M. Cu�nod

8 papers and 423 indexed citations i.

About

M. Cu�nod is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biochemistry. According to data from OpenAlex, M. Cu�nod has authored 8 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 2 papers in Cognitive Neuroscience and 2 papers in Biochemistry. Recurrent topics in M. Cu�nod’s work include Neuroscience and Neuropharmacology Research (4 papers), Visual perception and processing mechanisms (2 papers) and Olfactory and Sensory Function Studies (1 paper). M. Cu�nod is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Visual perception and processing mechanisms (2 papers) and Olfactory and Sensory Function Studies (1 paper). M. Cu�nod collaborates with scholars based in Switzerland and France. M. Cu�nod's co-authors include P. Streit, J. Schonbach, Carlos Matute, Rolf Meier, Jasna Mihailović, Pedro Grandes, P. L. Herrling, Kim Q., Andreas Burkhalter and Leif Wiklund and has published in prestigious journals such as Experimental Brain Research, Journal of Neural Transmission and Histochemistry.

In The Last Decade

Co-authorship network of co-authors of M. Cu�nod i

Fields of papers citing papers by M. Cu�nod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Cu�nod. 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 M. Cu�nod. The network helps show where M. Cu�nod may publish in the future.

Countries citing papers authored by M. Cu�nod

Since Specialization
Citations

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

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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