Daniel Fourmy

94 papers and 3.0k indexed citations i.

About

Daniel Fourmy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, Daniel Fourmy has authored 94 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cellular and Molecular Neuroscience, 62 papers in Molecular Biology and 33 papers in Oncology. Recurrent topics in Daniel Fourmy’s work include Neuropeptides and Animal Physiology (62 papers), Receptor Mechanisms and Signaling (43 papers) and Peptidase Inhibition and Analysis (24 papers). Daniel Fourmy is often cited by papers focused on Neuropeptides and Animal Physiology (62 papers), Receptor Mechanisms and Signaling (43 papers) and Peptidase Inhibition and Analysis (24 papers). Daniel Fourmy collaborates with scholars based in France, Germany and Spain. Daniel Fourmy's co-authors include Marlène Dufresne, Catherine Seva, Chantal Escrieut, Lucien Pradayrol, Nicole Vaysse, Véronique Gigoux, Sandrine Silvente‐Poirot, Pascal Clerc, Luis Moroder and Bernard Maigret and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Physiological Reviews.

In The Last Decade

Co-authorship network of co-authors of Daniel Fourmy i

Fields of papers citing papers by Daniel Fourmy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Fourmy

Since Specialization
Citations

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