Gaëlle Noé

53 total papers · 808 total citations
26 papers, 610 citations indexed

About

Gaëlle Noé is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gaëlle Noé has authored 26 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gaëlle Noé's work include Colorectal Cancer Treatments and Studies (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Prostate Cancer Treatment and Research (4 papers). Gaëlle Noé is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Prostate Cancer Treatment and Research (4 papers). Gaëlle Noé collaborates with scholars based in France and United States. Gaëlle Noé's co-authors include Michel Vidal, Benoı̂t Blanchet, François Goldwasser, Audrey Thomas‐Schoemann, Alicja Puszkiel, Pascaline Boudou‐Rouquette, N. Kramkimel, Christophe Bardin, Noël Zahr and Audrey Bellesœur and has published in prestigious journals such as Cancer Research, Scientific Reports and Annals of Oncology.

In The Last Decade

Gaëlle Noé

26 papers receiving 601 citations

Author Peers

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

Author Last Decade Papers Cites
Gaëlle Noé 242 191 114 61 54 26 610
Xiao Wang 323 1.3× 208 1.1× 108 0.9× 29 0.5× 39 0.7× 36 618
Hans Stieltjes 167 0.7× 153 0.8× 130 1.1× 64 1.0× 54 1.0× 26 625
Graeme Young 205 0.8× 127 0.7× 102 0.9× 37 0.6× 34 0.6× 37 650
Scott Fettner 136 0.6× 257 1.3× 180 1.6× 27 0.4× 48 0.9× 16 565
Feng Bai 212 0.9× 235 1.2× 126 1.1× 23 0.4× 34 0.6× 19 524
Madelé van Dyk 180 0.7× 195 1.0× 102 0.9× 85 1.4× 14 0.3× 35 674
Andrew P. Beelen 164 0.7× 235 1.2× 115 1.0× 25 0.4× 36 0.7× 35 550
Franz A. Schmid 296 1.2× 167 0.9× 71 0.6× 28 0.5× 19 0.4× 53 670
Yue-Li Sun 245 1.0× 229 1.2× 59 0.5× 68 1.1× 37 0.7× 23 531
M Slavík 191 0.8× 127 0.7× 67 0.6× 36 0.6× 52 1.0× 35 654

Countries citing papers authored by Gaëlle Noé

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle Noé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëlle Noé

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