Nicolas Arlicot

84 total papers · 1.7k total citations
50 papers, 1.3k citations indexed

About

Nicolas Arlicot is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Nicolas Arlicot has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Neurology. Recurrent topics in Nicolas Arlicot's work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (11 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Nicolas Arlicot is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (13 papers), Alzheimer's disease research and treatments (11 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). Nicolas Arlicot collaborates with scholars based in France, United States and Australia. Nicolas Arlicot's co-authors include Denis Guilloteau, Anne-Claire Dupont, Bérenger Largeau, Claire Tronel, Sylvie Chalon, Clovis Tauber, Maria-Joao Santiago Ribeiro, Michael Kassiou, Philippe Corcia and Y. Venel and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Neurology.

In The Last Decade

Nicolas Arlicot

49 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Nicolas Arlicot 385 340 277 251 207 50 1.3k
Martin Schain 329 0.9× 280 0.8× 310 1.1× 174 0.7× 205 1.0× 43 1.2k
Keunpoong Lim 371 1.0× 381 1.1× 187 0.7× 116 0.5× 214 1.0× 47 1.7k
Ansel T. Hillmer 258 0.7× 426 1.3× 286 1.0× 107 0.4× 277 1.3× 92 1.5k
Kimberly J. Jenko 474 1.2× 431 1.3× 425 1.5× 111 0.4× 221 1.1× 26 1.4k
Idriss Bennacef 416 1.1× 509 1.5× 356 1.3× 170 0.7× 353 1.7× 28 1.5k
Roman Vlkolinský 261 0.7× 495 1.5× 440 1.6× 115 0.5× 151 0.7× 45 1.4k
Dai Fukumoto 249 0.6× 401 1.2× 178 0.6× 132 0.5× 274 1.3× 43 1.5k
Zsolt Cselényi 292 0.8× 379 1.1× 542 2.0× 327 1.3× 404 2.0× 56 1.8k
Donna Sheedy 458 1.2× 499 1.5× 214 0.8× 337 1.3× 102 0.5× 40 1.7k
Rachita K. Sumbria 409 1.1× 392 1.2× 366 1.3× 193 0.8× 127 0.6× 47 1.2k

Countries citing papers authored by Nicolas Arlicot

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Arlicot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Arlicot

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Arlicot. A scholar is included among the top collaborators of Nicolas Arlicot 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 Nicolas Arlicot. Nicolas Arlicot 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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2026