaye, Cédric van Marcke, Antonella Mendola, Raphaël Helaers, Jérôme Ambroise, Rose‐Marie Goebbels, Miikka Vikkula, Jan Bogaerts and Anne-Sophie Govaerts and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Annals of Oncology.

In The Last Decade

Rachel Galot

19 papers receiving 210 citations

Author Peers

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

Author Last Decade Papers Cites
Rachel Galot 126 90 86 84 50 24 214
Vanessa de Luque 164 1.3× 145 1.6× 135 1.6× 50 0.6× 25 0.5× 17 316
Grégoire Marret 48 0.4× 113 1.3× 94 1.1× 72 0.9× 20 0.4× 24 220
Jimena Pérez 96 0.8× 132 1.5× 175 2.0× 49 0.6× 28 0.6× 21 283
Yang Bao 80 0.6× 86 1.0× 174 2.0× 52 0.6× 64 1.3× 22 306
Yonglin Cai 92 0.7× 147 1.6× 98 1.1× 43 0.5× 107 2.1× 30 293
Gábor Pajkos 80 0.6× 191 2.1× 117 1.4× 71 0.8× 37 0.7× 17 317
Jugao Fang 105 0.8× 64 0.7× 200 2.3× 53 0.6× 31 0.6× 30 308
S.-H.I. Ou 82 0.7× 127 1.4× 110 1.3× 123 1.5× 87 1.7× 16 306
Chia‐Yun Wu 65 0.5× 84 0.9× 172 2.0× 34 0.4× 29 0.6× 22 297
Umair Mahmood 102 0.8× 48 0.5× 44 0.5× 72 0.9× 89 1.8× 16 199

Countries citing papers authored by Rachel Galot

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Galot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Galot

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