Journal of Physiology-Paris

1.1k papers and 31.0k indexed citations i.

About

The 1.1k papers published in Journal of Physiology-Paris in the last decades have received a total of 31.0k indexed citations. Papers published in Journal of Physiology-Paris usually cover Cellular and Molecular Neuroscience (460 papers), Cognitive Neuroscience (428 papers) and Molecular Biology (269 papers) specifically the topics of Neural dynamics and brain function (259 papers), Neuroscience and Neuropharmacology Research (219 papers) and Neurobiology and Insect Physiology Research (80 papers). The most active scholars publishing in Journal of Physiology-Paris are Ulrike Halsband, Alfonso Caramazza, Bradford Z. Mahon, James M. Kilner, Lee Harrison, Karl Friston, Steven G. Younkin, James F. Cavanagh, Alexander J. Shackman and Martín Lotze.

In The Last Decade

Fields of papers published in Journal of Physiology-Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Physiology-Paris. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Physiology-Paris.

Countries where authors publish in Journal of Physiology-Paris

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Physiology-Paris. 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 papers published in Journal of Physiology-Paris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Physiology-Paris 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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