Renaud Maire

16 total papers · 636 total citations
7 papers, 201 citations indexed

About

Renaud Maire is a scholar working on Oncology, Epidemiology and Neurology. According to data from OpenAlex, Renaud Maire has authored 7 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in Renaud Maire's work include Neuroendocrine Tumor Research Advances (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Neuroblastoma Research and Treatments (3 papers). Renaud Maire is often cited by papers focused on Neuroendocrine Tumor Research Advances (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Neuroblastoma Research and Treatments (3 papers). Renaud Maire collaborates with scholars based in Switzerland, Italy and Germany. Renaud Maire's co-authors include Aurel Perren, Matthias S. Dettmer, Annunziata Di Domenico, Ilaria Marinoni, Erik Vassella, Christodoulos P. Pipinikas, Cédric Simillion, Konstantin Bräutigam, Christian M. Schürch and Marc‐David Ruepp and has published in prestigious journals such as Thyroid, Cancers and Neuroendocrinology.

In The Last Decade

Renaud Maire

6 papers receiving 197 citations

Author Peers

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

Author Last Decade Papers Cites
Renaud Maire 135 108 56 37 37 7 201
Yvonne Shutack 102 0.8× 109 1.0× 73 1.3× 45 1.2× 6 0.2× 6 212
Federica de Cicco 167 1.2× 125 1.2× 69 1.2× 43 1.2× 5 0.1× 10 253
Annunziata Di Domenico 206 1.5× 207 1.9× 123 2.2× 39 1.1× 4 0.1× 9 268
Victoria E. Wang 109 0.8× 73 0.7× 31 0.6× 49 1.3× 8 0.2× 6 153
Charissa Jessurun 91 0.7× 23 0.2× 13 0.2× 33 0.9× 35 0.9× 10 167
Jinping Liu 31 0.2× 37 0.3× 17 0.3× 50 1.4× 16 0.4× 9 145
Miriam Schulz 93 0.7× 25 0.2× 9 0.2× 29 0.8× 35 0.9× 7 209
Wei Huff 93 0.7× 26 0.2× 14 0.3× 30 0.8× 104 2.8× 10 231
Mara Epstein 78 0.6× 54 0.5× 14 0.3× 59 1.6× 31 0.8× 5 180
Ann Kennedy 62 0.5× 46 0.4× 23 0.4× 79 2.1× 5 0.1× 6 193

Countries citing papers authored by Renaud Maire

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Maire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Maire

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